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考虑不确定性及电/热储能的综合能源系统两阶段规划-运行联合优化方法
雷金勇1, 郭祚刚1, 陈聪2, 袁智勇1, 马溪原1, 沈欣炜2, 孙宏斌2,3
1.南方电网科学研究院有限责任公司,广东 广州 510663;2.清华大学 清华-伯克利深圳学院,广东 深圳 518055;3.清华大学 电机工程与应用电子技术系 电力系统国家重点实验室,北京 100084
摘要:
随着高比例可再生能源接入综合能源系统,在系统规划及运行优化过程中充分考虑不确定性及电/热储能灵活性的问题至关重要。提出了一种考虑可再生能源及多能负载不确定性的综合能源系统两阶段规划-运行联合优化方法。充分挖掘电/热储能的灵活性与上述不确定性的关系,进行互补平衡并改善系统的可靠性与经济性。所提出的两阶段优化问题在第一阶段主要考虑综合能源系统及储能设备的规划问题,包含0-1变量;第二阶段考虑系统运行问题,包含不确定性参数及多种连续变量。通过仿真算例分析了多类型储能配置对综合能源系统规划问题的影响和不确定性参数的场景数量在两阶段随机优化问题中的影响,并对比分析了两阶段随机优化与两阶段鲁棒优化的优缺点。分析结果为综合能源系统灵活配置电/热储能设备、考虑不确定性参数问题提供建模求解的策略及建议。
关键词:  综合能源系统  电储能  热储能  两阶段随机优化  规划-运行联合优化  优化
DOI:10.16081/j.epae.201908046
分类号:TM734
基金项目:南方电网公司科技项目(ZBKJXM20180209)
Two-stage planning-operation co-optimization of IES considering uncertainty and electrical/thermal energy storage
LEI Jinyong1, GUO Zuogang1, CHEN Cong2, YUAN Zhiyong1, MA Xiyuan1, SHEN Xinwei2, SUN Hongbin2,3
1.Electric Power Research Institute, CSG, Guangzhou 510663, China;2.Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China;3.State Key Laboratory of Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Abstract:
The increasing integration of RER(Renewable Energy Resources) in IES(Integrated Energy System) makes it vital to consider uncertainty, BESS(Battery Energy Storage System) and TESS(Thermal Energy Storage System) in energy system. A two-stage planning-operation co-optimization method for IES consi-dering uncertainties from RER and multi-load demands is proposed. Both BESS and TESS are considered to compensate for the uncertainties and improve the reliability and economy of the system. A two-stage optimization problem is proposed with planning considering IES and energy storage equipment as first-stage problem, which contains 0-1 variables, and IES operation as second-stage problem, which contains uncertainty parameters and multiple continuous variables. Through case studies, the influences of constructing multiple types of storages on IES planning are analyzed, the influences of the scenario’s number in two-stage SO(Stochastic Optimization) are discussed and comparison between SO and RO(Robust Optimization) are illustrated, which can provide suggestions for optimal storage construction and appropriate modeling strategy of uncertainty in IES.
Key words:  IES  BESS  TESS  two-stage stochastic optimization  planning-operation co-optimization  optimization

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