Article
Thermodynamics
I. L. R. Gomes, R. Melicio, V. M. F. Mendes
Summary: This paper presents a microgrid support management system based on a stochastic mixed-integer linear programming problem, managed and operated by a new electricity market agent, the microgrid aggregator. Plausible scenarios are computed using Kernel Density Estimation to characterize random variables, and a scenario reduction is carried out with a two-tier procedure involving K-means clustering technique and a fast backward scenario reduction method. Case studies demonstrate the performance of the microgrid and validate the methodology proposed for the microgrid support management system.
Article
Computer Science, Information Systems
Saeid Shakerinia, Abbas Fattahi Meyabadi, Mojtaba Vahedi, Nasrin Salehi, Mahmoud Samiei Moghaddam
Summary: This paper proposes a mixed-integer quadratic programming based bi-level model for optimizing the operation of microgrids under worst-case scenarios of renewable energy resource outages. The model minimizes energy loss and load shedding in a demand-side management program while optimizing the charging and discharging of electric vehicles and energy storage systems. It also maximizes renewable energy curtailment to account for the worst-case realization of resource outages. The model is implemented in the Julia programming language and solved using the Gurobi commercial solver, and its performance is evaluated using a 33-node microgrid under different cases, showing optimal operation results under worst-case renewable resource interruptions.
Article
Construction & Building Technology
Ning Li, Zhanguo Su, Houssem Jerbi, Rabeh Abbassi, Mohsen Latifi, Noritoshi Furukawa
Summary: The use of plug-in hybrid electric vehicles (PHEVs) can help solve environmental problems and energy crises. Optimal management of PHEVs and renewable energy sources (RESs) in a microgrid is a key challenge. The uncertainties of input parameters are successfully considered in the model development using Monte Carlo simulation.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Engineering, Electrical & Electronic
V. Kumar Saini, Rajesh Kumar, Ameena Saad Al-Sumaiti, B. K. Panigrahi
Summary: Cloud energy storage systems (CES) are a new paradigm for residential community microgrids, allowing consumers to become self-sustaining and interact with utilities and other consumers. This paper proposes the use of CES for residential prosumers, utilizing machine learning-based uncertainty quantization and an artificial ecosystem optimization (AEO) method to determine optimal battery capacity considering uncertainty in PV, load, and price. The feasibility and profitability of deploying CES with residential PV are assessed, and simulation results show that the suggested framework integrated with a distributed PV system is more economical.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Mariem Khemir, Mauricio Rojas, Raisa Popova, Tiba Feizi, Jan F. Heinekamp, Kai Strunz
Summary: This article discusses the implementation and validation of a rule-based control algorithm for sustainable energy supply for EV charging stations at the EUREF-Campus in Berlin, Germany. The performance of the microgrid operation is evaluated with high-resolution measurements over three years from 2017 to 2019, focusing on three key indicators: self-consumption, autonomy, and emission rate. The study investigates the impact of selected operating parameters under real-world and ideal conditions, showing that self-consumption and autonomy rates are sensitive to the rated power capacity of a battery storage system rather than its rated energy capacity, and emissions can be reduced by up to 37% under ideal conditions, highlighting the potential of microgrid applications for sustainable EV use in urban areas.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Construction & Building Technology
Xiaohui Zhou, Seyed Amir Mansouri, Ahmad Rezaee Jordehi, Marcos Tostado-Veliz, Francisco Jurado
Summary: This article develops a multi-stage mechanism for flexibility-oriented energy management of the distribution system, utilizing resources within renewable-based microgrids and internet-of-things enabled smart homes to provide the flexibility requirements of the main grid. The participation of various resources in providing flexibility capacities not only reduces dependence on the upstream grid, but also lowers total daily costs.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Yuxin Wen, Peixiao Fan, Jia Hu, Song Ke, Fuzhang Wu, Xu Zhu
Summary: This paper proposes an optimal scheduling strategy for microgrids with EVs based on Deep Q-learning. By establishing a mathematical model and designing a reward function, this strategy can better deal with the randomness and uncertainty in microgrids and is feasible and superior in the field of optimal scheduling of microgrids with renewable resources and EVs.
