计及蓄电池使用寿命的热电联供型微电网经济优化
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摘要
热电联供型微电网与当前能源互联网发展联系紧密,具有经济、节能、环保等优点。为了使热电联供系统的经济模型计算更加精确,文章在微电网经济调度优化模型中,考虑了蓄电池充放电深度和荷电状态SOC对蓄电池寿命的影响,利用加权吞吐量法计算其运行成本,建立了含风电机组、光伏电池、储能系统、燃料电池、空调机以及热电联供的并网型微电网系统的日运行成本优化模型,采用改进型遗传算法优化各微源出力,使其日运行成本最小。通过仿真算例,验证了考虑蓄电池使用寿命的微电网运行成本模型更符合实际运行工况。
The microgrid based on combined heat and power system is closely related to the development of Energy Internet. It has the advantages of economy, energy saving and environmental protection. In the process of ensuring its safe and reliable operation, the battery plays a significant role. In order to calculate the economic of the combined heat and power system accurately, this paper establishes the storage battery operation cost based on the weighted throughput method, which takes into account the influence of charging and discharging depth and SOC of charging state. Then, an economic dispatch optimization model of a grid-connected microgrid system including wind turbines, photovoltaic cells, energy storage systems, fuel cells,air conditioners and the combined heat and power system is established. An improved genetic algorithm is used to optimize the micro-source output to minimize the operation cost. The simulation results shows that the operation cost of microgrid considering the service life cost of storage battery is more in line with the actual operation mode.
The microgrid based on combined heat and power system is closely related to the development of Energy Internet. It has the advantages of economy, energy saving and environmental protection. In the process of ensuring its safe and reliable operation, the battery plays a significant role. In order to calculate the economic of the combined heat and power system accurately, this paper establishes the storage battery operation cost based on the weighted throughput method, which takes into account the influence of charging and discharging depth and SOC of charging state. Then, an economic dispatch optimization model of a grid-connected microgrid system including wind turbines, photovoltaic cells, energy storage systems, fuel cells,air conditioners and the combined heat and power system is established. An improved genetic algorithm is used to optimize the micro-source output to minimize the operation cost. The simulation results shows that the operation cost of microgrid considering the service life cost of storage battery is more in line with the actual operation mode.
引文
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[2]滕云,张铁岩,陈哲.多能源互联系统优化运行与控制技术研究现状与前景展望[J].可再生能源,2018, 36(3):467-474.
[3]彭克,张聪,徐丙垠,等.多能协同综合能源系统示范工程现状与展望[J].电力自动化设备,2017,37(6):3-10.
[4]吴雄,王秀丽,别朝红,等.含热电联供系统的微网经济运行[J].电力自动化设备,2013,33(8):1-6.
[5]李正茂,张峰,梁军,等.计及附加机会收益的冷热电联供型微电网动态调度[J].电力系统自动化,2015(14):8-15.
[6]戴远航,陈磊,闵勇,等.风电场与含储热的热电联产联合运行的优化调度[J].中国电机工程学报,2017,37(12):3470-3489.
[7]孟安波,梅鹏,卢海明.基于纵横交叉算法的热电联产经济调度[J].电力系统保护与控制,2016,44(6):90-97.
[8]刘涤尘,马恒瑞,王波,等.含冷热电联供及储能的区域综合能源系统运行优化[J].电力系统自动化,2018,42(4):113-120,141.
[9]郭宇航,胡博,万凌云,等.含热泵的热电联产型微电网短期最优经济运行[J].电力系统自动化,2015,39(14):16-22.
[10]肖青,陈洁,杨秀,等.含多种分布式电源的微网动态经济调度[J].电力系统及其自动化学报,2013,25(4):22-28.
[11]陈洁,杨秀,朱兰,等.基于遗传算法的热电联产型微网经济运行优化[J].电力系统保护与控制,2013(8):7-15.
[12]陈念斌,杨明玉.热电联产型微网系统的优化调度研究[J].现代电力,2015,32(4):27-33.
[13]陈洁,杨秀,朱兰,等.微网多目标经济调度优化[J].中国电机工程学报,2013,33(19):57-66.
[14] Basu A K,Chowdhury S,Chowdhury S P. Strategic deployment of CHP-based distributed energy resources in microgrids[A].Proceedings of IEEE Power and Energy Society General Meeting[C].Calgary:IEEE,2009.1-6.
[15]程启明,程尹曼,黄山,等.微电网经济优化运行综述[J].广东电力, 2018,31(2):1-9.
[16]刘春阳,王秀丽,刘世民,等.计及蓄电池使用寿命的微电网经济调度模型[J].电力自动化设备,2015,35(10):29-36..
[17]潘鹏飞,李秋红,任冰涛,等.基于遗传算法的航空发动机部件特性修正[J].北京航空航天大学学报,2014,40(5):690-694.
[18]刘方,杨秀,时珊珊,等.考虑不确定因素下含充换储一体化电站的微网能量优化[J].电网技术,2015,39(3):669-676.