| 引用本文: | 赵建勇,年珩,马润生,宋晓童,石生超,范彩兄,庞博.基于改进雷达图模型的热电联供型微网系统多目标优化配置[J].电力自动化设备,2020,40(12): |
| ZHAO Jianyong,NIAN Heng,MA Runsheng,SONG Xiaotong,SHI Shengchao,FAN Caixiong,PANG Bo.Multi-objective optimization configuration for combined heat and power microgrid system based on improved radar chart model[J].Electric Power Automation Equipment,2020,40(12): |
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| 基于改进雷达图模型的热电联供型微网系统多目标优化配置 |
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赵建勇1,2, 年珩1,2, 马润生3, 宋晓童3, 石生超3, 范彩兄3, 庞博1,2
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1.浙江大学 电气工程学院，浙江 杭州 310027;2.浙江省电机系统智能控制与变流技术重点实验室，浙江 杭州 310027;3.国网青海省电力公司电力科学研究院，青海 西宁 810008
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| 摘要: |
| 针对热电联供型微网系统的容量配置问题，提出了一种基于改进雷达图模型的多目标优化配置方法。首先，提出含有光伏光热(PV/T)单元、变流器、储电单元、热泵、电锅炉、储热单元及电、热负荷的微网结构，并选取了5个优化目标，用于全面表征热电联供型微网系统的供电可靠性、供热可靠性、经济性和可再生能源利用情况。其次，建立了多目标的改进雷达图模型，并基于扇形面积和周长构造了适应度函数。然后，为保证微网系统的电、热稳定供应，给出了约束条件，从而建立了以最大化适应度函数为目标的优化配置模型，并通过优化执行过程，求解得到综合性能最优的微网系统容量配置结果。最后，根据青海省偏远地区的案例分析，验证了提出的多目标优化配置方法的有效性。 |
| 关键词: 雷达图模型 热电联供型微网系统 多目标优化配置 适应度函数 |
| DOI：10.16081/j.epae.202011018 |
| 分类号:TM73;TK01 |
| 基金项目:国网青海省电力公司科技项目(106000003069) |
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| Multi-objective optimization configuration for combined heat and power microgrid system based on improved radar chart model |
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ZHAO Jianyong1,2, NIAN Heng1,2, MA Runsheng3, SONG Xiaotong3, SHI Shengchao3, FAN Caixiong3, PANG Bo1,2
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1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Zhejiang Provincial Key Laboratory of Electrical Machine Systems, Hangzhou 310027, China;3.State Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810008, China
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| Abstract: |
| In order to solve the size configuration problem of the combined heat and power microgrid system, a multi-objective optimization configuration approach is developed on the basis of improved radar chart model. Firstly, a typical microgrid structure is established, which consists of photovoltaic thermal element, inverter, battery, heat pump, boiler, heat storage and load. Five optimization objectives are selected to comprehensively represent power supply reliability, heat supply reliability, economy and renewable energy usage of microgrid system. Then, a multi-objective improved radar chart model is built, and a fitness function is designed on the basis of the sector area and perimeter. Several constraints are subsequently given to ensure reliable power and heat supply. In this way, an optimal configuration model aiming at maximizing the value of fitness function is built. Through the optimization implementation process, the optimal configuration result is obtained. Finally, numerical results of a realistic case in Qinghai province validate the feasibility of the proposed multi-objective optimization configuration method. |
| Key words: radar chart model combined heat and power microgrid system multi-objective opitimization configuration fitness function |
