Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Thermodynamics
Rizk M. Rizk-Allah, Aboul Ella Hassanien, Vaclav Snasel
Summary: This paper proposes a novel hybrid approach, named CSMO, for solving the combined heat and power economic dispatch (CHPED) problem. The CSMO algorithm combines the chameleon swarm algorithm (CSA) and mayfly optimization (MO). The results show that the CSMO algorithm outperforms other optimizers in terms of convergence rate and cost reduction.
Article
Thermodynamics
Abdullah M. Shaheen, Ahmed R. Ginidi, Ragab A. El-Sehiemy, Ehab E. Elattar
Summary: The paper presents a manta ray foraging MRF optimizer for solving the Economic Dispatch in Cogeneration Systems problem, considering valve point impacts and wind power. The MRF optimizer is designed with adaptive penalty functions to acquire the most feasible and best operational points. By meeting equality constraints, the power and heat loading are completely achieved while fulfilling the cogeneration units' dynamic operating limits.
Article
Computer Science, Artificial Intelligence
Bimal Kumar Dora, Abhishek Rajan, Sourav Mallick, Sudip Halder
Summary: This paper introduces an enhanced Butterfly Optimization Algorithm (EBOA) to solve the Optimal Reactive Power Dispatch (ORPD) problem. The algorithm is evaluated using various test systems and benchmark problems, and the results demonstrate its efficiency and robustness in reducing power loss, voltage deviation, and improving voltage stability.
APPLIED SOFT COMPUTING
(2023)
Article
Automation & Control Systems
Peng Li, Jiangping Hu, Li Qiu, Yiyi Zhao, Bijoy Kumar Ghosh
Summary: This study investigates the economic dispatch problem of a power-water network and develops a continuous-time distributed algorithm. A conceptual model is proposed to describe the logical relationships within the network, and a constrained nonlinear programming model is developed to solve the economic dispatch problem. A novel distributed algorithm is also proposed, which ensures plug-and-play operation and preserves the privacy information of the network's plants.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2022)
Article
Mathematics
Alaa A. K. Ismaeel, Essam H. Houssein, Doaa Sami Khafaga, Eman Abdullah Aldakheel, Ahmed S. AbdElrazek, Mokhtar Said
Summary: The osprey optimization algorithm (OOA) is a new metaheuristic inspired by the strategy of hunting fish in seas. In this study, OOA is applied to solve the economic load dispatch (ELD) problem in a power system. The performance of OOA is compared against several techniques and it is found to be superior in solving the ELD and combined emission and economic dispatch (CEED) problems compared to other algorithms.
Article
Chemistry, Physical
Ansu Alex, Raffaele Petrone, Boubekeur Tala-Ighil, Dimitar Bozalakov, Lieven Vandevelde, Hamid Gualous
Summary: This study investigates the techno-enviro-economic aspects of hydrogen production using polymer electrolyte membrane electrolysers powered by a hybrid grid-connected tidal-wind energy system. The study includes system modeling, analysis of energy management strategies for hydrogen production, and optimization approaches to maximize operating profit and carbon emission savings. The proposed model can be applied to hydrogen production analysis in different contexts.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Computer Science, Information Systems
Noor Habib Khan, Yong Wang, De Tian, Raheela Jamal, Salah Kamel, Mohamed Ebeed
Summary: The FACTS technology plays a crucial role in enhancing system performance, with SSSC being an important member that improves system efficiency by controlling active and reactive power flow in transmission lines. Through the development of efficient optimization algorithms and modifications to the SSSA algorithm, this study successfully addresses the ORPD problem and identifies optimal SSSC configurations, ultimately achieving the goals of enhancing power system stability and reducing losses.
Article
Mathematics
Shahenda Sarhan, Abdullah Shaheen, Ragab El-Sehiemy, Mona Gafar
Summary: This paper proposes an intelligent augmented social network search (ASNS) algorithm for optimal reactive power dispatch, aiming to reduce active power losses, minimize voltage variations, and improve voltage stability. The ASNS algorithm enhances search capability and avoids getting locked in a locally optimal solution, leading to improved results compared to the social network search (SNS) algorithm.
