引用本文:高雪倩,刘文霞.计及可靠性价值的综合能源系统设备优化配置[J].电力自动化设备,2022,42(3):
GAO Xueqian,LIU Wenxia.Optimal configuration of integrated energy system equipment considering reliability value[J].Electric Power Automation Equipment,2022,42(3):
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计及可靠性价值的综合能源系统设备优化配置
高雪倩, 刘文霞
华北电力大学 新能源电力系统国家重点实验室,北京 102206
摘要:
为推动电网和终端分布式综合能源系统(DIES)以市场机制分摊对用户供能可靠性的责任,充分体现DIES的可靠性价值,提出了一种计及可靠性价值的综合能源系统设备优化配置方法。以计及可靠性的节点电能定价和DIES可靠性评估为基础,构建了考虑可靠性的DIES并网点电价估算模型。在此基础上,建立了兼顾设备优化配置及优化运行的双层协同规划模型,上层以规划DIES总收益最优为目标进行设备容量配置,下层计及可靠性增量价值,以运行收益最大为目标优化各机组出力。通过算例验证了计及可靠性价值的综合能源系统优化配置模型的有效性,并分析了用户负荷特性、用户用能可靠性要求以及配电网年负荷增长率对配置结果的影响。
关键词:  综合能源系统  节点电价  可靠性价值  ISODATA聚类  自适应差分进化算法  协同优化配置
DOI:10.16081/j.epae.202111010
分类号:TM715;TK01
基金项目:国网山西省电力公司经济技术研究院科技项目(SGSXJY00PSJS1900022)
Optimal configuration of integrated energy system equipment considering reliability value
GAO Xueqian, LIU Wenxia
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Abstract:
In order to promote the power grid and terminal DIES(Distributed Integrated Energy System) to share the responsibility of the users’ energy supply reliability by market mechanism, and fully reflect the reliability value of DIES, an optimal configuration method of integrated energy system equipment considering reliability value is proposed. Based on the electricity price of node considering reliability and the reliability evaluation of DIES, a grid-connected electricity price estimation model considering reliability for DIES is constructed. Based on this, a two-layer collaborative planning model that takes into account optimal configuration and operation of equipment is established. The equipment capacity allocation with the goal of optimizing the total revenue of DIES is performed in the upper layer. Considering incremental value of reliability, the output of each unit is optimized with the goal of maximizing operating revenue in the lower layer. An example is used to verify the effectiveness of the optimal configuration model of integrated energy system considering reliability value, and the impacts of users’ load characteristics, users’ energy supply reliability requirements, and annual load growth rate of distribution network on the configuration results are analyzed.
Key words:  integrated energy system  electricity price of node  reliability value  ISODATA clustering  adaptive differential evolution algorithm  collaborative optimal configuration

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