Article
Economics
A. Lopez, A. Ramirez-Diaz, I Castilla-Rodriguez, J. Gurriaran, J. A. Mendez-Perez
Summary: Energy storage, demand-side response, and electromobility expansion are crucial for achieving carbon neutrality in the energy transition. This article proposes the reuse of second-life car batteries as energy storage in wind farms on islands to recover renewable energy surpluses. The study presents a methodology for the techno-economical assessment of this solution and its successful application in two wind farms on Tenerife island. The results highlight the feasibility, environmental impact, and government policies regarding subsidy support, while also contributing to the circular economy and sustainable development goals.
Article
Green & Sustainable Science & Technology
Lucian-Ioan Dulau
Summary: This paper investigates the feasibility of using hydrogen as an energy source in microgrids and compares the power cost and CO2 emissions in different scenarios. The results show that hydrogen can effectively supply power in spring and summer, while additional sources such as the power grid and natural gas reforming are necessary for winter and autumn. Winter has the highest power cost and CO2 emissions.
Article
Computer Science, Interdisciplinary Applications
Hadi Rasoulinezhad, Mehdi Abapour, Omid Sadeghian, Kazem Zare
Summary: Integration of energy storage systems with local electricity systems, like microgrids, is emerging due to their economical, reliability, and environmental benefits. In this study, the impact of stationary battery storage and electric vehicles on the resource management of a large-scale microgrid is assessed through a stochastic model. Numerical simulation is conducted to validate the effectiveness of energy storage systems in improving the economic performance of the microgrid.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Energy & Fuels
Chaimaa Essayeh, Thomas Morstyn
Summary: This paper proposes an optimal design strategy for a grid-connected site that determines the optimal sizing capacities of renewable generation and storage, as well as the required network reinforcement capacity. The strategy integrates network upgrade costs and considers flexibility from distributed flexible resources. The application of the strategy on a smart city project demonstrates the importance of considering flexibility in the planning phase.
Article
Energy & Fuels
Muhammed Ali Beyazit, Akin Tascikaraoglu, Joao P. S. Catalao
Summary: This study proposes an energy management approach that utilizes an energy credit mechanism to store excess PV energy in a shared energy storage system and exploit vehicle batteries. The proposed approach effectively reduces energy costs and peak demand.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
Omar Makram Kamel, Ahmed A. Zaki Diab, Mohamed Metwally Mahmoud, Ameena Saad Al-Sumaiti, Hamdy M. Sultan
Summary: Modern electrical power systems require the spread of microgrids, which can operate in either islanded mode or grid-connected mode. The mismatch between loads and sources due to the high renewable share in an islanded microgrid system with stochastic load demands can be alleviated by using advanced energy storage technologies and FACTS tools. Components such as wind farms, solar PV, electric vehicles (EVs), loads, DSTATCOM, and diesel power generators are investigated in the islanded microgrid system. EVs are connected to the microgrid during uncertain periods of renewable energy generation to support microgrid performance, while DSTATCOM provides voltage stability during congestion situations. The study of different scenarios shows that EVs and DSTATCOM play important roles in improving the stability of modern power grids, with the best results achieved when all components are present. The dynamic performance of the proposed configuration is validated using the Matlab/Simulink program.
Article
Computer Science, Information Systems
Hossam S. Salama, Sayed M. Said, Mokhtar Aly, Istvan Vokony, Balint Hartmann
Summary: This study investigates the impact of EV integration approaches on enhancing the operation of utility grids, targeting renewable energy-powered grids with energy storage devices. Results show that coordination through fuzzy logic controllers can reduce power losses, improve voltage profiles, power leveling, and ensure sustainable and reliable power supply.
Article
Energy & Fuels
Sachpreet Kaur, Tarlochan Kaur, Rintu Khanna
Summary: Compared to conventional grids, microgrids in islanded mode experience severe frequency fluctuations. Using storage batteries of electric vehicles (EVs) is a cost-effective solution to address this problem. In this study, a "Frequency Control Module" is designed to monitor EVs and regulate frequency in microgrids. The proposed methodology is verified through case studies, showing reduced frequency variations and minimal changes in plug-in time.
Article
Energy & Fuels
Hong Tan, Zhenxing Li, Qiujie Wang, Mohamed A. Mohamed
Summary: Traditional energy supplies in rural areas are inefficient and environmentally unfriendly. This paper proposes a cooperative operation framework for an integrated rural energy system with greenhouses (IRES-GH) and introduces a novel forecast scenario-based robust energy management method. The method effectively hedges the uncertainty of electric load and wind power output, improving energy utilization efficiency and reducing emissions.
