文章摘要
吴福保,刘晓峰,孙谊媊,等.基于冷热电联供的多园区博弈优化策略[J].电力系统自动化,2018,42(13):68-75. DOI: 10.7500/AEPS20170914005.
WU Fubao,LIU Xiaofeng,SUN Yiqian, et al.Game Optimization Strategy for Multiple Parks Based on Combined Cooling Heating and Power[J].Automation of Electric Power Systems,2018,42(13):68-75. DOI: 10.7500/AEPS20170914005.
基于冷热电联供的多园区博弈优化策略
Game Optimization Strategy for Multiple Parks Based on Combined Cooling Heating and Power
DOI:10.7500/AEPS20170914005
关键词: 多园区  冷热电联供  分布式电源  非合作博弈  Nash均衡
KeyWords: multiple parks  combined cooling heating and power(CCHP)  distributed generator  non-cooperative game  Nash equilibrium
上网日期:2018-01-24
基金项目:国家重点研发计划资助项目(2016YFB0900100);国家自然科学基金资助项目(51577163)
作者单位E-mail
吴福保 新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司), 江苏省南京市 210003  
刘晓峰 东南大学电气工程学院, 江苏省南京市 210096  
孙谊媊 国网新疆电力有限公司电力科学研究院, 新疆维吾尔自治区乌鲁木齐市 830011  
陈宁 新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司), 江苏省南京市 210003  
袁铁江 大连理工大学电气工程学院, 辽宁省大连市 116024  
高丙团 东南大学电气工程学院, 江苏省南京市 210096 gaobingtuan@seu.edu.cn 
摘要:
      园区一般涉及冷、热、电等多种能量流的生产、转换和使用,通过利用冷热电联供综合能源系统可以有效提高能源利用率、缓解能量供应压力。考虑动态电价机制下园区用电价格受市场需求影响,不同利益主体间存在博弈竞争关系。鉴于此,建立了基于冷热电联供的多园区非合作博弈优化模型,各园区以日运转成本最小为目标函数和其他园区共同参与博弈,同时考虑联供系统各单元出力、储能设备等约束条件,实现园区多能流互补协同优化。最后,以某地区三个园区的冷热电能流协调优化控制为例进行了仿真分析,算例结果表明所建立的博弈优化模型能合理分配联供系统出力及购电功率,不仅可以降低园区日运转成本,而且可以降低电网负荷峰谷差。
Abstract:
      Parks usually involve the production, conversion and use of various energy flows, such as cold, heat, and electricity. By utilizing the combined cooling heating and power(CCHP)system, the energy efficiency can be improved effectively and the energy supply pressure can also be eased. Considering that the market demand will influence the energy price of electricity under the real-time price mechanism, there exists the game competition among different stakeholders. Accordingly, a non-cooperative game model for multiple parks with CCHP system is established, in which the target of each park is to minimize the daily operation cost considering the constraints for power output of CCHP system and storage equipment. The proposed model can realize the collaborative optimization of various energy flows. Finally, the coordinated optimization control of three parks in a certain area is taken as an example. The simulation result shows that the model can allocate CCHP system output and purchase power reasonably, and daily operation cost of parks and peak-valley difference of power system will also be reduced.
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