Article
Computer Science, Information Systems
Vedik Basetti, Shriram S. Rangarajan, Chandan Kumar Shiva, Harish Pulluri, Ritesh Kumar, Randolph E. Collins, Tomonobu Senjyu
Summary: In this paper, a novel meta-heuristic algorithm called QOPO is proposed to solve non-convex single and bi-objective economic and emission load dispatch problems. By simultaneously performing opposite estimate candidate solutions on each candidate solution, QOPO can find better solutions effectively. The results from applying QOPO on different systems and comparing with other techniques show that QOPO has good exploration and exploitation capabilities for determining optimal global solutions.
Article
Engineering, Multidisciplinary
Muhammad Farhan Tabassum, Muhammad Saeed, Nazir Ahmad Chaudhry, Javaid Ali, Muhammad Farman, Sana Akram
Summary: Economic load dispatch problems involve linear equality constraints and non-linear objective functions, posing a challenge for optimization techniques, especially deterministic methods.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Ravindra Manam, Ravindra Sangu, Lakshminarayana Pamidi, Manoz Kumar Reddy Karri
Summary: This paper introduces the RA-123 algorithm to solve the Economic Load Dispatch (ELD) problem by minimizing total generation cost and considering multiple constraints, demonstrating its ability and efficacy in solving the ELD problem.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Tianping Liu, Guojiang Xiong, Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan
Summary: The paper proposes an improved differential evolution (DE) algorithm OMLIDE based on opposition-mutual learning, hybrid mutation strategy, and parameters adaptive mechanism, effectively solving the economic load dispatch (ELD) problem in power systems.
INFORMATION SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Subhamay Basu, Sajjan Kumar, Mousumi Basu
Summary: This article applies the horse herd optimization algorithm to solve convoluted economic dispatch problems. The algorithm simulates the social behavior of horses and has been proven effective in various scenarios. Comparative analysis shows that the proposed algorithm performs well and outperforms other well-known algorithms.
ENGINEERING OPTIMIZATION
(2023)
Article
Engineering, Electrical & Electronic
Kuntal Bhattacharjee, Kathan Shah, Jatin Soni
Summary: Economic Load Dispatch (ELD) is a fundamental requirement in power system operation, and this paper introduces a robust and effective technique called Artificial Eco System Optimization (AEO) Algorithm to solve ELD, which shows three distinct functions of living organisms and works to balance between the exploitation and exploration phases of the technique using producer, consumer, and decomposer operators.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Mohamed H. Hassan, Salah Kamel, Ahmad Eid, Loai Nasrat, Francisco Jurado, Mohamed F. Elnaggar
Summary: This article proposes a new effective technique called ESCSDO algorithm, which utilizes eagle strategy and chaotic maps to solve the economic load dispatch problem in power systems. The algorithm improves population diversity, balance between local and global search, and premature convergence. Through testing and comparison, the algorithm demonstrates efficient performance and accuracy in solving economic load dispatch problems.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Zhongbo Hu, Canyun Dai, Qinghua Su
Summary: In this paper, an adaptive backtracking search optimization algorithm (DABSA) is proposed for solving the dynamic economic dispatch problem with valve-point effect (DED_vpe). DABSA utilizes a dual-learning strategy and an adaptive parameter control mechanism to improve solution accuracy and overcome premature convergence. Experimental results demonstrate that DABSA is competitive in terms of low fuel costs and high robustness.
Article
Thermodynamics
Ijaz Ahmed, Muhammad Rehan, Abdul Basit, Saddam Hussain Malik, Um-E-Habiba Alvi, Keum-Shik Hong
Summary: The purpose of this research is to investigate the multi-area economic emission dispatch problem (MEEDP) in the presence of renewable energy resources (RES) to improve the energy sustainability and climatic benefits. MEEDP is a multi-objective problem in smart grids, with the purpose of minimizing the operating costs and emissions of thermal units. RES have made a substantial contribution to greenhouse gases emission control and environmental sustainability. The integration of RES into conventional grids, which is becoming increasingly prevalent, spread the research scope of MEEDP and needs to be re-examined.
Article
Thermodynamics
Wenqiang Yang, Xinxin Zhu, Qinge Xiao, Zhile Yang
Summary: This paper proposes an improved version of the multi-objective marine predator algorithm (IMOMPA) for solving the optimization of multi-objective dynamic economic-grid fluctuation dispatch (MODEGD). The IMOMPA algorithm improves population diversity, convergence speed, and global search ability. Numerical experiments on benchmark functions and generation units demonstrate the superiority of the IMOMPA algorithm, and plug-in electric vehicles (PEVs) connected to the grid (V2G) can help mitigate grid fluctuations.
