引用本文:王丹,孟政吉,贾宏杰,吴琳,杜炜,陈宁,王旭东.基于配置-运行协同优化的分布式能源站选型与定容规划[J].电力自动化设备,2019,39(8):
WANG Dan,MENG Zhengji,JIA Hongjie,WU Lin,DU Wei,CHEN Ning,WANG Xudong.Siting and sizing planning for distributed energy station based on coordinated optimization of configuration and operation[J].Electric Power Automation Equipment,2019,39(8):
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基于配置-运行协同优化的分布式能源站选型与定容规划
王丹1, 孟政吉1, 贾宏杰1, 吴琳2, 杜炜2, 陈宁3, 王旭东4
1.天津大学 智能电网教育部重点实验室,天津 300072;2.国电南瑞科技股份有限公司,江苏 南京 210000;3.中国电力科学研究院有限公司 新能源与储能运行控制国家重点实验室,江苏 南京 210003;4.国网天津市电力公司,天津 300010
摘要:
对分布式能源站(DES)进行综合建模,结合规划与运行2类约束条件,从设备规划与系统运行总体经济最优的角度,提出了一种基于混合整数线性规划的DES配置-运行协同优化方法。通过算例验证表明,提出的方法可在考虑系统全年运行优化的基础上实现DES的选型与定容规划,减少设备配置冗余,降低系统运行成本,并且对于复杂的规划对象具有较高的求解效率。
关键词:  区域综合能源系统  分布式能源站  选型规划  定容规划  优化调度
DOI:10.16081/j.epae.201908009
分类号:TM715;TM73
基金项目:国家重点研发计划资助项目(2018YFB0905000);国家自然科学基金联合基金资助项目(U1766210);国家电网公司总部科技项目(SGTJDK00DWJS1800232);分布式能源与微网国际联合实验室合作项目
Siting and sizing planning for distributed energy station based on coordinated optimization of configuration and operation
WANG Dan1, MENG Zhengji1, JIA Hongjie1, WU Lin2, DU Wei2, CHEN Ning3, WANG Xudong4
1.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;2.NARI Technology Co.,Ltd.,Nanjing 210000, China;3.State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Nanjing 210003, China;4.State Grid Tianjin Electric Power Company, Tianjin 300010, China
Abstract:
A DES(Distributed Energy Station) model is proposed considering constraints of both planning and operation stages. A coordinated optimization method of configuration and operation based on mixed integer linear programming is proposed to minimize the cost of both planning and operation stages. Numerical results indicate that the proposed approach provides optimal siting and sizing planning strategy of DES considering annual operation costs. Moreover, the proposed approach effectively reduces the redundancy of equipment configuration and the system operating cost, and exhibits high computational efficiency for sol-ving complicated planning problems.
Key words:  regional integrated energy system  distributed energy station  siting planning  sizing planning  optimal dispatch

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