计及综合成本的风电–光伏–光热联合出力调度策略
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摘要
以风电、光伏、光热发电为主的新能源发电发展迅速,多种新能源发电同时并网运行的联合出力调度问题亟待解决。在计及综合成本的前提下,兼顾电网运行约束,提出风电、光伏及光热联合出力调度策略。该调度策略综合考虑火电机组发电成本、风电、光伏发电与光热发电并网消纳的环境效益和运行维护成本、系统旋转备用成本、调峰容量购买成本以及电网安全运行约束等因素。最后,基于遗传算法求解模型,通过IEEE-30节点算例验证了该方法的有效性。仿真结果表明,该调度模型较之对比模型的综合成本降低了5.46%,该方法能合理调度各发电形式,保证电网运行的安全性与经济性。
The development of new energy power generation represented by wind power, photovoltaic power and concentrating solar power is developing rapidly, and the problem of integrated scheduling in which a variety of new energy power generation runs at the same time needs to be solved. Consequently, considering comprehensive costs as the precondition, and taking the operating security constraints of power grid into consideration, we put forward a strategy of joint operation about wind power-photovoltaic power-concentrating solar power. Such factors as the generation cost of fossil power generation units, the benefit and operation and maintenance costs from environment of wind power, photovoltaic power and concentrating solar power, the costs of spinning reserve and purchasing peaking load regulation capacity, and operating security constraints of power grid are synthetically considered. Finally, the proposed model is solved by genetic algorithm, and the effectiveness of the proposed method is verified by a simulated example of IEEE 30-bus system. Analysis of examples shows that the cost of the scheduling model which is proposed in this paper will reduce by 5.46% compared with that of the comprehensive comparison model, so the proposed method can dispatch each power generation mode reasonably, and ensure the safety and economy of power grid operation.
The development of new energy power generation represented by wind power, photovoltaic power and concentrating solar power is developing rapidly, and the problem of integrated scheduling in which a variety of new energy power generation runs at the same time needs to be solved. Consequently, considering comprehensive costs as the precondition, and taking the operating security constraints of power grid into consideration, we put forward a strategy of joint operation about wind power-photovoltaic power-concentrating solar power. Such factors as the generation cost of fossil power generation units, the benefit and operation and maintenance costs from environment of wind power, photovoltaic power and concentrating solar power, the costs of spinning reserve and purchasing peaking load regulation capacity, and operating security constraints of power grid are synthetically considered. Finally, the proposed model is solved by genetic algorithm, and the effectiveness of the proposed method is verified by a simulated example of IEEE 30-bus system. Analysis of examples shows that the cost of the scheduling model which is proposed in this paper will reduce by 5.46% compared with that of the comprehensive comparison model, so the proposed method can dispatch each power generation mode reasonably, and ensure the safety and economy of power grid operation.
引文
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[12]邹云阳,杨莉.基于经典场景集的风光水虚拟电厂协同调度模型[J].电网技术,2015,39(7):1855-1859.ZOU Yunyang,YANG Li.Synergetic dispatch models of a wind/PV/hydro virtual power plant based on representative scenario set[J].Power System Technology,2015,39(7):1855-1859.
[13]SIOSHANSI R,DENHOLM P.Benefits of collocating concentrating solar power and wind[J].IEEE Transactions on Sustainable Energy,2013,4(4):877-885.
[14]马静,石建磊,李文泉,等.基于功率多频率尺度分析的风光水气储联合系统日前调度策略[J].电网技术,2013,37(6):1491-1498.MA Jing,SHI Jianlei,LI Wenquan,et al.A day-ahead dispatching strategy for power pool composed of wind farms,photovoltaic generations,pumped-storage power stations,gas turbine power plants and energy storage systems based on multi frequency scale analysis[J].Power System Technology,2013,37(6):1491-1498.
[15]XU T,ZHANG N.Coordinated operation of concentrated solar power and wind resources for the provision of energy and reserve services[J].IEEE Transactions on Power System,2017,32(2):1260-1271.
[16]郑超,李顺昕,李惠玲,等.双馈风机机电暂态模型及规模化风光并网系统受扰特性[J].高电压技术,2017,43(3):1023-1033.ZHENG Chao,LI Shunxin,LI Huiling,et al.Electromechanical transient simulation model of double fed induction generator and disturbed characteristic of scale wind/photovoltaic hybrid system[J].High Voltage Engineering,2017,43(3):1023-1033.