Article
Energy & Fuels
Pradosh Kumar Adhvaryyu, Shreya Adhvaryyu
Summary: Cogeneration is an efficient method for reducing emissions and improving energy efficiency. The study considers prohibited operating zones and valve point effect, proposing a method to maintain power system stability by optimizing production costs and transmission losses using a Krill Herd algorithm. The effectiveness of the algorithm is demonstrated through results from two test systems.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS
(2021)
Article
Thermodynamics
Canyun Dai, Zhongbo Hu, Qinghua Su
Summary: This paper proposes an adaptive hybrid backtracking search optimization algorithm (AHBSA) for solving dynamic economic dispatch with valve-point effects (DED_vpe). By designing a suitable coupling structure and an improved mutation operator, AHBSA improves the solution accuracy while ensuring algorithm robustness, and achieves good performance in experiments.
Article
Mathematical & Computational Biology
Shanshan Pan, Jinbao Jian, Linfeng Yang
Summary: This paper proposes a mixed integer linear programming approach to solve the dynamic economic dispatch problem and demonstrates its effectiveness and feasibility through experiments.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Mohamed Ebeed, Mohamed F. Elnaggar
Summary: The aim of the optimization economic load dispatch (ELD) problem is to minimize the cost of thermal power units while satisfying operational constraints. The proposed enhanced Beluga whale optimization (EBWO) algorithm tackles the challenges of optimizing large-scale systems by using a cyclone foraging motion strategy and a quasi-oppositional based learning (QOBL) strategy to enhance exploitation and improve population diversity. Simulation results demonstrate the competitiveness of the EBWO algorithm in obtaining low fuel costs.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Bishwajit Dey, Fausto Pedro Garcia Marquez, Aniruddha Bhattacharya
Summary: This research uses a hybrid intelligence method to reduce the total cost of microgrid systems and incorporates demand-side management to optimize the demand model and adjust the timing of elastic loads, resulting in energy cost savings.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Engineering, Electrical & Electronic
Soumen Biswas, Provas Kumar Roy, Kalyan Chatterjee
Summary: This article introduces the grasshopper optimization algorithm (GOA) for solving the automatic generation control (AGC) problem in hybrid power systems. The study finds that the GOA-optimized 3DOF-PID controller outperforms conventional techniques and the effectiveness of different FACTS devices is compared.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Rana Pratap Mukherjee, Provas Kumar Roy, Dinesh Kumar Pradhan
Summary: This paper proposes an improved version of the sine cosine algorithm (SCA) called chaotic oppositional SCA (COSCA) for training feed-forward neural networks (FNNs). The experimental results demonstrate that the COSCA technique can improve the performance compared to other optimization algorithms.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Soumen Biswas, Provas Kumar Roy, Kalyan Chatterjee
Summary: Renewable energy will play a significant role in the power industry in the coming decades, but its control strategy may face challenges. This article proposes a new control strategy, the NFZ-PID controller, for a thermal-solar-wind system under deregulated conditions, and validates its robustness through experiments.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Kingsuk Majumdar, Provas Kumar Roy, Subrata Banerjee
Summary: This article discusses the calculation and enhancement of available transfer capability (ATC) of different test systems with the implementation of various optimization algorithms and the concept of opposition-based learning. The proposed oppositional SHO (OSHO) algorithm shows significant improvement in convergence performance and addressing the limitations of the traditional SHO algorithm.
IETE JOURNAL OF RESEARCH
(2023)
Article
Automation & Control Systems
Soumen Biswas, Provas Kumar Roy, Kalyan Chatterjee
Summary: In this article, the authors propose linear matrix inequalities techniques to develop a margin of allowable delay for delay dependent stable hybrid system. The effectiveness of the proposed chaotic atomic search optimization algorithm with PID controller is compared to other evolutionary algorithms. Furthermore, energy storage devices are used to achieve better dynamic response within specified delay margin.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Automation & Control Systems
Sunanda Hazra, Provas Kumar Roy
Summary: This article introduces a multiobjective economic emission dispatch model for power scheduling arrangement that incorporates photovoltaic, nonconvex thermal, and wind units. To overcome the limitations of existing algorithms in handling nonlinear hydro-thermal scheduling problems involving solar and wind energy, a robust algorithm called moth flame optimization is proposed. The effectiveness of this algorithm in reducing power generation cost and emission is demonstrated through simulations.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Automation & Control Systems
Chandan Paul, Provas Kumar Roy, Vivekananda Mukherjee
Summary: This article introduces a new method to utilize renewable energy sources (such as wind and solar energy) for combined heat and power economic dispatch problems, adopting a quasi-oppositional-based whale optimization algorithm (QOWOA) to cope with the non-linearities of the system, and comparing it with other optimization techniques to verify its superiority.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Engineering, Electrical & Electronic
Dhiman Banerjee, Provas Kumar Roy, Gautam Kumar Panda
Summary: An optimal power flow model with highly volatile energy sources is proposed in this paper, and a interpretable probabilistic approach is used for power generation estimation. The chaotic simplex MSA algorithm is developed to solve the uncertainty imposed OPF model, and its performance is evaluated through extensive simulations.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2023)
Article
Automation & Control Systems
Dipayan Guha, Provas Kumar Roy, Subrata Banerjee
Summary: This work presents the design and analysis of an adaptive fractional-order sliding-mode disturbance observer (FO-SM-DOB)-aided controller for frequency regulation of a hybrid wind-diesel based power system. The controller estimates unknown/uncertain system disturbances and enhances system dynamics with minimal chattering. The proposed resilient controller outperforms other controllers in terms of disturbance rejection, chattering reduction, and robustness against unknown system disturbances.
