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A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems [PDF]
Scientific ReportsThe reliable operation of power systems while integrating renewable energy systems depends on Optimal Power Flow (OPF). Power systems meet the operational demands by efficiently managing the OPF.
G. Gurumoorthi +3 more
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EWOA-OPF: Effective Whale Optimization Algorithm to Solve Optimal Power Flow Problem [PDF]
Electronics, 2021 The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power system by considering the desired objective functions subject to system constraints. Metaheuristic algorithms have been proven to be well-suited for solving complex optimization problems.
Mohammad H. Nadimi-Shahraki +5 more
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Pp OPF -Pandapower Implementation of Three-phase Optimal Power Flow Model
2023 IEEE Power & Energy Society General Meeting (PESGM), 2023 Challenges in the planning and operation of distribution networks caused by the integration of distributed energy resources (DERs) create the need for the development of tools that can be easily used by system operators, industry, and the research society but are also easily upgraded with new functionalities.
Antić, Tomislav +2 more
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ESMA-OPF: Enhanced Slime Mould Algorithm for Solving Optimal Power Flow Problem [PDF]
Sustainability, 2022 In this work, an enhanced slime mould algorithm (ESMA) based on neighborhood dimension learning (NDL) search strategy is proposed for solving the optimal power flow (OPF) problem. Before using the proposed ESMA for solving the OPF problem, its validity is verified by an experiment using 23 benchmark functions and compared with the original SMA, and ...
Mohamed Farhat +4 more
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GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
Software Impacts, 2023 The Gaussian Process (GP) based Chance-Constrained Optimal Power Flow (CC-OPF) is an open-source Python code developed for solving economic dispatch (ED) problem in modern power grids. In recent years, integrating a significant amount of renewables into a power grid causes high fluctuations and thus brings a lot of uncertainty to power grid operations.
Mile Mitrovic +7 more
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Optimal Power Flow in Distribution Network: A Review on Problem Formulation and Optimization Methods
Energies, 2023 Distributed generators (DGs) have a high penetration rate in distribution networks (DNs). Understanding their impact on a DN is essential for achieving optimal power flow (OPF).
Cheng Yang +7 more
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Renewable Energy Capacity Assessment in Power System Based on Linearized OPF
Zhongguo dianli, 2022 With the deepening adjustment of energy structure, the penetration of renewable energy in power system is gradually increased. The fluctuation and randomness of renewable energy output have brought new challenges to the power system operation.
Yu DONG, Cun DONG, Ruoying YU, Jie DING
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Security Constrained Reactive Power Scheduling Considering N-1 Contingency of Transmission Lines [PDF]
Journal of Operation and Automation in Power Engineering, 2022 This paper presents a methodology for reactive power scheduling (RPS) of power system in the form of AC optimal power flow (AC-OPF) problem. The objective function is minimization of system total active power losses. The OPF optimally determines reactive
E. Limouzadeh, A. Rabiee
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IEEE Access, 2022 Preventive control actions for enhancing the transient stability of power system ensures the system stability under a given contingency. Generation rescheduling through stability constrained optimal power flow (TSC-OPF) is one of the widely adopted ...
Sreenadh Batchu, Kiran Teeparthi
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Energies, 2023 Since the power grid grows and the necessity for higher system efficiency is due to the increasing number of renewable energy penetrations, power system operators need a fast and efficient method of operating the power system. One of the main problems in
Muhammad Bachtiar Nappu +2 more
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