Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach
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Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach
Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach
中国电机工程学会电力与能源系统学报(英文)2024年10卷第2期 页码:518-529
作者机构:
1. State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology,Wuhan,China
2. State Grid Jilin Electric Power Company,Changchun,China
Lianyong Zuo, Shengshi Wang, Yong Sun, 等. Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(2):518-529.
Lianyong Zuo, Shengshi Wang, Yong Sun, et al. Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach[J]. CSEE Journal of Power and Energy Systems, 2024, 10(2): 518-529.
Lianyong Zuo, Shengshi Wang, Yong Sun, 等. Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(2):518-529.DOI: 10.17775/CSEEJPES.2023.05980.
Lianyong Zuo, Shengshi Wang, Yong Sun, et al. Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach[J]. CSEE Journal of Power and Energy Systems, 2024, 10(2): 518-529.DOI: 10.17775/CSEEJPES.2023.05980.
Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach
Fossil fuel depletion and environmental pollution problems promote development of renewable energy (RE) globally. With increasing penetration of RE
operation security and economy of power systems (PS) are greatly impacted by fluctuation and intermittence of renewable power. In this paper
information gap decision theory (IGDT) is adapted to handle uncertainty of wind power generation. Based on conventional IGDT method
linear regulation strategy (LRS) and robust linear optimization (RLO) method are integrated to reformulate the model for rigorously considering security constraints. Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS. Moreover
a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming (MILP) problem for convenient optimization without robustness loss. Finally
results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.