Article
Green & Sustainable Science & Technology
Bilal Naji Alhasnawi, Basil H. Jasim
Summary: The utilization of renewable energy resources plays a crucial role in the development of smart microgrids. The application of Demand Side Management and Internet of Things technologies can achieve more effective management and utilization of energy. The new DSM system can reduce cost expenditures and enhance energy consumption efficiency through optimal programming of smart devices.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
Godiana Hagile Philipo, Josephine Nakato Kakande, Stefan Krauter
Summary: This paper presents a demand-side management strategy based on load shifting and peak clipping to address the issues of intermittency and demand growth in African rural microgrid systems. Simulation results demonstrate that the proposed algorithm can reduce peak demand and improve flexibility for customers.
Article
Energy & Fuels
A. O. Topa, N. C. Cruz, J. D. Alvarez, J. L. Torres
Summary: This article presents a novel methodology for energy management in microgrids through computational geometry and a genetic algorithm. By representing energy demand and production profiles as polygons, the optimal positions of demand polygons can be calculated to cover the target shape of energy production. This method reduces the consumption of fossil fuels and energy bills by utilizing renewable energy sources in microgrids.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Construction & Building Technology
Yuanyuan Li, Ahmad Mojiri, Gary Rosengarten, Cameron Stanley
Summary: This study proposes a residential hot water, heating and cooling system that combines a heat pump with thermal energy storage to reduce electricity demand and adjust peak loads in the electricity network. By combining a solar system with thermal storage, significant reductions in electricity demand and peak loads can be achieved, improving solar utilization efficiency.
ENERGY AND BUILDINGS
(2021)
Article
Automation & Control Systems
Sourav Basak, Biplab Bhattacharyya
Summary: Demand side management is an economic strategy that shifts elastic demand from peak hours to off-peak hours to reduce overall generation costs. This paper categorizes its work into three phases, including analyzing wind speed to power conversion models, implementing an economic DSM strategy, and optimizing two microgrid distribution systems. The proposed hybrid optimization tool outperforms other methods in terms of central tendencies, statistical analysis, and algorithm execution time. Rating: 8/10.
Article
Energy & Fuels
Sajjad Ali, Imran Khan, Sadaqat Jan, Ghulam Hafeez
Summary: This study introduces an optimization-based energy management framework that adapts consumer power usage patterns using real-time pricing signals and generation from utility and photovoltaic-battery systems. By employing the proposed HGACO algorithm, it effectively reduces electricity cost, carbon emission, and peak load while avoiding rebound peak generation.
Article
Energy & Fuels
Daniel Reich, Giovanna Oriti
Summary: This study introduces a flexible method for determining the capacity and designing microgrids through decoupling component models, energy management logic and objective measurements. Decision makers are enabled to participate in the microgrid design assessment process and gain exposure to a wider range of relevant information.
Review
Energy & Fuels
Navid Rezaei, Abdollah Ahmadi, Mohammadhossein Deihimi
Summary: This paper presents a comprehensive perspective of demand-side management (DSM) from a productivity standpoint. It introduces redefined indices for DSM and discusses modifications to energy efficacy and consumption patterns. The paper also presents a modified demand response (DR) model for implementing DR strategies in smart microgrids.
Review
Green & Sustainable Science & Technology
Daniele Groppi, Antun Pfeifer, Davide Astiaso Garcia, Goran Krajac, Neven Duic
Summary: The European Union has identified the key role of islands in sustainable energy systems, but the integration of renewable energy sources on islands has caused technical issues in the electricity grid. This paper focuses on solutions to improve grid flexibility in dealing with unpredictability of renewable energy sources, particularly in island contexts.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Artificial Intelligence
Mousumi Basu
Summary: This paper suggests a new approach for day-ahead scheduling of microgrid, considering hydrogen storage and plug-in electric vehicles, while comparing the cost effectiveness of demand side management. The results show that demand side management reduces costs, and the use of the QOFCEP technique further reduces costs and provides superior-quality solutions.
Article
Green & Sustainable Science & Technology
Abdulwasa Bakr Barnawi
Summary: This paper proposes a stochastic programming model with generalized normal distribution optimization to improve the operational efficiency, reduce costs and emissions, and enhance the reliability of microgrid systems through demand response and distributed energy resources.
Article
Energy & Fuels
S. Balavignesh, C. Kumar, Soichiro Ueda, Tomonobu Senjyu
Summary: The introduction of advanced technologies has led to a significant increase in automated appliances in the housing sector. Building new administrative structures to meet electrical needs has become crucial for ensuring the safety of residential devices. Demand Side Management (DSM), a key component of micro-grid and Smart Grid technology, is one approach to achieve this. DSM involves carefully controlling requirements while maintaining client trust. Most of the research in DS management focuses on helping households manage their power plans.
