Fuzzy Multi-Objective Optimization Considering the Uncertainty of Distributed Generation-Reference-Cited by-同舟云学术

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Fuzzy Multi-Objective Optimization Considering the Uncertainty of Distributed Generation

Published:2023-12-15 Issue: Volume: Page:679-685
ISSN:
Container-title:2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2)
language:
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Author:

An Yi¹,Zhan Luxin²,Gao Jing³,Qi Qinya¹,Zhao Long⁴

Affiliation:

1. State Grid Jiangxi Electric Power Co., Ltd. Electric Power Research Institute,Nanchang,China

2. School of Electrical and Information Engineering, Changsha University of Science and Technology,Changsha,China

3. State Grid Hunan Extra High Voltage Substation Company,Changsha,China

4. CYG SUNRI Co., LTD.,Shenzhen,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511272/10512350/10512857.pdf?arnumber=10512857

Reference11 articles.

1. A Fast Nondominated Sorting Guided Genetic Algorithm for Multi-Objective Power Distribution System Reconfiguration Problem

2. Optimal Reconfiguration of Distribution Networks Using Hybrid Heuristic-Genetic Algorithm

3. A fast modeling method of distribution system reconfiguration based on mixed-integer second-order cone programming

4. Service Restoration Model With Mixed-Integer Second-Order Cone Programming for Distribution Network With Distributed Generations

5. Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence

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