Article
Mathematics
Mokhtar Said, Ali M. El-Rifaie, Mohamed A. Tolba, Essam H. Houssein, Sanchari Deb
Summary: Economic Load Dispatch is a critical issue in power engineering, aiming to minimize production costs and reduce emissions. The Chameleon Swarm Algorithm showed promising performance in addressing this problem.
Article
Computer Science, Artificial Intelligence
Xu Chen, Kangji Li
Summary: This paper introduces a novel optimization algorithm, CIBPSO, for solving the multi-fuel combined heat and power economic dispatch problem. By incorporating the concept of collective intelligence and introducing two new collective information-based strategies, CIBPSO improves the diversity, convergence efficiency, and accuracy of the algorithm. Comparative evaluations with six other algorithms demonstrate the superior performance of CIBPSO.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Ziwei Dong, Shuai Mao, Matjaz Perc, Wei Du, Yang Tang
Summary: With the rapid development of distributed energy resources, communication resources are becoming more and more important for implementing distributed algorithms. In order to reduce the communication burden required to solve the economic dispatch problem, this study considers the amount of information exchanged per broadcast, the broadcast frequency per iteration, and the number of iterations needed to achieve a certain accuracy. The proposed primal-dual based algorithm, integrated with a discrete dynamic event-triggered scheme, shows significant advantages in all three aspects. The algorithm is proven to converge to the optimal point at a linear convergence rate for suitable operating parameters and for cost functions that are strongly convex and smooth. Simulation experiments confirm the effectiveness and advantages of the approach.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Burcin Ozkaya, Serhat Duman, Hamdi Tolga Kahraman, Ugur Guvenc
Summary: The combined heat and power economic dispatch (CHPED) problem is a widely researched optimization problem in modern power systems. This paper proposes a novel AFDB-ARO algorithm to solve CHPED problems, which outperforms the base ARO algorithm in experimental studies. The algorithm achieved the best optimal solution in several cases and demonstrated superior performance compared to the literature.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Yasir Muhammad, Muhammad Asif Zahoor Raja, Muhammad Altaf, Farman Ullah, Naveed Ishtiaq Chaudhary, Chi-Min Shu
Summary: This paper presents a new computing paradigm based on fractional order comprehensive learning particle swarm optimization for solving the reactive power dispatch problems in power systems. The method is tested and verified to be stable, effective, and reliable.
APPLIED SOFT COMPUTING
(2022)
Article
Engineering, Multidisciplinary
Hamza Yapici
Summary: The study proposes a modified pathfinder algorithm to minimize power losses in solving the ORPD problem. Numerical analyses and statistical tests show that the modified algorithm achieved competitive results and ranking, making it a superior algorithm for solving the ORPD problem.
ENGINEERING OPTIMIZATION
(2021)
Article
Green & Sustainable Science & Technology
Andrea Camila dos Santos Martins, Antonio Roberto Balbo, Dylan Jones, Leonardo Nepomuceno, Edilaine Martins Soler, Edmea Cassia Baptista
Article
Agriculture, Multidisciplinary
Sonia Cristina Poltroniere, Angelo Aliano Filho, Amanda Suellen Caversan, Antonio Roberto Balbo, Helenice de Oliveira Florentino
Summary: The main products obtained from sugarcane for the global market are sugar, ethanol, and energy. With limited space for expansion in sugarcane cultivation in Brazil, a new type of cane called energy-cane with higher fiber content has been developed. Meeting the demand for sugar, ethanol, and energy products requires planting both energy-cane and sugarcane, posing challenges in planning and decision-making in the energy-sugar sector.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Computer Science, Interdisciplinary Applications
Ricardo B. N. M. Pinheiro, Antonio R. Balbo, Tiago G. Cabana, Leonardo Nepomuceno
Summary: The Nonsmooth and Discontinuous Optimal Power Flow (ND-OPF) problem is a challenging issue in power system optimization. This paper proposes a new approach to solve the ND-OPF problem by integrating piecewise polynomial interpolation (PPI) function for handling discontinuities related to prohibited operating zones (POZ) constraints and equivalent models for handling nonsmoothness. The proposed approach, called Equivalent Smooth and Continuous OPF (ESC-OPF), can be solved by strictly gradient-based methods. Numerical results show that the proposed approach is capable of solving large-scale ND-OPF problems with acceptable computation times.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Engineering, Aerospace
Leonardo Murilo Nepomuceno, Roberto Gil Annes da Silva, Alejandro Sobron, Petter Krus, David Lundstrom
Summary: This study investigates the estimation of basic aerodynamic characteristics of a complex configuration using low-cost equipment and prototyping methods. The results highlight the limitations of commonly used aerodynamic methods and demonstrate the importance of physical models in reducing uncertainty.
