An Improved Marine Predators Algorithm for Optimal Reactive Power Dispatch With Load and Wind-Solar Power Uncertainties-Reference-Cited by-同舟云学术

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An Improved Marine Predators Algorithm for Optimal Reactive Power Dispatch With Load and Wind-Solar Power Uncertainties

Published:2022 Issue: Volume:10 Page:126664-126673
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Jian¹^ORCID,Li Liying¹^ORCID,Yu Jiaxin²,Li Zhiwu³

Affiliation:

1. School of Science, University of Science and Technology Liaoning, Anshan, Liaoning, China

2. Hitachi Building Technology (Guangzhou) Company Ltd., Guangzhou, China

3. Institute of Systems Engineering, Macau University of Science and Technology, Taipa, Macau, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province, China

Foundation of Liaoning Province Education Administration, China

Guangzhou Innovation and Entrepreneurship Leading Team Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09963976.pdf?arnumber=9963976

Reference39 articles.

1. Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique;mei;Appl Soft Comput,2017

2. Solution of Optimal Reactive Power Dispatch by an Opposition-Based Gravitational Search Algorithm

3. Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm

4. Multi-objective Optimal Reactive Power Dispatch Considering Uncertainties in the Wind Integrated Power Systems

5. Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach

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1. Optimal reactive power dispatch with renewable energy sources using hybrid whale and sine cosine optimization algorithm;Engineering Research Express;2024-08-15

2. Expert knowledge data-driven based actor–critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy;International Journal of Electrical Power & Energy Systems;2024-08

3. Collaborative Control of Reactive Power and Voltage in a Coupled System Considering the Available Reactive Power Margin;Sustainability;2024-03-22

4. Solution to the deterministic and stochastic Optimal Reactive Power Dispatch by integration of solar, wind-hydro powers using Modified Artificial Hummingbird Algorithm;Energy Reports;2023-12

5. A Quantile Intervals Prediction Based Power-voltage Control Method with Storage Regulation;2023 8th International Conference on Power and Renewable Energy (ICPRE);2023-09-22

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