Robust Switch Selection in Radial Distribution Systems Using Combinatorial Optimization

Hani Mavalizadeh; Omid Homaee; Reza Dashti; Josep M. Guerrero; Hassan Haes Alhelou; Pierluigi Siano

doi:10.17775/CSEEJPES.2020.05660

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Robust Switch Selection in Radial Distribution Systems Using Combinatorial Optimization

Regular Papers | 更新时间：2026-10-15

- Robust Switch Selection in Radial Distribution Systems Using Combinatorial Optimization
- CSEE Journal of Power and Energy Systems Vol. 8, Issue 3, Pages: 933-940(2022)
- 作者机构：
  
  1. Fanavaran Moj Khatam, Tehran,Iran
  2. School of Electrical Engineering, Iran University of Science and Technology, Tehran,Iran
  3. School of Advanced Technologies, Iran University of Science and Technology, Tehran,Iran
  4. Department of Energy Technology, Centre for Research on Microgrids (CROM), Aalborg University, Aalborg,Denmark
  5. Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, Lattakia,Syria
  6. Department of Management & Innovation Systems, University of Salerno, Fisciano,SA,Italy
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2020.05660
  CLC：
- Published：01 May 2022
- 稿件说明：
移动端阅览
Hani Mavalizadeh, Omid Homaee, Reza Dashti, et al. Robust Switch Selection in Radial Distribution Systems Using Combinatorial Optimization[J]. CSEE Journal of Power and Energy Systems, 2022, 8(3): 933-940.
DOI：

Hani Mavalizadeh, Omid Homaee, Reza Dashti, et al. Robust Switch Selection in Radial Distribution Systems Using Combinatorial Optimization[J]. CSEE Journal of Power and Energy Systems, 2022, 8(3): 933-940. DOI： 10.17775/CSEEJPES.2020.05660.

摘要

Abstract

Selecting the best type of equipment among available switches with different prices and reliability levels is a significant challenge in distribution system planning. In this paper

the optimal type of switches in a radial distribution system is selected by considering the total cost and reliability criterion and using the weighted augmented epsilon constraint method and combinatorial optimization. A new index is calculated to assess the robustness of each Pareto solution. Moreover

for each failure

repair time is considered based on historical data. Monte Carlo simulations are used to consider the switch failure uncertainty and fault repair time uncertainty in the model. The proposed framework is applied to an RTBS Bus-2 test system. Furthermore

the model is also applied to an industrial system to verify the proposed method's excellent performance in larger practical engineering problems.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Learning to Optimize Joint Chance-Constrained Power Dispatch Problems

Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach

Transmission network expansion planning considering the generators' contribution to uncertainty accommodation

Risk-averse Planning and Evaluation for Park-level Integrated Energy System Considering Seasonal Correlation of Uncertain Energy Prices

Adjustable Robust Sizing and Operation Co-Optimization for Grid-Connected LVDC Systems with Photovoltaic and Battery

Related Author

Meiyi Li

Javad Mohammadi

Lianyong Zuo

Shengshi Wang

Yong Sun

Shichang Cui

Jiakun Fang

Xiaomeng Ai

Related Institution

Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin

State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology

State Grid Jilin Electric Power Company

Huazhong University of Science and Technology,,, CN

Economic & Technical Research Institute, State Grid Hunan Electric Power Corporation

AI问答

⁰