含抽蓄电站的多端柔性直流电网风光接入容量配比优化方法
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摘要
针对含风、光、抽蓄电站的多端柔性直流电网,协调规划其风光接入容量配比,可以充分利用不同类型电源的互补作用,实现大规模新能源的平稳送出和消纳。提出基于时序生产模拟的多端柔性直流电网风光接入容量配比优化方法,以发电清洁性最优为目标,综合考虑柔性直流电网运行限制、新能源弃电率、负荷调峰需求和抽蓄电站运行限制等约束条件,建立适应于多端柔性直流电网的风光接入容量配比优化模型。以新能源全年出力为输入,通过时序生产模拟仿真开展模型优化计算,确定各送端换流站的风光最优接入容量配比。以某四端柔性直流电网为例开展仿真测试,结果显示所提出模型能够充分利用风光的互补作用和抽蓄电站的调节作用得到最优的风光接入容量配比,验证了所提方法的有效性和工程实用性。
In order to fully utilize the complementary characteristics between wind and solar power sources and reduce the fluctuations of renewable energy power generation, it is necessary to coordinately optimize the wind and solar power capacity proportion integrated in the multi-terminal voltage sourced converter high voltage direct current(VSC-HVDC) system. A method based on time sequence simulation is proposed to optimize the wind and solar power capacity proportion integrated in the multiterminal VSC-HVDC system with a pumped storage power station. An optimization model is built aiming at maximizing the renewable energy power generation, which takes into account such constraint conditions as the operation modes of the VSC-HVDC system, the curtailment ratio of renewable energy, the system peak shaving demand and the operation limit of the pumped storage power stations. The annual outputs of the renewable energy are incorporated as inputs, the time sequence simulation is carried out to optimize the capacity proportion of wind and solar power. The proposed method is tested on a four-terminal VSC-HVDC system with a pumped storage power station. The testing results show that the proposed method can obtain the optimal wind and solar power capacity proportion integrated in the VSC-HVDC system, consequently realizing the objective of maximal utilization of renewable energy. The case study verifies the effectiveness and applicability of the proposed method, and can provide a useful guidance on planning renewable energy and the VSC-HVDC system.
In order to fully utilize the complementary characteristics between wind and solar power sources and reduce the fluctuations of renewable energy power generation, it is necessary to coordinately optimize the wind and solar power capacity proportion integrated in the multi-terminal voltage sourced converter high voltage direct current(VSC-HVDC) system. A method based on time sequence simulation is proposed to optimize the wind and solar power capacity proportion integrated in the multiterminal VSC-HVDC system with a pumped storage power station. An optimization model is built aiming at maximizing the renewable energy power generation, which takes into account such constraint conditions as the operation modes of the VSC-HVDC system, the curtailment ratio of renewable energy, the system peak shaving demand and the operation limit of the pumped storage power stations. The annual outputs of the renewable energy are incorporated as inputs, the time sequence simulation is carried out to optimize the capacity proportion of wind and solar power. The proposed method is tested on a four-terminal VSC-HVDC system with a pumped storage power station. The testing results show that the proposed method can obtain the optimal wind and solar power capacity proportion integrated in the VSC-HVDC system, consequently realizing the objective of maximal utilization of renewable energy. The case study verifies the effectiveness and applicability of the proposed method, and can provide a useful guidance on planning renewable energy and the VSC-HVDC system.
引文
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[15] BEDDARD A, BARNES M, PREECE R. Comparison of detailed modeling techniques for MMC employed on VSC-HVDC schemes[J]. IEEE Transactions on Power Delivery, 2014,30(2):579-589.
[16]李驰,刘纯,黄越辉,等.基于波动特性的风电出力时间序列建模方法研究[J].电网技术,2015, 39(1):208-214.LI Chi, LIU Chun, HUANG Yuehui, et al. Study on modeling method of wind power time series based on fluctuation characteristics[J]. Power System Technology, 2015, 39(1):208-214.
