引用本文:林顺富,曾旭文,沈运帷,李东东.考虑灵活性需求的园区综合能源系统协同优化配置[J].电力自动化设备,2022,42(9):
LIN Shunfu,ZENG Xuwen,SHEN Yunwei,LI Dongdong.Collaborative optimal configuration of park-level integrated energy system considering flexibility requirement[J].Electric Power Automation Equipment,2022,42(9):
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考虑灵活性需求的园区综合能源系统协同优化配置
林顺富, 曾旭文, 沈运帷, 李东东
上海电力大学 电气工程学院,上海 200090
摘要:
为了进一步考虑灵活性需求对综合能源系统(IES)资源配置的影响,在IES规划过程中,提出一种计及灵活性需求及新能源不确定性的园区IES协同优化配置方法。基于价格弹性理论建立综合需求响应(IDR)柔性负荷模型,采用Z-number方法描述IDR认知过程与结果的不确定性;考虑新能源的随机性和相关性,利用非参数估计法与Frank-Copula函数改进风光出力联合概率模型,得到典型日风光出力曲线;以IES运营商年化总成本最低为目标,构建上层优化设备型号与台数、下层优化机组运行的IES双层协同配置模型。算例结果表明相较于未考虑IDR及新能源不确定性的场景,所提配置模型减少了成本,进一步提高了经济性,同时配置方案充分考虑源荷双侧不确定性给系统带来的运行风险问题,从而实现了IES规划经济性与运行安全性的平衡。
关键词:  园区综合能源系统  灵活性需求  综合需求响应  配置规划  不确定性
DOI:10.16081/j.epae.202204079
分类号:TM715;TK01
基金项目:国家重点研发计划项目(2018YFB1503001);上海市科学技术委员会资助项目(19020500800);上海市教育发展基金会和上海市教育委员会“曙光计划”资助项目(20SG52);上海市青年科技英才“扬帆计划”资助项目(21YF1414700)
Collaborative optimal configuration of park-level integrated energy system considering flexibility requirement
LIN Shunfu, ZENG Xuwen, SHEN Yunwei, LI Dongdong
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Abstract:
To take the impact of flexibility requirement on the resource allocation for IES(Integrated Energy System) into further consideration, a collaborative optimal configuration method for park-level IES considering flexibility requirement and uncertainty of renewable energy is hereby proposed in planning process of IES. Based on the price elasticity theory, the IDR(Integrated Demand Response) flexible load model is built with the uncertainty of the IDR cognitive process and results described by Z-number method. Considering the stochasticity and correlation of renewable energy, the joint probability model of wind and photovoltaic output is improved by using the non-parametric estimation method with Frank-Copula function, and the typical daily wind and photovoltaic output curves are obtained. Taking the minimum total annual cost for IES operators as an objective, the bi-level collaborative configuration model of IES is constructed in which the model and number of equipment are optimized in the upper level while the operation of unit is optimized in the lower level. The case study results indicate that compared to the scenario without considering IDR and renewable energy uncertainty, the proposed configuration model reduces the cost and further improves the economy. Meanwhile, the operation risk of the system caused by the uncertainty of both source and load sides is fully considered in the configuration scheme, thereby achieving the balance between the economy of IES planning and operation safety.
Key words:  park-level integrated energy system  flexibility requirement  integrated demand response  configuration planning  uncertainty

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