Pareto Front-Based Multiobjective Optimization of Distributed Generation Considering the Effect of Voltage-Dependent Nonlinear Load Models-Reference-Cited by-同舟云学术

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Pareto Front-Based Multiobjective Optimization of Distributed Generation Considering the Effect of Voltage-Dependent Nonlinear Load Models

Published:2023 Issue: Volume:11 Page:12195-12217
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Aamir¹^ORCID,Abbas Ghulam²^ORCID,Keerio Muhammad Usman¹,Mirsaeidi Sohrab³^ORCID,Alshahr Shahr⁴,Alshahir Ahmed⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, Quaid-e-Awam University of Engineering, Science and Technology (QUEST) Nawabshah, Nawabshah, Pakistan

2. School of Electrical Engineering, Southeast University, Nanjing, China

3. School of Electrical Engineering, Beijing Jiaotong University, Beijing, China

4. Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka, Saudi Arabia

Funder

National Natural Science Foundation of China

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/ielx7/6287639/10005208/10036420.pdf?arnumber=10036420

Reference56 articles.

1. Planning for Distribution System with Grey Wolf Optimization Method

2. Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques

3. Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm

4. A Real-Time Optimization of Reactive Power for An Intelligent System Using Genetic Algorithm

5. An Enhanced Artificial Ecosystem-Based Optimization for Optimal Allocation of Multiple Distributed Generations

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2. Optimal scheduling and management of grid‐connected distributed resources using improved decomposition‐based many‐objective evolutionary algorithm;IET Generation, Transmission & Distribution;2024-07-16

3. Power flow optimization in distribution networks: Estimating optimal distribution generators through pseudo-inverse analysis;Energy Reports;2024-06

4. The role of battery energy storage in mitigating demand fluctuations of distribution networks caused by uncertain weather conditions using multi-objective Bonobo Optimizer;Neural Computing and Applications;2024-04-19

5. A novel solution to optimal power flow problems using composite differential evolution integrating effective constrained handling techniques;Scientific Reports;2024-03-14

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