考虑新能源接入对系统调峰性能影响的随机生产模拟算法
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摘要
针对新能源机组出力的随机性与波动性导致其消纳难的问题,利用一种基于等效电量函数法的随机生产模拟算法辅助新能源与常规能源的协调规划。首先,以多状态机组为基础,引入分段模拟体现新能源的时序性,克服传统等效电量函数法丢失时序信息的缺点。然后,在系统可靠性指标(LOLP和EENS)的基础上,提出两个描述系统调峰性能的指标——调峰容量不足概率与调峰电量不足期望值。最后,采用IEEE的RTS-86测试系统验证算法的准确性和可行性,以及探究风光能源接入对系统可靠性和调峰性能的影响。
The randomness and volatility of new energy cause difficulties in grid-connection and consumption. Based on the Equivalent Energy Function Method, a probabilistic production simulation algorithm is proposed, which helps to coordinate planning of new energy and conventional energy. Firstly, based on the multi-state model, segmented simulation is proposed to embody the timeliness of new energy, and the traditional Equivalent Energy Function Method's shortcoming of losing timing information is overcome. Secondly, based on the system reliability indices(LOLP and EENS), two indices describing the system's regulation performance are proposed, which includes Loss of Regulating Capacity Probability(LORCP) and Expected Regulating Energy Not Supplied(ERENS). Finally, the IEEE RTS-86 is applied to verify the accuracy and feasibility of the proposed algorithm and study the impact of wind and solar on system reliability and regulation.
The randomness and volatility of new energy cause difficulties in grid-connection and consumption. Based on the Equivalent Energy Function Method, a probabilistic production simulation algorithm is proposed, which helps to coordinate planning of new energy and conventional energy. Firstly, based on the multi-state model, segmented simulation is proposed to embody the timeliness of new energy, and the traditional Equivalent Energy Function Method's shortcoming of losing timing information is overcome. Secondly, based on the system reliability indices(LOLP and EENS), two indices describing the system's regulation performance are proposed, which includes Loss of Regulating Capacity Probability(LORCP) and Expected Regulating Energy Not Supplied(ERENS). Finally, the IEEE RTS-86 is applied to verify the accuracy and feasibility of the proposed algorithm and study the impact of wind and solar on system reliability and regulation.
引文
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[16]胡殿刚,潘正婕,徐昊亮,等.大规模可再生能源并网条件下天然气机组调峰空间估算[J].电力系统保护与控制,2017,45(3):87-93.HU Diangang,PAN Zhengjie,XU Haoliang,et al.Peaking capacity estimation of natural gas unit under the condition of large-scale renewable energy connecting with power grid[J].Power System Protection and Control,2017,45(3):87-93.
[17]唐权.电力系统电源规划模型及算法研究[D].武汉:华中科技大学,2006.TANG Quan.Research on models and algorithms of power system generation expansion planning[D].Wuhan:Huazhong University of Science and Technology,2006.
[18]吴冠男,张明理,徐建源,等.适用于评估风电接纳能力的时序生产模拟算法研究[J].电力系统保护与控制,2017,45(23):151-157.WU Guannan,ZHANG Mingli,XU Jianyuan,et al.Time series production algorithm for evaluating wind power accommodation capacity[J].Power System Protection and Control,2017,45(23):151-157.
[19]ALLAN R N,BILLINTON R,ABDEL-GAWAD N M K.The IEEE reliability test system-extensions to and evaluation of the generating system[J].IEEE Power Engineering Review,1986,PER-6(11):24-34.
[20]陈旭,杨雨瑶,张勇军,等.光伏光照概率性对配电网电压的影响[J].华南理工大学学报(自然科学版),2015,43(4):112-118.CHEN Xu,YANG Yuyao,ZHANG Yongjun,et al.Influence of illumination probability of photovoltaic system on voltage of power distribution networks[J].Journal of South China University of Technology(Natural Science Edition),2015,43(4):112-118.
[2]王彩霞,李琼慧,谢国辉.风电供热提高低谷风电消纳能力评估[J].中国电力,2013,46(12):100-106.WANG Caixia,LI Qionghui,XIE Guohui.Evaluation of wind power heating in facilitating wind power integration capability during valley load period[J].Electric Power,2013,46(12):100-106.
[3]王耀华,栗楠,元博,等.含大比例新能源的电力系统规划中“合理弃能”问题探讨[J].中国电力,2017,50(11):8-14.WANG Yaohua,LI Nan,YUAN Bo,et al.Discussion on the reasonable curtailment problems in highly renewable power system planning[J].Electric Power,2017,50(11):8-14.
[4]周强,汪宁渤,何世恩,等.高弃风弃光背景下中国新能源发展总结及前景探究[J].电力系统保护与控制,2017,45(10):146-154.ZHOU Qiang,WANG Ningbo,HE Shien,et al.Summary and prospect of China's new energy development under the background of high abandoned new energy power[J].Power System Protection and Control,2017,45(10):146-154.
