Results 41 to 50 of about 9,679,270 (172)

Optimal power flow of MT‐HVDC system connected large offshore wind farms using mixed‐integer semi‐definite programming approach

IET Generation, Transmission & Distribution, 2021
Typically offshore wind farms are connected to the onshore AC grid networks using voltage source converter based MT‐HVDC networks. This article aims to formulating optimal power flow (OPF) problem of MT‐HVDC system connected large offshore wind farms ...
Nikhil Pathak, Zechun Hu
doaj   +1 more source

Renewable‐Based Electric Vehicle Charging and Grid Support Through Bi‐Level Optimization

Energy Storage, Volume 8, Issue 5, August 2026.
ABSTRACT This study proposes a bi‐level optimization framework for coordinated electric vehicle charging and discharging in renewable‐based distribution networks. The upper‐level problem minimizes feeder losses from the Distribution Grid Operator perspective, while the lower‐level problem minimizes charging costs for electric vehicle owners under time ...
Wei Peng, Omid Karimi Sadaghiani, Ilknur Tunc, Taner Altunok, Sahba Tabarraei   +4 more
wiley   +1 more source

Nonconvex and nonsmooth optimization for robust control and power systems [PDF]

, 2018
University of Technology Sydney. Faculty of Engineering and Information Technology.There is considerable interest in structured H∞ control in linear parameter varying (LPV) systems and Tagaki-Sugeno (T-S) fuzzy systems.
Shi, Ye
core  

Quadratically Constrained Quadratic Programming Formulation of Contingency Constrained Optimal Power Flow with Photovoltaic Generation

Energies, 2020
Contingency Constrained Optimal Power Flow (CCOPF) differs from traditional Optimal Power Flow (OPF) because its generation dispatch is planned to work with state variables between constraint limits, considering a specific contingency.
Luis M. Leon, Arturo S. Bretas, Sergio Rivera   +2 more
doaj   +1 more source

Optimal Control of Mobile Energy Storage via Knowledge‐Guided Deep Reinforcement Learning

Battery Energy, Volume 5, Issue 4, July 2026.
This research proposes a Knowledge‐Guided DRL framework (KA‐DDPG) for mobile energy storage. By integrating offline optimization as expert guidance to manage hybrid action spaces and environmental uncertainties, our method achieves significantly higher arbitrage profits and superior operational stability compared to standard reinforcement learning and ...
Xinlei Cai, Zijie Meng, Qian Guo, Lizhou Jiang, Zhijun Shen, Yuheng Cheng, Xuanang Gui, Junhua Zhao   +7 more
wiley   +1 more source

A Novel Optimization Algorithm Inspired by Egyptian Stray Dogs for Solving Multi-Objective Optimal Power Flow Problems

Applied System Innovation
One of the most important issues that can significantly affect the electric power network’s ability to operate sustainably is the optimal power flow (OPF) problem.
Mohamed H. ElMessmary, Hatem Y. Diab, Mahmoud Abdelsalam, Mona F. Moussa   +3 more
doaj   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, Volume 14, Issue 7, Page 3346-3387, July 2026.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

Marine predators algorithm for solving single-objective optimal power flow.

PLoS ONE, 2021
This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm (MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the widespread foraging strategy called the Levy walk and Brownian ...
Mohammad Zohrul Islam, Mohammad Lutfi Othman, Noor Izzri Abdul Wahab, Veerapandiyan Veerasamy, Saifur Rahman Opu, Abinaya Inbamani, Vishalakshi Annamalai   +6 more
doaj   +1 more source

Smart Charging With Hourly Pricing as Policy Intervention: Reducing Costs and Grid Congestion for Promoting Electric Vehicles in Developing Countries

Energy Science &Engineering, Volume 14, Issue 7, Page 3472-3486, July 2026.
Smart charging with hourly pricing optimizes electric vehicle (EV) charging in developing countries, reducing EV owner costs by 30% and easing grid congestion. Using an agent‐based energy management system, the study shows dynamic pricing effectively shifts charging to off‐peak hours, enhancing grid stability and supporting sustainable EV adoption in ...
Maha Iftikhar, Kashif Imran, Farah Ul Ain, Abdul Kashif Janjua, Rimsha Razaq, Sohail Khan, Arqam Ilyas, Shahbaz Ul Haq, Muhammad Akmal   +8 more
wiley   +1 more source

Enhancing Offshore Wind Utilization by Embedding Neural Surrogates of Total Transfer Capability in Security‐Constrained Dispatch

Engineering Reports, Volume 8, Issue 4, April 2026.
Graphical abstract of the proposed decision‐aware Neural TTC framework. AC‐secure TTC labels are first generated from spatio‐temporal operating conditions using CPF/RPF and N‐1 screening with thermal, voltage, and transient security checks. A compact ReLU neural surrogate then maps exogenous conditions and endogenous dispatch decisions to interface TTC,
Jianjun Hong, Jianfeng Zheng, Junfei Wu, Huan Yao, Wenjie Mao, Chao Zhang, Yuhong Zhu, Yongzhi Zhou   +7 more
wiley   +1 more source