Article
Energy & Fuels
Luana Pontes, Tatiane Costa, Amanda Souza, Nicolau Dantas, Andrea Vasconcelos, Guilherme Rissi, Roberto Dias, Mohamed A. Mohamed, Pierluigi Siano, Manoel Marinho
Summary: The article investigates the power quality problems caused by wind turbines connected to the electrical system and examines how battery energy storage systems (BESS) can solve or mitigate these disturbances. The focus is on power smoothing, but results are also presented for other applications such as factor correction, voltage control, power factor smoothing, frequency control, and time shift. The study presents a real BESS connected in parallel to a group of wind turbines in Brazil and validates its effectiveness through system simulation and real operation data.
Article
Engineering, Civil
Bo Wang, Hengrui Ma, Fei Wang, Udaya Dampage, Mujahed Al-Dhaifallah, Ziad M. Ali, Mohamed A. Mohamed
Summary: This study investigates the application of the Internet of Things (IoT) in smart grids to achieve remote control and monitoring of distributed generation, renewable energy sources, and electrical loads. It proposes an optimization model using a stochastic structure and the social spider algorithm (SSA) for economic energy management and scheduling.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Chemistry, Physical
Z. A. Alrowaili, M. Aouassa, M. H. Mahmoud, Karam S. El-Nasser, Hussein A. Elsayed, T. A. Taha, Ashour M. Ahmed, Ali Hajjiah, Ahmed Mehaney
Summary: A novel and highly sensitive phononic crystal (PnC) sensor was developed for detecting low concentrations (ppm scale) of CdBr2, a highly toxic heavy metal ion in fresh- water. The sensor consists of two thin rubber layers covering a one-dimensional ternary porous silicon (PSi) PnC structure. The presence of the rubber layers leads to the appearance of local resonant modes, which are significantly affected by filling the PSi layers with CdBr2 ions. This sensor design shows promising values of sensitivity, quality factor, detection limit, and damping rate, making it suitable for liquid sensing and bio-sensing applications.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Engineering, Electrical & Electronic
Farhad Javanpour Heravi, Hussein A. Elsayed, Ali Hajjiah, Ahmed Mehaney
Summary: In this study, an ultra-sensitive resonant phononic crystal structure is proposed as a chemical and fluidic sensor to identify dangerous metallic oxides. The sensor design consists of a solid crystal with a central defect filled with the targeted oxide solutions. Optimization of the structure type, layer thickness, unit cell number, and incident angle allows for specific acoustic properties and resonance peaks for each metallic oxide. The results show that the proposed sensor structure has potential for a wide range of applications in various fluids and environmental pollutions.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Ali Hajjiah
Summary: This study systematically investigates the heat generation in CZTSSe thin film solar cells and the impact of elevated temperature and defects on the generation of Joule heat. It is found that both high temperature and defects can enhance the generation of Joule heat, leading to accelerated deterioration of device parameters and decomposition of materials and interfaces. The investigation of heat generation in thin film solar cells under operating or stressing conditions is rarely explored in literature.
OPTICAL AND QUANTUM ELECTRONICS
(2023)
Article
Energy & Fuels
Tamara Merckx, Aranzazu Aguirre, Yinghuan Kuang, Arvid van der Heide, Ali Hajjiah, Yaser Abdulraheem, Anurag Krishna, Jef Poortmans, Tom Aernouts
Summary: We demonstrate the scaling up of perovskite photovoltaic technology with minimal performance losses by developing stable device architecture with industrially compatible processes. The monofacial (aperture area: 784 cm(2)) and bifacial (aperture area: 781 cm(2)) perovskite solar modules exhibit a power conversion efficiency of 13.1% and 11.9%, respectively. Moreover, the encapsulated bifacial mini-modules (aperture area: 4 cm(2)) retained around 92% of initial PCE after 1000 h of damp heat test.