[5]张节潭,程浩忠,胡泽春,等.含风电场的电力系统随机生产模拟[J].中国电机工程学报,2009,29(28):34-39.ZHANG Jietan,CHENG Haozhong,HU Zechun,et al.Power system probabilistic production simulation including wind farms[J].Proceedings of the CSEE,2009,29(28):34-39.
[6]陈亚博,盛戈皞,黎建,等.含光伏和风电的电力系统随机生产模拟[J].电力系统及其自动化学报,2015,27(5):1-6.CHEN Yabo,SHENG Gehao,LI Jian,et al.Probabilistic production simulation of power system with photovoltaic power and wind power[J].Proceedings of the CSU-EPSA,2015,27(5):1-6.
[7]张宏宇,方鑫,李碧辉,等.含大规模风光电源电力系统随机生产模拟[J].中国电力,2012,45(6):78-81.ZHANG Hongyu,FANG Xin,LI Bihui,et al.Probabilistic production simulation of power systems with large-scale wind and photovoltaic generation[J].Electric Power,2012,45(6):78-81.
[8]陈树勇,戴慧珠.含风电场的电力系统随机生产模拟[J].中国电力,2000,33(3):30-31.CHEN Shuyong,DAI Huizhu.Power system probabilistic production simulation including wind power plants[J].Electric Power,2000,33(3):30-31.
[9]张宁,康重庆,陈治坪,等.基于序列运算的风电可信容量计算方法[J].中国电机工程学报,2011,31(25):1-9.ZHANG Ning,KANG Chongqing,CHEN Zhiping,et al.Wind power credible capacity evaluation model based on sequence operation[J].Proceedings of the CSEE,2011,31(25):1-9.
[10]张宏宇.考虑调峰因素的风电规划研究[D].北京:中国电力科学研究院,2013.ZHANG Hongyu.Research on wind power integration planning considering peak-shaving factors[D].Beijing:China Electric Power Research Institute,2013.
[11]KARAKI S H,CHEDID R B,RAMADAN R.Probabilistic performance assessment of autonomous solar-wind energy conversion systems[J].IEEE Transactions on Energy Conversion,1999,14(3):766-772.
[12]TOPI M,BRECL K,SITES J.Effective efficiency of PVmodules under field conditions[J].Progress in Photovoltaics Research&Applications,2007,15(1):19-26.
[13]王锡凡.电力系统优化规划[M].北京:水利电力出版社,1990.
[14]于大洋,韩学山,梁军,等.基于NASA地球观测数据库的区域风电功率波动特性分析[J].电力系统自动化,2011,35(5):77-81.YU Dayang,HAN Xueshan,LIANG Jun,et al.Study on the profiling of China’s regional wind power fluctuation using GEOS-5 data assimilation system of National Aeronautics and Space Administration of America[J].Automation of Electric Power Systems,2011,35(5):77-81.
[15]张顺,葛智平,郭涛,等.大规模新能源接入后系统调峰能力与常规电源开机方式关系研究[J].电力系统保护与控制,2016,44(1):106-110.ZHANG Shun,GE Zhiping,GUO Tao,et al.Research on relationship between the capacity of systematic peak regulation and conventional power startup mode after access to large-scale new energy[J].Power System Protection and Control,2016,44(1):106-110.
[16]胡殿刚,潘正婕,徐昊亮,等.大规模可再生能源并网条件下天然气机组调峰空间估算[J].电力系统保护与控制,2017,45(3):87-93.HU Diangang,PAN Zhengjie,XU Haoliang,et al.Peaking capacity estimation of natural gas unit under the condition of large-scale renewable energy connecting with power grid[J].Power System Protection and Control,2017,45(3):87-93.
[17]唐权.电力系统电源规划模型及算法研究[D].武汉:华中科技大学,2006.TANG Quan.Research on models and algorithms of power system generation expansion planning[D].Wuhan:Huazhong University of Science and Technology,2006.
[18]吴冠男,张明理,徐建源,等.适用于评估风电接纳能力的时序生产模拟算法研究[J].电力系统保护与控制,2017,45(23):151-157.WU Guannan,ZHANG Mingli,XU Jianyuan,et al.Time series production algorithm for evaluating wind power accommodation capacity[J].Power System Protection and Control,2017,45(23):151-157.
[19]ALLAN R N,BILLINTON R,ABDEL-GAWAD N M K.The IEEE reliability test system-extensions to and evaluation of the generating system[J].IEEE Power Engineering Review,1986,PER-6(11):24-34.
[20]陈旭,杨雨瑶,张勇军,等.光伏光照概率性对配电网电压的影响[J].华南理工大学学报(自然科学版),2015,43(4):112-118.CHEN Xu,YANG Yuyao,ZHANG Yongjun,et al.Influence of illumination probability of photovoltaic system on voltage of power distribution networks[J].Journal of South China University of Technology(Natural Science Edition),2015,43(4):112-118.