Article
Engineering, Electrical & Electronic
Souvik Dey, Provas Kumar Roy, Sudipta Chakraborty
Summary: This paper presents the implementation of a reliable, steady and wideband fractional order digital integrator (FODI) using the mayfly optimization algorithm (MOA), and compares its performance with other optimization algorithms. The results show that MOA outperforms other algorithms in terms of convergence behavior and magnitude error. MATLAB simulation results confirm the efficiency and stability of the proposed FODI.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Electrical & Electronic
Chandan Paul, Provas Kumar Roy, V. Mukherjee
Summary: In multi-objective hydro-thermal scheduling, the combination of wind and solar power with hydro-thermal units can effectively reduce generation costs and emissions. The chaotic oppositional WOA technique combines chaotic-oppositional learning with WOA to enhance its performance and convergence speed. The application of COWOA method shows superior results in terms of minimum cost, least emission, and least convergence time.
ELECTRIC POWER COMPONENTS AND SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Koustav Dasgupta, Provas Kumar Roy, Vivekananda Mukherjee
Summary: In this study, a new model called complicated constrained hybrid energy integrated DEED problem was formulated by integrating hybrid sources of energy with the traditional dynamic economic emission dispatch (DEED) problem. The use of solar and wind energy in this model has been found to generate less polluted power compared to the traditional DEED problem. The convergence and diversity of the novel sine cosine algorithm (SCA) were enhanced using the quasi-opposition learning (QOL) approach and chaotic dynamics. The presented solution for the dynamic thermal-wind-solar EED problem was effectively validated by solving the cost, emission, and combined cost-emission aspects using QOL-based chaotic SCA. The proposed modified SCA demonstrated its robustness through comparison with results obtained from SCA and other recently published algorithms.
IETE JOURNAL OF RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Indrajit Dey, Provas Kumar Roy
Summary: This article introduces a newly suggested meta-heuristic arithmetic optimization algorithm (AOA) for reorganizing the distribution network with the distribution of distributed generators (DGs). The AOA is designed to discover the solution space more efficiently using the scattering behavior of arithmetic operators. The effectiveness of the AOA is demonstrated on 33-bus and 69-bus radial distribution networks (RDNs) with network reconfiguration (NR) and DG installation.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2023)
Article
Engineering, Electrical & Electronic
Dhiman Banerjee, Provas Kumar Roy, Goutam Kumar Panda
Summary: In power system engineering, the integration of conventional thermal units (CTUs) and alternative energy sources (AESs) has become a recent trend for cost-effective and environmentally friendly operation. This study focuses on developing an optimal power flow (OPF) problem that integrates CTUs with three intermittent energy sources (wind energy, photovoltaic energy, and electric vehicle as a vehicle to grid source). The study proposes a probabilistic strategy to deal with the uncertainties of these energy sources and optimally places a single static series compensator (SSSC) and a single unified power flow controller (UPFC) to ensure stable operational conditions and address instability and generation uncertainty. The proposed ameliorated moth swarm algorithm (AMSA) is proposed as a solution for the complex OPF model. The performance of the proposed technique is verified using standard benchmark functions and tested on various power networks, with the results showing its superiority over other methods in terms of quality and accuracy.
IETE JOURNAL OF RESEARCH
(2023)
Article
Mathematics, Interdisciplinary Applications
Soumen Biswas, Shibendu Mahata, Provas Kumar Roy, Kalyan Chatterjee
Summary: Renewable energy is a suitable alternative for uninterrupted power supply compared to conventional sources. The properties of solar and wind generation continuously change with climatic circumstances, posing difficulties for engineers when substituting sustainable power with conventional electricity. By changing the fractional order range, the delay margin can be increased to broaden the time-delayed system's stability region.
FRACTAL AND FRACTIONAL
(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)
