基于成本最优的含储热光热电站与火电机组联合出力日前调度
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摘要
含储热光热发电的优势体现为良好的出力可控性和可调度性,合理调度光热发电能够有效降低系统运行成本。以成本最优为目标,从光热电站的光电转换特性分析角度出发,在计及各项运行约束的基础上,提出含储热光热电站与火电机组联合出力调度策略。该策略综合考虑火电机组发电成本、光热发电并网消纳的环境效益和运行维护成本、系统旋转备用成本以及电网安全运行约束等因素,从而确定光热电站在既定储热容量下的最优出力调度策略。基于遗传算法,通过IEEE 30节点算例验证了所提方法的可行性与有效性。
CSP( Concentrating Solar Power) with thermal storage systems is advantageous in terms of effective controllability and dispatch ability. Optimal dispatching of CSP contributes to reduced operation cost of the power system. To minimize the operation cost,combined optimal dispatch of CSP with thermal storage system and thermal power units is proposed with the consideration of solar power conversion characteristics and operation constraints. This strategy considers the generation cost of thermal unit,the environmental benefits and the operation and maintenance costs added by the connection of CSP to the grid,system spinning reserve cost,and secure operation constraints,for which the optimal dispatch strategy of CSP with given thermal storage is obtained. The model is solved using genetic algorithm,and the effectiveness of the proposed method is verified by simulative results of IEEE 30-bus system.
CSP( Concentrating Solar Power) with thermal storage systems is advantageous in terms of effective controllability and dispatch ability. Optimal dispatching of CSP contributes to reduced operation cost of the power system. To minimize the operation cost,combined optimal dispatch of CSP with thermal storage system and thermal power units is proposed with the consideration of solar power conversion characteristics and operation constraints. This strategy considers the generation cost of thermal unit,the environmental benefits and the operation and maintenance costs added by the connection of CSP to the grid,system spinning reserve cost,and secure operation constraints,for which the optimal dispatch strategy of CSP with given thermal storage is obtained. The model is solved using genetic algorithm,and the effectiveness of the proposed method is verified by simulative results of IEEE 30-bus system.
引文
[1]International Energy Agency(IEA). Concentrating solar power technology roadmap[R/OL].[2018-01-28]. http:∥www. iea. org/publications/freepublications/publication/csp_roadmap.pdf.
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[15]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.
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[18]郭志忠,叶瑞丽,刘瑞叶,等.含抽水蓄能电站的可再生能源电网优化调度策略[J].电力自动化设备,2018,38(3):1-8.GUO Zhizhong,YE Ruili,LIU Ruiye,et al. Optimal scheduling strategy for renewable energy system with pumped storage station[J].Electric Power Automation Equipment,2018,38(3):1-8.
[19]胡浩,王英瑞,曾博,等.基于CVaR理论的综合能源系统经济优化调度[J].电力自动化设备,2017,37(6):209-219.HU Hao,WANG Yingrui,ZENG Bo,et al. CVaR-based economic optimal dispatch of integrated energy system[J]. Electric Power Automation Equipment,2017,37(6):209-219.
[20]颜伟,李翔,梁文举,等.基于负荷分段技术的多目标月度发电计划及其遗传算法[J].电力自动化设备,2013,33(10):47-52.YAN Wei,LI Xiang,LIANG Wenju,et al. Multi-objective monthly generation scheduling based on load partition technology and its genetic algorithm[J]. Electric Power Automation Equipment,2013,33(10):47-52.
[21]RUDOLPH G. Convergence analysis of canonical genetic algorithms[J]. IEEE Transactions on Neural Networks,1994,5(1):96-101.
[22]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.
[23]DOMNGUEZ R,CONEJO A J,CARRIN M. Operation of a fully renewable electric energy system with CSP plants[J]. Applied Energy,2014,119(12):417-430.
[24]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.
[2]杜尔顺,张宁,康重庆,等.太阳能光热发电并网运行及优化规划研究综述与展望[J].中国电机工程学报,2016,36(21):5765-5775.DU Ershun,ZHANG Ning,KANG Chongqing,et al. Reviews and prospects of the operation and planning optimization for grid integrated concentrating solar power[J]. Proceedings of the CSEE,2016,36(21):5765-5775.
[3]崔杨,张超,穆钢,等.基于能耗费用评估的电网最优风电接纳功率分析[J].电网技术,2014,38(8):2174-2179.CUI Yang,ZHANG Chao,MU Gang,et al. Analysis on power grid's optimal accommodation of wind power based on energy cost assessment[J]. Power System Technology,2014,38(8):2174-2179.