IEEE JOURNAL OF PHOTOVOLTAICS
(2023)
Article
Engineering, Chemical
Ebrahim Ali Alzalab, Umar Suleiman Abubakar, E. Hanyu, Zhiwu Li, Mohammed A. El-Meligy, Ahmed M. El-Sherbeeny
Summary: This paper addresses the issue of unreliable resource failure in manufacturing cells by using load-sharing redundant resources (LSRRs). By allowing a failure-prone resource to share tasks with reliable LSRRs, a system shutdown due to unreliable resource failures can be eliminated.
Article
Energy & Fuels
Ahmad M. Alshamrani, Khalid A. Alnowibet, Adel F. Alrasheedi
Summary: This article proposed a bi-level transmission expansion planning model that incorporates prohibited operating zones (POZ) and multi-fuel units (MFU). The study showed that considering these issues in the lower level's economic dispatch problem introduces more complexity but provides more realistic optimal plans.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Mathematics
Haoming Zhu, Ahmed M. El-Sherbeeny, Mohammed A. El-Meligy, Amir M. Fathollahi-Fard, Zhiwu Li
Summary: This paper proposes a new approach to verify the current-state opacity of discrete event systems modeled with unbounded Petri nets. The concept of opacity verification is extended from bounded Petri nets to unbounded Petri nets. In this model, all transitions and partial places are assumed to be unobservable. A novel basis coverability graph is constructed to find whether an unbounded net system is current-state opaque. A sufficient and necessary condition is proposed for the verification of current-state opacity. An example of a manufacturing system is presented to illustrate the verification of current-state opacity for unbounded net systems.
Article
Mathematics
Abdeldjalil Labed, Ikram Saadaoui, E. Hanyu, Mohammed A. El-Meligy, Zhiwu Li, Mohamed Sharaf
Summary: This paper addresses the issue of sensor deception attacks in supervisory control of discrete-event systems, where an attacker can manipulate sensor readings to mislead the supervisor and cause system damage. Potential attacks are modeled using nondeterministic finite-state transducers, and a new defense strategy using insertion functions is introduced. The insertion functions alter the system's behavior by adding observable events, while a supervisor filter is constructed to recover the original language and confuse the intruder without confusing the supervisor.
Article
Energy & Fuels
Huafeng Liu, Qine Liu, Chaoping Rao, Fei Wang, Fahad Alsokhiry, Alexey V. Shvetsov, Mohamed A. Mohamed
Summary: This paper presents an effective energy management layout (EML) for household demand response (DR) employing Reinforcement Learning (RL) and Fuzzy Reasoning (FR). This method takes into account user satisfaction and schedules the execution of smart home devices based on energy cost. The simulations demonstrate that the suggested method smooths the energy usage and minimizes the energy price while considering consumer satisfaction.
Article
Computer Science, Information Systems
Ahmad M. Alshamrani, Mohammed A. El-Meligy, Mohamed Abdel Fattah Sharaf, Wigdan Aref Mohammed Saif, Emad Mahrous Awwad
Summary: In order to maintain an effective transmission network and support free trading, open and non-discriminatory access to transmission services for all market participants under all conditions is crucial. This paper proposes a methodology for enhancing available transfer capability (ATC) by considering wind power investment in an existing transmission network. Experimental results demonstrate that the proposed model can improve ATC by 27.2%, albeit with increased investment costs resulting in reduced load shedding and wind curtailment.
Article
Computer Science, Information Systems
Ahmad M. Alshamrani, Mohammed A. El-Meligy, Mohamed Abdel Fattah Sharaf, Emad Abouel Nasr
Summary: With the continuous growth in demand for electricity and the increasing connection of renewable energy, power systems are being operated with smaller stability margins. This paper studies the joint optimization of transmission capacity and wind power investment problem, with the unique feature of incorporating voltage stability margin (VSM) in the planning model. The efficacy and feasibility of the presented model is demonstrated on the IEEE 24-bus RTS, validating the constructed methodology.
Article
Computer Science, Information Systems
Priya Singh, Manoj Jha, Mohamed Sharaf, Mohammed A. El-Meligy, Thippa Reddy Gadekallu
Summary: The research proposes a collective framework for stock selection and optimal portfolio formation using deep learning. The proposed hybrid CNN-LSTM model combines feature extraction and sequential learning to accurately predict stock market data and optimize portfolio allocation. The experiment shows that the hybrid model outperforms single models, and is statistically significant and superior to other strategies.
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