[17]齐志远,王生铁,田桂珍.风光互补发电系统的协调控制[J].太阳能学报,2010,31(5):654-660.QI Zhiyuan,WANG Shengtie,TIAN Guizhen.Coordination control of wind/PV hybrid system[J].Acta Energiae Solaris Sinica,2010,31(5):654-660.
[18]DU E,ZHANG N,KANG C,et al.Exploring the flexibility of CSP for wind power integration using interval optimization[C]//IEEE PESGeneral Meeting.Denver,USA:IEEE,2016:1-5.
[19]崔杨,陈志,严干贵,等.基于含储热热电联产机组与电锅炉的弃风消纳协调调度模型[J].中国电机工程学报,2016,36(15):4072-4080.CUI Yang,CHEN Zhi,YAN Gangui.et al.Coordinated wind power accommodating dispatch model based on electric boiler and CHP with thermal energy storage[J].Proceedings of the CSEE,2016,36(15):4072-4080.
[20]刘淳安.动态多目标优化进化算法及其应用[M].北京:科学出版社,2011:25-32.LIU Chun’an.Dynamic multi-objective optimization evolutionary algorithm and its application[M].Beijing,China:Science Press,2011:25-32.
[21]杨天,王京波,宋少帅,等.考虑风速相关性的电力系统动态经济调度[J].电工技术学报,2016,31(16):189-197.YANG Tian,WANG Jingbo,SONG Shaoshuai,et al.Dynamic economic dispatch of power system considering the correlation of the wind speed[J].Transactions of China Electrotechnical Society,2016,31(16):189-197.
[22]DOMíNGUEZ R,CONEJO A J,CARRIóN M.Operation of a fully renewable electric energy system with CSP plants[J].Applied Energy,2014,119(12):417-430.
[2]陈润泽,孙宏斌,李正烁,等.含储热光热电站的电网调度模型与并网效益分析[J].电力系统自动化,2014,38(19):1-7.CHEN Runze,SUN Hongbin,LI Zhengshuo,et al.Analysis of grid dispatching model and grid-connected benefit of concentrating solar power plant with heat storage[J].Automation of Electric Power Systems,2014,38(19):1-7.
[3]严干贵,王月,李军徽,等.匹配风电接纳可行域的储能系统控制方法及其经济性评估[J].高电压技术,2015,41(7):2148-2155.YAN Gangui,WANG Yue,LI Junhui,et al.Control methods and economic evaluation of energy storage system to match feasible area of wind power[J].High Voltage Engineering,2015,41(7):2148-2155.
[4]张亚超,刘开培,秦亮,等.计及柔性资源的含风电场电力系统多目标动态协调调度[J].高电压技术,2017,43(4):1186-1193.ZHANG Yachao,LIU Kaipei,QIN Liang,et al.Multi-objective dynamic coordination dispatching for power systems with wind farms considering flexible resources[J].High Voltage Engineering,2017,43(4):1186-1193.
[5]刘皓明,陆丹,杨波,等.可平抑高渗透分布式光伏发电功率波动的储能电站调度策略[J].高电压技术,2015,41(10):3213-3223.LIU Haoming,LU Dan,YANG Bo,et al.Dispatch strategy of energy storage station to smooth power fluctuations of high penetration photovoltaic generation[J].High Voltage Engineering,2015,41(10):3213-3223.
[6]杨德友,温佳鑫,陈家荣,等.用于提高风电场可调度性的储能系统预测控制策略[J].高电压技术,2017,43(3):1043-1048.YANG Deyou,WEN Jiaxin,CHEN Jiarong,et al.Smoothing and dispatching the output of wind/battery energy storage hybrid system via model prediction control[J].High Voltage Engineering,2017,43(3):1043-1048.
[7]胡鹏飞,李勇.地热-太阳能联合有机朗肯循环发电技术研究[J].东北电力大学学报,2015,35(5):41-45.HU Pengfei,LI Yong.Solar-geothermal hybrid cycle of organic Rankine cycle(orc)analysis in power generation[J].Journal of Northeast Electric Power University,2015,35(5):41-45.
[8]冉晓洪,苗世洪,刘阳升,等.考虑风光荷联合作用下的电力系统经济调度建模[J].中国电机工程学报,2014,34(16):2552-2560.RAN Xiaohong,MIAO Shihong,LIU Yangsheng,et al.Modeling of economic dispatch of power system considering joint effect of wind power,solar energy and load[J].Proceedings of the CSEE,2014,34(16):2552-2560.