[4]于娜,李铁松.计及风电不确定性的虚拟电厂优化调度[J].东北电力大学学报,2017,37(5):14-18.YU Na,LI Tiesong. Optimal scheduling of virtual power plant considering wind power uncertainty[J]. Journal of Northeast Electric power University,2017,37(5):14-18.
[5]贾祺,严干贵,李泳霖,等.新型多端输入光伏并网系统运行控制策略[J].电力自动化设备,2017,37(10):43-48.JIA Qi,YAN Gangui,LI Yonglin,et al. Operation control strategy of novel multi-input grid-connected PV system[J]. Electric Power Automation Equipment,2017,37(10):43-48.
[6]LUO Q,ARIYUR K B,MATHUR A K. Control-oriented concentrated solar power plant model[J]. IEEE Transactions on Control Systems Technology,2016,24(2):623-635.
[7]COCCO D,SERRA F. Performance comparison of two-tank direct and thermocline thermal energy storage systems for 1 MWe class concentrating solar power plants[J]. Energy,2015,81:526-536.
[8]ABUTAYEH M,ALAZZAM A,KHASAWNEH B. Optimizing thermal energy storage operation[J]. Solar Energy,2015,120(678):318-329.
[9]USAOLA J. Operation of concentrating solar power plants with storage in spot electricity markets[J]. IET Renewable Power Generation,2012,6(1):59-66.
[10]SIOSHANSI R,DENHOLM P. The value of concentrating solar power and thermal energy storage[J]. IEEE Transactions on Sustainable Energy,2010,1(3):173-183.
[11]DESIDERI U,CAMPANA P E. Analysis and comparison between a concentrating solar and a photovoltaic power plant[J]. Applied Energy,2014,133(113):422-433.
[12]BRAND B. STAMBOULI A B. ZEJLI D. The value of dispatchability of CSP plants in the electricity systems of Morocco and Algeria[J].Energy Policy,2012,47(10):321-331.
[13]MADAENI S H,SIOSHANSI R,DENHOLM P. Estimating the capacity value of concentrating solar power plants with thermal energy storage:a case study of the southwestern United States[J]. IEEE Transactions on Power Systems,2013,28(2):1205-1215.
[14]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 Systems,2017,32(2):1260-1271.
[15]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.
[16]徐二树,高维,徐蕙,等.八达岭塔式太阳能热发电蒸汽蓄热器动态特性仿真[J].中国电机工程学报,2012,32(8):112-117,157.XU Ershu,GAO Wei,XU Hui,et al. Simulation of dynamic characteristics of steam accumulators in the Badaling solar power tower plant[J]. Proceedings of the CSEE,2012,32(8):112-117,157.
[17]晋宏杨,孙宏斌,郭庆来,等.含大规模储热的光热电站-风电联合系统多日自调度方法[J].电力系统自动化,2016,40(11):17-23.JIN Hongyang,SUN Hongbin,GUO Qinglai,et al. Multi-day selfscheduling method for combined system of CSP plants and wind power with large-scale thermal energy storage contained[J]. Automation of Electric Power Systems,2016,40(11):17-23.
[18]郭志忠,叶瑞丽,刘瑞叶,等.含抽水蓄能电站的可再生能源电网优化调度策略[J].电力自动化设备,2018,38(3):1-8.GUO Zhizhong,YE Ruili,LIU Ruiye,et al. Optimal scheduling strategy for renewable energy system with pumped storage station[J].Electric Power Automation Equipment,2018,38(3):1-8.
[19]胡浩,王英瑞,曾博,等.基于CVaR理论的综合能源系统经济优化调度[J].电力自动化设备,2017,37(6):209-219.HU Hao,WANG Yingrui,ZENG Bo,et al. CVaR-based economic optimal dispatch of integrated energy system[J]. Electric Power Automation Equipment,2017,37(6):209-219.
[20]颜伟,李翔,梁文举,等.基于负荷分段技术的多目标月度发电计划及其遗传算法[J].电力自动化设备,2013,33(10):47-52.YAN Wei,LI Xiang,LIANG Wenju,et al. Multi-objective monthly generation scheduling based on load partition technology and its genetic algorithm[J]. Electric Power Automation Equipment,2013,33(10):47-52.
[21]RUDOLPH G. Convergence analysis of canonical genetic algorithms[J]. IEEE Transactions on Neural Networks,1994,5(1):96-101.
[22]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.
[23]DOMNGUEZ R,CONEJO A J,CARRIN M. Operation of a fully renewable electric energy system with CSP plants[J]. Applied Energy,2014,119(12):417-430.
[24]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.