Article
Management
Longxi Li
Summary: This paper addresses the coordination dilemma among smart distribution networks, microgrids, and customers with demand response resources by proposing two coordination schemes for resource optimization and supply-demand balance. It also focuses on protecting the privacy of selfish participants while achieving rapid convergence in a distributed manner.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Energy & Fuels
Roberto Bustos, Luis G. Marin, Alex Navas-Fonseca, Lorenzo Reyes-Chamorro, Doris Saez
Summary: This paper proposes an energy management system (EMS) with demand-side management (DSM) capabilities for coordinating multiple microgrids connected to the same main grid. The proposed EMS uses model-based predictive controllers (MPC) and DSM at both the microgrid level and the main-grid level. Simulation results show that the proposed two-level hierarchical MPC-based EMS with DSM outperforms conventional EMS, reducing power supply loss probability, cycling of storage devices, and overall system cost.
Article
Thermodynamics
Mohammad MansourLakouraj, Majid Shahabi, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This paper discusses the optimal operation of a microgrid in the electricity market and the communication between the distribution market operator and microgrid operator. Through effective short-term scheduling and a risk based stochastic model, the optimal operation of the microgrid is achieved, demonstrating the significant role of demand response in reducing operating costs.
Article
Engineering, Electrical & Electronic
Tasneem Assaf, Arafat Al-Dweik, Mohamed S. El Moursi, Hatem Zeineldin
Summary: This paper proposes a bit loading algorithm for multicarrier NOMA systems, aiming to maximize system throughput and satisfy users' QoS constraints. The algorithm has higher complexity but can provide higher spectral efficiency compared to OMA, especially in certain scenarios.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Kannan Thirugnanam, Mohamed Shawky El Moursi, Vinod Khadkikar, Hatem H. Zeineldin, Mohamed Al Hosani
Summary: This paper proposes an energy management strategy for a reconfigurable grid-tied hybrid ac/dc microgrid for commercial building applications. The strategy minimizes building electricity cost and maximizes reliability index by modeling the stochastic behaviors of building load power and renewable-based distributed generators power. Numerical simulations demonstrate the effectiveness of the strategy in reducing cost and increasing reliability.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Aram Kirakosyan, Amir Ameli, Tarek H. M. EL-Fouly, Mohamed Shawky El Moursi, Magdy M. A. Salama, Ehab F. El-Saadany
Summary: This paper presents a novel control approach for the droop-controlled Voltage Source Converters (VSC) in Multi-Terminal High Voltage Direct Current (MTDC) systems. The frequency consensus controller is used to dampen inter-area oscillations and provide enhanced mutual frequency support. A new power-sharing control loop based on the proposed power deviation ratio (PDR) index is developed to distribute active power mismatches between the VSCs. Additionally, an equidistant voltage control (EVC) loop is proposed to regulate the dc system's voltages and increase the safety margin in voltage regulation.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Mohammed A. Saeed, Abdelfattah A. Eladl, Bilal Naji Alhasnawi, Saad Motahhir, Anand Nayyar, Mohd Asif Shah, Bishoy E. Sedhom
Summary: This paper proposes a central energy management system (EMS) based on the coalition method for optimal energy sharing between smart buildings. Game theory is applied to obtain an optimal allocation of surplus energy on deficient buildings, enabling unequal energy distribution based on demand. The fog platform with memory storage is used for handling measured data and executing the EMS program. Testing on a smart city with 10 buildings shows the effectiveness of the proposed EMS.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Ahmed Y. Hatata, Eman. O. Hasan, Mohammed A. Alghassab, Bishoy E. Sedhom
Summary: This paper proposes a coordination method for voltage control devices in the smart distribution network, using optimal settings of D-STATCOMs, OLTC transformers, and distributed generations-based renewable energy resources (RERs). A multi-objective optimization problem is formulated to maintain voltage profile, minimize power losses, and reduce energy wastage. The proposed central controller-based Gorilla Troops optimization algorithm is effective in solving the voltage coordination problem, considering the uncertainties in load demand and power generation from RERs. The proposed method is tested on practical distribution networks and achieves more accurate results compared to other evolutionary methods.
Article
Energy & Fuels
Ahmed M. Al-Orabi, Mohamed G. Osman, Bishoy E. Sedhom
Summary: Global GHG emissions, driven by fuel and industrial emissions, continue to rise. Africa has abundant sustainable energy resources to meet its electricity needs, which is crucial for economic growth and global CO2 reduction goals. Among various energy technologies, green hydrogen is considered a promising medium for storing renewable energy and fuel. The study evaluated different configurations and found that Configuration B in Ras Ghareb had the lowest NPV, COE, and LCOH. Configuration D had the highest CO2 emissions, while Configuration E had the highest CO2 output.
Article
Engineering, Electrical & Electronic
Biyadgie Ayalew, Mohamed Shawky El Moursi, Ehab F. El-Saadany
Summary: This paper proposes a mutual frequency support strategy for ac grids connected by multi-terminal high voltage dc transmission system. The scheme ensures that the aggregated droop gains of the converters in the same ac grid are equal to the designed gains during ac side disturbance. It also introduces a threshold compensation strategy to eliminate the impact of frequency deviation on converters' control. The effectiveness of the proposed scheme is verified through rigorous simulation tests.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Mohammed A. Alghassab, Ahmed M. M. Nour, Ahmed Y. Hatata, Bishoy E. Sedhom
Summary: Voltage violation is a major concern in distribution networks with single-phase distributed photovoltaic sources. This paper proposes a two-level control scheme to suppress overvoltage, undervoltage, and voltage unbalance in the network. The first controller adjusts battery systems in distributed PV sources to alleviate voltage unbalance, while the second controller selects the appropriate taps of the distribution transformer's on-load tap changer. The proposed control scheme effectively mitigates voltage violations and avoids excessive battery currents and extreme tap changes.