[9]SANTOS-ALAMILLOS F J,POZO-VáZQUEZ D,RUIZ-ARIAS J A,et al.Combining wind farms with concentrating solar plants to provide stable renewable power[J].Renewable Energy,2015,76(4):539-550.
[10]CHEN R,SUN H,GUO Q,et al.Reducing generation uncertainty by integrating CSP with wind power:an adaptive robust optimization-based analysis[J].IEEE Transactions on Sustainable Energy,2015,6(2):583-594.
[11]汪海瑛,白晓民,许婧.考虑风光储协调运行的可靠性评估[J].中国电机工程学报,2012,32(13):13-20,186.WANG Haiying,BAI Xiaomin,XU Jing.Reliability assessment considering the coordination of wind power,solar energy and energy storage[J].Proceedings of the CSEE,2012,32(13):13-20,186.
[12]邹云阳,杨莉.基于经典场景集的风光水虚拟电厂协同调度模型[J].电网技术,2015,39(7):1855-1859.ZOU Yunyang,YANG Li.Synergetic dispatch models of a wind/PV/hydro virtual power plant based on representative scenario set[J].Power System Technology,2015,39(7):1855-1859.
[13]SIOSHANSI R,DENHOLM P.Benefits of collocating concentrating solar power and wind[J].IEEE Transactions on Sustainable Energy,2013,4(4):877-885.
[14]马静,石建磊,李文泉,等.基于功率多频率尺度分析的风光水气储联合系统日前调度策略[J].电网技术,2013,37(6):1491-1498.MA Jing,SHI Jianlei,LI Wenquan,et al.A day-ahead dispatching strategy for power pool composed of wind farms,photovoltaic generations,pumped-storage power stations,gas turbine power plants and energy storage systems based on multi frequency scale analysis[J].Power System Technology,2013,37(6):1491-1498.
[15]XU T,ZHANG N.Coordinated operation of concentrated solar power and wind resources for the provision of energy and reserve services[J].IEEE Transactions on Power System,2017,32(2):1260-1271.
[16]郑超,李顺昕,李惠玲,等.双馈风机机电暂态模型及规模化风光并网系统受扰特性[J].高电压技术,2017,43(3):1023-1033.ZHENG Chao,LI Shunxin,LI Huiling,et al.Electromechanical transient simulation model of double fed induction generator and disturbed characteristic of scale wind/photovoltaic hybrid system[J].High Voltage Engineering,2017,43(3):1023-1033.
[17]齐志远,王生铁,田桂珍.风光互补发电系统的协调控制[J].太阳能学报,2010,31(5):654-660.QI Zhiyuan,WANG Shengtie,TIAN Guizhen.Coordination control of wind/PV hybrid system[J].Acta Energiae Solaris Sinica,2010,31(5):654-660.
[18]DU E,ZHANG N,KANG C,et al.Exploring the flexibility of CSP for wind power integration using interval optimization[C]//IEEE PESGeneral Meeting.Denver,USA:IEEE,2016:1-5.
[19]崔杨,陈志,严干贵,等.基于含储热热电联产机组与电锅炉的弃风消纳协调调度模型[J].中国电机工程学报,2016,36(15):4072-4080.CUI Yang,CHEN Zhi,YAN Gangui.et al.Coordinated wind power accommodating dispatch model based on electric boiler and CHP with thermal energy storage[J].Proceedings of the CSEE,2016,36(15):4072-4080.
[20]刘淳安.动态多目标优化进化算法及其应用[M].北京:科学出版社,2011:25-32.LIU Chun’an.Dynamic multi-objective optimization evolutionary algorithm and its application[M].Beijing,China:Science Press,2011:25-32.
[21]杨天,王京波,宋少帅,等.考虑风速相关性的电力系统动态经济调度[J].电工技术学报,2016,31(16):189-197.YANG Tian,WANG Jingbo,SONG Shaoshuai,et al.Dynamic economic dispatch of power system considering the correlation of the wind speed[J].Transactions of China Electrotechnical Society,2016,31(16):189-197.
[22]DOMíNGUEZ R,CONEJO A J,CARRIóN M.Operation of a fully renewable electric energy system with CSP plants[J].Applied Energy,2014,119(12):417-430.