[17] LI C, LI C, HUANG Y H, et al. Research on analysis method for photovoltaic power considering weather type[C]//International Conference on Renewable Power Generation. 2015:5-10.
[18] FU Y, WANG C H, TIAN W, et al. Integration of large-scale offshore wind energy via VSC-HVDC in day-ahead scheduling[J].IEEE Trans on Sustainable Energy, 2016, 7(2):535-545.
[19]徐飞,陈磊,金和平,等.抽水蓄能电站与风电的联合优化运行建模及应用分析[J].电力系统自动化,2013, 37(10):149-154.XU Fei, CHEN Lei, JIN Heping, et al. Modeling and application analysis of optimal joint operation of pumped storage power station and wind power[J]. Automation of Electric Power Systems, 2013,37(10):149-154.
[20] RICHARD E R. GAMS-A user's guide[R]. Washington DC:GAMS Development Corporation, 2014.
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[22]丁明,楚明娟,毕锐,等.基于序贯蒙特卡洛随机生产模拟的风电接纳能力评价方法及应用[J].电力自动化设备,2016, 36(9):67-73.DING Ming, CHU Mingjiao, BI Rui,et al. Wind poweraccommodation capability evaluation based on sequential Monte Carlo probabilistic production simulation and its application[J].Electric Power Automation Equipment, 2016, 36(9):67-73.
[23]李驰.基于波动特性的新能源出力时间序列建模方法研究[D].北京:中国电力科学研究院,2015:67-72.Li Chi. Study on modeling method of new energy power time series based on fluctuation characteristics, 2015:67-72.
[2]汤广福,罗湘,魏晓光.多端直流输电与直流系统技术[J].中国电机工程学报,2013, 33(10):8-17.TANG Guangfu, LUO Xiang, WEI Xiaoguang. Multi-terminal HVDC and DC-grid technology[J]. Proceedings of the CSEE, 2013,33(10):8-17.
[3]姚良忠,吴婧,王志冰,等.未来高压直流电网发展形态分析[J].中国电机工程学报,2014, 34(34):6007-6020.YAO Liangzhong, WU Jing, WANG Zhibing, et al. Multi-terminalHVDC and DC-grid technology[J]. Proceedings of the CSEE, 2014,34(34):6007-6020.
[4]韩亮,白小会,陈波,等.张北±500 kV柔性直流电网换流站控制保护系统设计[J].电力建设,2017, 38(3):42-47.HAN Liang, BAI Xiaohui, CHEN Bo, et al. Control and protection system design of Zhangbei±500 kV converter station in VSC-HVDC power grid[J]. Electric Power Construction, 2017, 38(3):42-47.
[5]李英彪,卜广全,王姗姗,等.张北柔直电网工程直流线路短路过程中直流过电压分析[J].中国电机工程学报,2017, 37(12):3391-3399.LI Yingbiao, BU Guangquan, WANG Shanshan, et al. Analysis of DC overvoltage caused by DC short-circuit fault in Zhangbei VSCbased DC grid[J]. Proceedings of the CSEE,2017,37(12):3391-3399.
[6]舒印彪,张智刚,郭剑波,等.新能源消纳关键因素分析及解决措施研究[J].中国电机工程学报,2017, 37(1):1-8.SHU Yinbiao, ZHANG Zhigang, GUO Jianbo, et al. Study on key factors and solution of renewable energy accommodation[J].Proceedings of the CSEE,2017, 37(1):1-8.
[7] International Renewable Energy Agency. Planning for the renewable future[R]. 2017.
[8]曹阳,黄越辉,袁越.基于时序仿真的风光容量配比分层优化算法[J].中国电机工程学报,2015, 35(5):1072-1078.CAO Yang, HUANG Yuehui, YUAN Yue, et al. Stratified optimization algorithm for optimal proportion of wind and solar capacity based on time sequence simulation[J]. Proceedings of the CSEE,2015, 35(5):1072-1078.
[9] MWEEICK J H. On representation of temporal variability in electricity capacity planning models[J]. Energy Economics, 2016, 59:261-274.
