摘要
考虑风光出力和负荷的不确定性及温控负荷反弹特性的精细建模程度对区域综合能源系统(regional integrated energy system,RIES)优化调度的影响,提出计及细节层次直接负荷控制的多时间尺度协调优化调度策略。日前调度采用三阶段反弹简化直接负荷控制模型,以系统运行经济性最优为目标求解机组运行计划;日内调度基于细节层次直接负荷控制仿真修正日前反弹负荷曲线,求解各微源的出力计划;实时调度进一步细化日内仿真反弹负荷曲线,结合模型预测控制理论,通过反馈校正和滚动优化调整微源出力,实现多时间尺度的协调运行。算例结果表明多时间尺度下计及细节层次的直接负荷控制更能贴合实际系统运行,实现机组出力精准化控制,验证了所提优化调度策略的可行性及有效性。
Considering the influence of the uncertainty of wind output and load and the degree of fine modeling of temperature-controlled load rebound characteristics on the optimal dispatch of the Regional Integrated Energy System,a multi-time scale coordinated optimal scheduling strategy that takes into account the level of detail direct load control is proposed.The day-ahead dispatch adopts a simplified three-stage rebound direct load control model to solve the unit operation plan with the goal of optimal system operation economy;The intraday scheduling is based on the direct load control simulation at the level of detail to correct the day-ahead rebound load curve and solve the micro-source output plan;And the real-time scheduling refines the intraday simulation rebound load curve.sBaed on the model predictive control algorithm,the micro-source output is adjusted through feedback correction and rolling optimization so as to achieve the coordinated operation of multiple time scales.The case study results shows that the direct load control that takes into account of the level of detail under multiple time scales is more suitable for the actual system operation It can realize the precise control of unit output,verifying the feasibility and effectiveness of the proposed optimal scheduling strategy.
作者
朱兰
田泽清
唐陇军
李孝均
崔楷舜
ZHU Lan;TIAN Zeqing;TANG Longjun;LI Xiaojun;CUI Kaishun(School of Electrical Engineering,Shanghai University of Electric Power,Yangpu District,Shanghai 200090,China;East China Branch,State Grid Corporation of China,Pudong New Area,Shanghai 200120,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第7期2763-2772,共10页
Power System Technology
基金
国家自然科学基金项目(51807114)
上海市科委项目(18DZ1203200)
上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)。