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计及多能存储和综合需求响应的多能源系统可靠性评估
路红池1, 谢开贵1, 王学斌2, 吴涛1, 胡博1, 伏坚1
1.重庆大学 输配电装备及系统安全与新技术国家重点实验室,重庆 400044;2.国网青海省电力公司电力科学研究院,青海 西宁 810008
摘要:
提出一种计及多能存储和综合需求响应的多能源系统可靠性评估模型。首先,将电、热等负荷分为柔性负荷和非柔性负荷,建立多能源系统的综合需求响应模型;其次,以能源购买成本与负荷削减成本之和最小为目标函数,建立计及多能存储和综合需求响应的最优负荷削减模型;然后,基于时序蒙特卡洛模拟法,对计及多能存储和综合需求响应的多能源系统进行可靠性评估;最后,基于构建的含有储热、储电、储气等多能存储的多能源系统进行算例分析,评估了9个不同场景下多能源系统的可靠性。算例表明多能存储和综合需求响应可协同优化各时段能源供给和柔性负荷需求,减少元件故障导致的失负荷量,进而显著提升多能源系统的可靠性和经济性。
关键词:  多能源系统  多能存储  综合需求响应  最优负荷削减  可靠性评估
DOI:10.16081/j.epae.201908019
分类号:TM711
基金项目:国家重点研发计划项目(2017YFB0902200);国家电网公司科技项目(5228001700CW)
Reliability assessment of multi-energy system considering multi-storage and integrated demand response
LU Hongchi1, XIE Kaigui1, WANG Xuebin2, WU Tao1, HU Bo1, FU Jian1
1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China;2.State Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810008, China
Abstract:
A reliability assessment model for multi-energy system considering MS-IDR(Multi-Storage and Integrated Demand Response) is proposed. Firstly, the electric and thermal load is divided into flexible load and non-flexible load, and the integrated demand response model of multi-energy system is established. Then, the optimal load curtailment model considering MS-IDR is built with the objective of minimizing the total cost of energy purchase and load shedding. The reliability of the multi-energy system with MS-IDR is evaluated based on the sequential Monte Carlo simulation method. Based on the proposed multi-energy system containing heat storage, electricity storage and gas storage, the reliability of multi-energy system is eva-luated under nine different scenarios. Case studies demonstrate that the multi-storage and the integrated demand response can coordinately optimize the energy supply and flexible load demand, reduce the amount of load shedding caused by component failure and enhance the reliability and economy performance of the multi-energy system.
Key words:  multi-energy system  multi-storage  integrated demand response  optimal load curtailment  reliability assessment

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