參考文獻
[1] 楊帆,夏榮立,楊威. 碳達峰、碳中和背景下新能源發展趨勢研究[J]. 中國工程咨詢,2021(9) :22-26.
[2] 董昂,黃悅. 淺析傳統電力系統無功優化的現狀[J] .科技風,2019(36) :187.
[3] 李允昭,黃凈,柏青,等. 分布式電源接入對配電網電壓影響分析及其無功優化[J] . 電子設計工程,2019,27(24) :135-139.
[4] 劉夢依,邱曉燕,張志榮,等. 計及風光出力相關性的配電網多目標無功優化[J] . 電網技術,2020,44(5) :1892-1899.
[5] CAO Di, ZHAO Junbo, HU Weihao, et al.Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems[J].IEEE Transactions on Smart Grid,2022,13(1) :149-165.
[6] 張立波,程浩忠,曾平良,等. 基于 Nataf 逆變換的概率潮流三點估計法[J] . 電工技術學報,2016,31(6) :187-194.
[7] 張沛,朱駐軍,謝樺. 基于深度強化學習近端策略優化的電網無功優化方法[J] . 電網技術,2023,47(2) :562-570.
[8] DING Tao, LIU Shiyu, YUAN Wei, et al.A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks[J].IEEE Transactions on Sustainable Energy,2016,7(1) :301-311.
[9] SONG H, LIU Z, CHEN X, et al.Research on Reactive Power Optimization and Voltage Control of Power Grid Based on Gravity Energy Storage Technology[C]//2022 International Conference on Computers, Information Processing and Advanced Education(CIPAE),2022 :21-25.
[10] ZHANG Cong, CHEN Haoyong, SHI Ke, et al.A Multi-Time Reactive Power Optimization Under Interval Uncertainty of Renewable Power Generation by an Interval Sequential Quadratic Programming Method[J].IEEE Transactions on Sustainable Energy,2019,10(3) :1086-1097.
[11] 顏湘武,徐韻. 考慮網絡動態重構含多異質可再生分布式電源參與調控的配電網多時空尺度無功優化[J] .電工技術學報,2019,34(20) :4358-4372.
[12] 胡丹爾,彭勇剛,韋巍,等. 多時間尺度的配電網深度強化學習無功優化策略[J] . 中國電機工程學報,2022,42(14) :5034-5044.
[13] 楊亙燁,孫榮富,丁然,等. 計及光伏多狀態調節能力的配電網多時間尺度電壓優化[J] . 中國電力,2022,55(3) :105-114.
[14] CHEN S, WANG C, SHENG H, et al.Multi-Time Scale Active and Reactive Power Coordinated Optimal Dispatch in Active Distribution Network Based on Scenario Method[C]//2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference(I & CPS),2021 :1-10.
[15] 秦佳倩,馬瑞. 電-氣耦合系統概率 Pareto 最大負荷裕度及靈敏度分析[J]. 電網技術,2019,43(1) :58-64.
[16] 李哲,李新生,杜巖. 基于粒子群算法的配網優化運行建模與仿真[J] . 電子設計工程,2022,30(18) :175-178.