中国电机工程学报2024，Vol.44Issue(15)：5947-5959,中插9,14.DOI:10.13334/j.0258-8013.pcsee.230461
考虑水光蓄互补和直流外送的电力系统分布鲁棒优化调度方法
Distributionally Robust Optimal Scheduling Method of Power System Considering Hydropower-photovoltaic-pumped Storage Complementarity and DC Transmission
摘要
Abstract
Characterized by randomness and volatility,there is always a gap between the day-ahead forecast value of photovoltaic power generation and its actual output.To improve the consumption of clean and renewable resources such as hydropower and PV under the carbon peaking and carbon neutrality background,a distributionally robust optimal scheduling method of power system considering hydro-photovoltaic-pumped storage complementarity and DC transmission is proposed.Firstly,an optimal scheduling model of power system considering hydropower-photovoltaic-pumped storage complementary and DC transmission is proposed with the objective of minimizing system operating cost and penalty for solar curtailment,in which the rapid regulation ability of cascade hydropower cooperative pumped storage units is adopted to improve the utilization of hydropower and solar,the optimal regulation of DC transmission is modeled,and the AC power flow method is used to take into account the active and reactive power losses of converter stations.Then,a two-stage distributionally robust optimization model based on generalized moment information fuzzy set is proposed,considering the uncertainty of solar.The first stage optimized the power system scheduling decision for the basic scenario,and the second stage minimized the penalty expectation for solar curtailment in the worst uncertain scenario.Finally,the effectiveness of the proposed model is verified by examples.关键词
梯级水电/光伏/抽水蓄能/直流外送/分布鲁棒优化Key words
cascaded hydropower/solar/pumped storage/DC transmission/distributionally robust optimization分类
信息技术与安全科学引用本文复制引用
谭晶,何川,陈保瑞,刘天琪,南璐,印月..考虑水光蓄互补和直流外送的电力系统分布鲁棒优化调度方法[J].中国电机工程学报,2024,44(15):5947-5959,中插9,14.基金项目
国家自然科学基金项目(52277114). Project Supported by National Natural Science Foundation of China(52277114). （52277114）
