Results 51 to 60 of about 9,679,270 (172)

Transient Stability-Constrained Optimal Power Flow with Power Flow Routers

, 2018
Transient stability is important for configuring an optimal and secure operating point for the power system. The consideration of transient stability can make the optimal power flow with degraded performance.
Chen, T, Lam, AYS, Hill, DJ
core   +1 more source

Optimal power flow method with consideration of uncertainty sources of renewable energy and demand response

Frontiers in Energy Research
Optimal power flow (OPF) calculation methods are important for the power system operation and mainly focus on the deterministic power flow calculation, neglecting the impact of demand response on online security calculation of power systems with ...
Wenjia Zhang, Zhuyi Peng, Quanquan Wang, Wanchun Qi, Yi Ge   +4 more
doaj   +1 more source

Generalized linear‐constrained optimal power flow for distribution networks

IET Generation, Transmission & Distribution, 2023
Optimal power flow (OPF) plays an important role in the secure and economical operation of the distribution network. This paper proposes a novel generalized linear‐constrained optimal power flow (GLOPF) model for both radial and mesh distribution ...
Biao Li, Can Wan, Yunyi Li, Yibao Jiang, Peng Yu   +4 more
doaj   +1 more source

Solving the Optimal Power Flow Problem in Power Systems Using the Mountain Gazelle Algorithm

Engineering Proceedings, 2023
Optimal power flow (OPF) is one of the fundamental mathematical tools currently used to operate power systems within the technical limits of the transmission power system. To determine OPF, a highly non-linear complex problem, it is essential to research
Mohamed Zellagui, Nasreddine Belbachir, Ragab A. El-Sehiemy   +2 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 297-315, April 2026.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

Optimal Power Flow with conventional and non-conventional generating resources in modern grids considering environmental impacts

, 2019
Optimal Power Flow (OPF) is a non-convex and highly constrained optimisation study which is used to find the most economical power export allocation from different generating resources. Policies to produce green electricity have led to the integration of
Afandi, Izzah, Joel Kennedy, Ashish Agalgaonkar, Chris Johnathon, Izzah Afandi, Johnathon, Chris, Agalgaonkar, Ashish, Kennedy, Joel   +7 more
core   +1 more source

A comprehensive review of coordinated operation of transmission‐distribution networks: Frameworks, problems and future trends

Energy Conversion and Economics, Volume 7, Issue 2, Page 69-86, April 2026.
Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic efficiency and flexibility. Transmission‐distribution (T‐D) coordination has emerged as an essential paradigm for facilitating multi ...
Yining Yang, Zechun Hu, Ninghui Yang, Alexis P. Zhao, Chenghong Gu   +4 more
wiley   +1 more source

Advancements and Future Directions in the Application of Machine Learning to AC Optimal Power Flow: A Critical Review

Energies
Optimal power flow (OPF) is a crucial tool in the operation and planning of modern power systems. However, as power system optimization shifts towards larger-scale frameworks, and with the growing integration of distributed generations, the computational
Bozhen Jiang, Qin Wang, Shengyu Wu, Yidi Wang, Gang Lu   +4 more
doaj   +1 more source

An LLM‐Driven Approach for Power Grid Structure Synthesis and Visualization

Energy Conversion and Economics, Volume 7, Issue 2, Page 87-104, April 2026.
Abstract Research in power system is persistently hampered by the scarcity of high‐fidelity, public grid data due to security and privacy constraints. Existing unimodal synthesis methods fail to harmonize physical laws, visual representations and semantic descriptions, obstructing the application of multimodal large language models (LLMs) in the energy
Binye Ni, Xinlei Cai, Zhijun Shen, Zijie Meng, Han Yan, Yulin Song, Jianwei Huang   +6 more
wiley   +1 more source