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jessica A. Delgado, Edmea C. Baptista, Antonio R. Balbo, Edilaine M. Soler, Diego N. Silva, Andre C. P. Martins, Leonardo Nepomuceno
Summary: The Optimal Reactive Power Flow (ORPF) problem is an important computational tool in power system planning and operation. The mixed-discrete version of the problem (DORPF) aims to minimize transmission losses while meeting power demand and operational limits. Existing methods for solving the DORPF problem have their limitations, such as poor matrix-conditioning and lack of infeasibility detection. This paper proposes an integration of optimization approaches that address all these issues, including the use of a primal-dual penalty-interior-point method and a sinusoidal penalty function method. Numerical tests confirm the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Economics
Rodolfo Rodrigues Barrionuevo Silva, Andre Christovao Pio Martins, Edilaine Martins Soler, Edmea Cassia Baptista, Antonio Roberto Balbo, Leonardo Nepomuceno
Summary: This paper discusses the energy procurement problem in hydro-dominated markets and proposes a Price Scenario Generation model to estimate future energy prices. The estimated prices are then used in the Energy Procurement Model for Hydrothermal Systems to calculate optimal procurement decisions. The study reveals correlations between hydro and economic variables.
Article
Engineering, Electrical & Electronic
Rafael R. Souza, Antonio R. Balbo, Andre C. P. Martins, Edilaine M. Soler, Edilaine M. Baptista, Diego N. Sousa, Leonardo Nepomuceno
Summary: This paper proposes a solution approach for Stochastic Optimal Power Flow (SOPF) models under uncertainty in wind power generation. By obtaining exact analytical expressions for the derivatives of wind power costs and handling the non-differentiability of thermal costs, the equivalent SOPF model is reformulated as a differentiable nonlinear programming problem. A modified log-barrier primal-dual interior/exterior-point method is proposed to solve the equivalent SOPF model, which outperforms meta-heuristic approaches in terms of computation times and optimality. The proposed method is applied to various power systems and shows significant improvements.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Tiago Gomes Cabana, Edmea Cessia Baptista, Edilaine Martins Soler, Andre Christovao Pio Martins, Antonio Roberto Balbo, Leonardo Nepomuceno
Summary: The Residual Demand Curve (RDC) has traditionally been obtained by the difference between the inverse functions of aggregated demand and supply, but it cannot directly represent constraints related to complex-bid markets. This paper interprets the traditional RDC as an optimization model and proposes Optimization-Based Residual Demand (OBRD) models that can represent complex-bid markets. We show that under certain conditions, the RDC obtained by the OBRD model is equivalent to that provided by traditional methods. Results demonstrate that the RDCs obtained by the OBRD model are significantly more accurate for complex-bid markets.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Matheus Pereira Vieira, Andre Christovao Pio Martins, Edilaine Martins Soler, Antonio Roberto Balbo, Leonardo Nepomuceno
Summary: This paper proposes a novel robust market clearing procedures (MCP) model to account for the uncertainties associated with clean and renewable energy sources. By optimizing energy and reserves, the model improves real-time security and reliability, with only slight impacts on social welfare function, even in high levels of wind power penetration.
Proceedings Paper
Engineering, Industrial
Ricardo B. N. M. Pinheiro, Tiago G. Cabana, Antonio R. Balbo, Leonardo Nepomuceno
Summary: The PPI approach proposed in this paper offers a new way to handle FOZ constraints in Economic Dispatch with Forbidden Operation Zones (ED-FOZ) problems, allowing for the application of efficient gradient-based optimization methods. Numerical results show that this method efficiently solves ED-FOZ problems with acceptable computation times involving a large number of generating units and FOZ.
2021 14TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON)
(2021)
Article
Computer Science, Information Systems
Marina Valenca Alencar, Edilaine Martins Soler, Leonardo Nepomuceno, Antonio Roberto Balbo, Edmea Cassia Baptista
IEEE LATIN AMERICA TRANSACTIONS
(2020)
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)