[10] ZONG W G. Size optimization for a hybrid photovoltaic-wind energy system[J]. Electric Power and Energy Systems, 2012, 42:448-451.
[11] MOHAMMED A, MARIO C, GIUSEPPE S, et al. Multicriteria optimal sizing of photovoltaic-wind turbine grid connected systems[J]. IEEE Trans on Energy Conversion, 2013,28(2):370-379.
[12]姚天亮,吴兴全,李志伟,等.计及多约束条件的风光互补容量配比研究[J].电力系统保护与控制,2017, 45(9):126-132.YAO Tianliang,WU Xingquan, LI Zhiwei. Research on complementary capacity ratio of wind power and photovoltaic considering multiple constraints[J]. Power System Protection and Control, 2017, 45(9):126-132.
[13]宋洪磊,吴俊勇,冀鲁豫,等.风光互补独立供电系统的多目标优化设计[J].电工技术学报,2011,26(7):104-111.SONG Honglei, WU Junyong, JI Luyu, et al. Multi-objective optimal sizing of stand-alone hybrid wind/PV system[J]. Transactions of China Electrotechnical Society, 2011, 26(7):104-111.
[14]曾鸣,杨雍琦,王雨晴,等.基于蒙特卡罗方法的电力系统电源侧协调规划模拟仿真研究[J].华北电力大学学报,2016, 43(5):94-104.ZENG Ming, YANG Yongqi, WANG Yuqing, et al. Generation side coordinative power system planning simulation based on Monte Carlo method[J]. Journal of North China Electric Power University,2016, 43(5):94-104.
[15] BEDDARD A, BARNES M, PREECE R. Comparison of detailed modeling techniques for MMC employed on VSC-HVDC schemes[J]. IEEE Transactions on Power Delivery, 2014,30(2):579-589.
[16]李驰,刘纯,黄越辉,等.基于波动特性的风电出力时间序列建模方法研究[J].电网技术,2015, 39(1):208-214.LI Chi, LIU Chun, HUANG Yuehui, et al. Study on modeling method of wind power time series based on fluctuation characteristics[J]. Power System Technology, 2015, 39(1):208-214.
[17] LI C, LI C, HUANG Y H, et al. Research on analysis method for photovoltaic power considering weather type[C]//International Conference on Renewable Power Generation. 2015:5-10.
[18] FU Y, WANG C H, TIAN W, et al. Integration of large-scale offshore wind energy via VSC-HVDC in day-ahead scheduling[J].IEEE Trans on Sustainable Energy, 2016, 7(2):535-545.
[19]徐飞,陈磊,金和平,等.抽水蓄能电站与风电的联合优化运行建模及应用分析[J].电力系统自动化,2013, 37(10):149-154.XU Fei, CHEN Lei, JIN Heping, et al. Modeling and application analysis of optimal joint operation of pumped storage power station and wind power[J]. Automation of Electric Power Systems, 2013,37(10):149-154.
[20] RICHARD E R. GAMS-A user's guide[R]. Washington DC:GAMS Development Corporation, 2014.
[21]韩民晓,ABDALLA O H.可变速抽水蓄能发电技术应用与进展[J].科技导报,2013, 31(16):69-75.HAN Minxiao, ABDALLA O H. Progress in the power generation technology with variable speed pump storage and its applications[J].Science&Technology Review, 2013, 31(16):69-75.
[22]丁明,楚明娟,毕锐,等.基于序贯蒙特卡洛随机生产模拟的风电接纳能力评价方法及应用[J].电力自动化设备,2016, 36(9):67-73.DING Ming, CHU Mingjiao, BI Rui,et al. Wind poweraccommodation capability evaluation based on sequential Monte Carlo probabilistic production simulation and its application[J].Electric Power Automation Equipment, 2016, 36(9):67-73.
[23]李驰.基于波动特性的新能源出力时间序列建模方法研究[D].北京:中国电力科学研究院,2015:67-72.Li Chi. Study on modeling method of new energy power time series based on fluctuation characteristics, 2015:67-72.