| 引用本文: | 王琪鑫,刘涤尘,吴军,朱学栋,罗金山,陈懿,陈炜,赵红生,孙勇,蔡宏毅.计及用户行为分析的多能协同综合能源系统供需双侧综合优化[J].电力自动化设备,2017,37(6): |
| WANG Qixin,LIU Dichen,WU Jun,ZHU Xuedong,LUO Jinshan,CHEN Yi,CHEN Wei,ZHAO Hongsheng,SUN Yong,CAI Hongyi.Comprehensive optimization including user behavior analysis for supply and demand sides of IES-MEC[J].Electric Power Automation Equipment,2017,37(6): |
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| 计及用户行为分析的多能协同综合能源系统供需双侧综合优化 |
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王琪鑫1, 刘涤尘1, 吴军1, 朱学栋1, 罗金山1, 陈懿1, 陈炜1, 赵红生2, 孙勇3, 蔡宏毅3
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1.武汉大学 电气工程学院，湖北 武汉 430072;2.国网湖北省电力公司经济技术研究院，湖北 武汉 430077;3.国网吉林省电力公司，吉林 长春 130000
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| 摘要: |
| 以多能协同综合能源系统的供暖用暖体系为研究对象，计及需求侧用户行为分析，提出综合供应侧与需求侧的优化方法。结合效用函数对需求侧用户用暖行为进行分析；根据不同能源的制暖特点建立供应侧经济性模型，根据不同能源的供暖机制建立需求侧经济性模型；以供应侧电厂运行效率最大、需求侧居民用电成本最低为目标进行双目标优化。将该优化方法在热电联产系统与电热气综合能源系统2种算例中进行分析并对比结果，证明了天然气系统的加入对综合能源系统具有协同优化作用，也验证了所提方法的有效性与可行性。 |
| 关键词: 多能协同 综合能源系统 用户行为分析 供需综合优化 双目标优化 |
| DOI：10.16081/j.issn.1006-6047.2017.06.024 |
| 分类号:TM761 |
| 基金项目:国家科技支撑计划项目(消纳风电的热电联合优化规划及运行控制技术)(2015BAA01B01) |
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| Comprehensive optimization including user behavior analysis for supply and demand sides of IES-MEC |
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WANG Qixin1, LIU Dichen1, WU Jun1, ZHU Xuedong1, LUO Jinshan1, CHEN Yi1, CHEN Wei1, ZHAO Hongsheng2, SUN Yong3, CAI Hongyi3
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1.School of Electrical Engineering, Wuhan University, Wuhan 430072, China;2.Economic and Technology Research Institute of State Grid Hubei Electric Power Company, Wuhan 430077, China;3.State Grid Jilin Electric Power Company, Changchun 130000, China
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| Abstract: |
| With the heat supply and consumption system of an IES-MEC(Integrated Energy System with Multi-Energy Cooperation) as the research object, a method of comprehensive optimization including user behaviour analysis is proposed for its supply and demand sides. The utility function is adopted to analyze the user behaviour towards the heat consumption at demand side. The economic supply-side models are established according to their heat generation characteristics for different energy sources while the economic demand-side models according to their heat supply mechanisms. A bi-objective optimization method is suggested, which maximizes the operational efficiency of power plant at supply side and minimizes the household electricity consumption cost at demand side. The proposed method is respectively applied to a heat-power combination system and an electricity-heat-gas IES. The optimization results are analyzed and compared, which proves that the integrated gas system enhances the cooperative optimization effect of IES and also verifies the effectiveness and feasibility of the proposed method. |
| Key words: multi-energy cooperation integrated energy system user behavior analysis comprehensive supply-demand optimization bi-objective optimization |
