电热联合系统的多级协调调度策略
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摘要
风电具有诸如间歇性、波动性、反调峰特性、预测误差大的特点,其特点弱化了电网电源的可控性。由于热电联产机组"以热定电"的特性,严重限制了电出力的调节,成为供暖期弃风问题高发的导火索之一。采用能量流模型对电热联合系统进行分析,并对调度模型进行优化,可以在供暖期提高对风电的消纳能力。研究结果表明,可通过电加热站的供热来增加低谷时期的电负荷,同时降低机组的电出力,为风电并网扩大空间;此外,热负荷的大小还受到用户室内温度的影响,从而又导致风电消纳总量降低;因此将换热环节的约束考虑在内的调度模型所优化出的结果是更加准确、可信度更高的。
Wind power has the characteristics of intermittence, fluctuation, anti peak load characteristics and large prediction error,which weakens the controllability of power grid. Due to the characteristics of the heat and power generation unit,the regulation of the output power has been severely restricted. The energy flow model is used to analyze the electric heating combined system and optimize the scheduling model,so that the capacity of wind power can be increased during the heating period. The results show that the electric load of the low valley can be increased through the heating of the electric heating station,and the electric output of the unit can be reduced and the space of the wind power grid is enlarged. In addition,the heat load is also influenced by the temperature of the user,which leads to the reduction of the total amount of wind power consumption. Therefore,the constraints of the heat transfer link are considered in the consideration. The result of the scheduling model is more accurate and credible.
Wind power has the characteristics of intermittence, fluctuation, anti peak load characteristics and large prediction error,which weakens the controllability of power grid. Due to the characteristics of the heat and power generation unit,the regulation of the output power has been severely restricted. The energy flow model is used to analyze the electric heating combined system and optimize the scheduling model,so that the capacity of wind power can be increased during the heating period. The results show that the electric load of the low valley can be increased through the heating of the electric heating station,and the electric output of the unit can be reduced and the space of the wind power grid is enlarged. In addition,the heat load is also influenced by the temperature of the user,which leads to the reduction of the total amount of wind power consumption. Therefore,the constraints of the heat transfer link are considered in the consideration. The result of the scheduling model is more accurate and credible.
引文
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[2] Parsons B,Milligan M,Zavadil B,et al. Gridimpacts of wind power:a summary of recent studiesin the United States[J]. Wind Energy,2004,7(7):87-108.
[3]刘新东,方科,陈焕远,等.利用合理弃风提高大规模风电消纳能力的理论研究[J].电力系统保护与控制,2012,40(6):35-39.
[4] Liu D,Zhang G,Huang B,et al. Optimum ElectricBoiler Capacity Configuration in a Regional PowerGrid for a Wind Power Accommodation Scenario[J]. Energies,2016,9(3):144-153.
[5] Hiibner S,Eck M,Stiller C,et al. Techno-econom-ic heat transfer optimization of large s`cale latentheat energy storage systems in solar thermal powerplants[J].Applied Thermal Engineering,201,98(4):483-491.
[6] Lund H. Large-scale integration of wind power intodifferent energy systems[J].Energy,2005,30(13):2402-2412.
[7] Nielsen M G, Morales J M, Zugno M, et al.Economic valuation of heat pumps and electricboilers in the Danish energy system[J]. AppliedEnergy,2016,167:189-200.
[8] Rinne S,Syri S. The possibilities of combined heatand power production balancing large amounts ofwind power in Finland[J]. Energy,2015,82:1034-1046.
[9]吕泉,陈天佑,王海霞,等.配置储热后热电机组调峰能力分析[J].电力系统自动化,2014,38(11):34-41.
[10]Balic D,Maljkovic D. District h ZHANG Ming,WANG Wu,ZHAO Lili,et al.The simulationanalysis of power loss prediction model based onlarge data analysis[J].Shaanxi Electric Power,2016,44(6):31-35.
[11]龙虹毓,付林,徐瑞林,等.利用燃气机组和热泵减少不确定因素影响的电网调度[J].电工技术学报,2015,30(20):219-226.
[12]荣爽.促进供暖期风电消纳的多热源容量规划与协调调度策略[D].哈尔滨:哈尔滨工业大学,2016.
[13]杨帅,陈磊,徐飞,等.基于能量流的电热综合能源系统弃风消纳优化调度模型[J].电网技术,2018(2):417.
[14]谢文,杨云瑞,李利新,等.能效电厂降负荷核算方法的研究[J].供用电,2017(3):32-37.
[15]殷少奇.电网调控运行大数据存储与处理技术研究与应用分析[J].陕西电力,2016(11):47-50.
[16]王守相,葛磊蛟,张齐,等.配电网分布式能源接纳能力影响因素分析[J].供用电,2016(4):2-7.
[17]陈璟华,梁丽丽.计及不确定性和火电机组禁运域的含风电电力系统动态经济调度[J].陕西电力,2017(3):67-72.
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