【摘要】 在有限的火电和储能容量配置情况下，改善大规模海上风电通过风-火-储互补的能源基地向电力系统送电带来的送出受限、备用容量不足难题，是当前亟需解决的难题，为此，提出一种适用于大规模海上风电集中送电的能源基地运行调度策略。首先，综合考虑火电机组的调峰收益与成本，并以海上风电能源基地整体收益最大、净负荷波动最小为目标，构建考虑能源基地售电收益与系统调峰的上层调度优化模型，对该模型进行求解得到海上风电能源基地的日前调峰计划；然后，在上层模型求得的计划基础上，基于藤Copula理论对多个海上风电场预测出力偏差的不确定性进行建模和场景生成，并采用条件风险价值衡量海上风电基地的火电备用容量成本、弃风惩罚风险成本、外送功率调整风险成本，进而构建考虑海上风电出力不确定性的能源基地系统备用容量计划优化模型；接着，综合上层模型与下层模型的优化求解，提出适用于大规模海上风电集中送电的能源基地运行调度策略；最后，针对某区域海上风电集群送出系统构建算例模型，对比分析鲁棒优化策略与所提策略在各项成本指标上的优化效果，并分析风电场出力相关性对弃风及外送功率调整的影响。分析结果表明：所提策略使净负荷峰谷差降低了17.5%,显著缓解受端调峰压力；同时，较鲁棒优化策略，所提策略的火电备用容量成本降低5.3%,且外送功率调整成本降低56.3%;另外，考虑风电相关性可使不确定性场景下的外送调整功率降低35%。可知，所提策略在经济性、场景适应性上均优于常规策略。更多还原

【Abstract】 In the limited configuration of thermal power and energy storage capacity,it is urgent to solve the problems of improving the limited transmission and insufficient reserve capacity caused by large-scale offshore wind power to the power system through energy base of wind-thermal-storage.Therefore,this paper proposes an energy base operation and scheduling strategy suitable for large-scale centralized transmission of offshore wind power.Firstly,it comprehensively considers the peak-shaving revenues and costs of thermal units,and constructs an upper-level optimization model that aims to maximize the overall profit of the offshore wind energy base and minimizing the net load fluctuations.And it obtains the day-ahead peakshaving schedule of the energy base by solving this model.Then,based on the upper-level scheduling plan,the paper models the uncertainty of offshore wind power prediction errors using vine-Copula theory to generate correlated scenarios across multiple wind farms.It also employs the conditional value at risk(CVaR) to quantify the risk costs associated with thermal reserve capacity cost,wind power curtailment penalty cost,and adjusting risk cost of external power transmission.Accordingly,a lower-level optimization model is constructed to determine the reserve capacity scheduling plan under offshore wind power uncertainty.By integrating the solutions of the upper-level and lower-level models,the paper proposes a coordinated operational scheduling strategy for centralized transmission of the large-scale offshore wind power.Finally,a case study model is constructed for the offshore wind power cluster transmission system in a certain region,and the optimization effects of robust optimization strategy and the method proposed in this paper on various cost indicators are compared and analyzed,and the impact of wind farm output correlation on wind power curtailment and external transmission power adjustment is also analyzed.The analysis results show that the proposed strategy reduces the peak valley difference of net load by 17.5%,significantly alleviating the pressure of peak shaving at the receiving gird.At the same time,compared to the robust optimization strategy,the proposed strategy reduces the reserve capacity cost of thermal power by 5.3%,and the cost of external adjusting power by 56.3%.In addition,considering the correlation of wind power can reduce the adjustment power of external transmission by 35% in uncertain scenarios.Therefore,the proposed strategy is superior to traditional strategies in terms of economy and scenario adaptability.更多还原