IET RENEWABLE POWER GENERATION
(2023)
Article
Multidisciplinary Sciences
Sally R. Osman, Bishoy E. Sedhom, Sahar S. Kaddah
Summary: This paper proposes a novel multi-objective microgrid formation method using a dart game theory optimization algorithm. The formation of the microgrid is achieved by controlling sectionalizing and tie-line switches, and the network graph theory is used to represent the constructed microgrid. Non-linear equations of power flow and loss calculations are adopted in the microgrid formation model. Metrics are utilized to measure the system's flexibility and resilience under extreme disaster events, and the effectiveness of the proposed approach is validated using a modified IEEE 33-bus test system in three case studies considering emergency demand response program and tie-lines.
SCIENTIFIC REPORTS
(2023)
Review
Engineering, Multidisciplinary
Abdelfattah A. Eladl, Magda I. El-Afifi, Magdi M. El-Saadawi, Bishoy E. Sedhom
Summary: Increasing environmental concerns, scarcity of fossil fuel resources, and uncontrolled demand growth have led to upgrading and restructuring existing energy systems. Sustainable multi-energy systems (MESs) will dominate energy production in the future. Integrated management systems must be provided to plan and control the sustainable MESs for optimal operation.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Review
Engineering, Electrical & Electronic
Asmaa M. Aboelezz, Bishoy E. Sedhom, Magdi M. El-Saadawi, Abdelfattah A. Eladl, Pierluigi Siano
Summary: Shipboard microgrids (SBMGs) are gaining popularity in the power industry for their potential in reducing fossil-fuel usage and increasing power production. However, operating SBMGs faces challenges due to operational and environmental constraints. Therefore, intelligent control, management, and protection strategies are crucial to ensure safe operation under complex and uncertain conditions. This comprehensive review paper discusses the classifications, control, management, and protection of SBMGs, as well as recent research trends and contributions in these areas. The paper also highlights the need for further research on the optimization of SBMGs, including efficiency, reliability, and cost-effectiveness, as well as the development of advanced control and protection strategies.
Article
Engineering, Multidisciplinary
Asmaa M. Aboelezz, Magdi M. El-Saadawi, Abdelfattah A. Eladl, Bishoy E. Sedhom
Summary: This article presents an intelligent electronic device (IED) that provides a rapid fault detection and location method for ship power systems (SPSs). The device utilizes the pilot distance protection scheme with IEC 61850 communication network and relies on high-frequency fault transient feature for fault estimation. Experimental results validate the effectiveness of the proposed method in locating different types of faults at various locations.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Review
Green & Sustainable Science & Technology
Muhammed Y. Worku, Mohamed A. Hassan, Luqman S. Maraaba, Md Shafiullah, Mohamed R. Elkadeem, Md Ismail Hossain, Mohamed A. Abido
Summary: To operate photovoltaic systems efficiently, maximum power point tracking (MPPT) techniques are proposed to extract and track the optimal power point under varying environmental conditions. This paper provides an overview of MPPT methods and analyzes their performance in uniform and non-uniform environmental conditions. Hybrid strategies show a fast-tracking speed and high tracking efficiency compared to conventional methods, but their implementation is complex.
Article
Computer Science, Information Systems
Bilal Naji Alhasnawi, Basil H. Jasim, Ali M. Jasim, Vladimir Bures, Arshad Naji Alhasnawi, Raad Z. Homod, Majid Razaq Mohamed Alsemawai, Rabeh Abbassi, Bishoy E. Sedhom
Summary: This study investigates the impact of household appliance energy management on electricity providers in terms of electricity demand and generation. By using the Improved Cockroach Swarm Optimization Algorithm (ICSOA) and the Innovative Apartments Appliance Scheduling (IAAS) framework, the cost of electricity reduction, user comfort maximization, and peak-to-average ratio reduction for apartment appliances are analyzed. The results show that the proposed ICSA algorithm performs better than the BFOA and W/O scheduling cases, providing advantages to both utilities and consumers.
Article
Multidisciplinary Sciences
Abdelfattah A. A. Eladl, Yara A. A. Sultan, Sahar S. S. Kaddah, Mohammad A. A. Abido, Mohamed A. A. Hassan
Summary: High-voltage direct current (HVDC) is used to connect asynchronous networks and interface renewable energy resources with electric grids. Superconducting magnetic energy storage (SMES) is employed to overcome the fluctuation and instability problems in this interconnection, with a model predictive control (MPC) technique proposed to control the SMES connected to the HVDC system. Simulation results show the effectiveness and robustness of the proposed MPC-based SMES connected with VSC-HVDC system under different disturbances.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
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)
