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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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 |
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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
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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
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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 |