Considering the wind - light - joint pumped storage power generation system low output due to the fact that each part is of low output, and to improve particle swarm gravitation hybrid algorithm, inertia weight and chaos algorithm were introduced into the traditional particle swarm algorithm of gravity. The capability and precision of the traditional algorithm optimization were Improved. precision is not high.The improved particle swarm gravitation algorithm is applied to a practical engineering example to optimize the output of each part of the co-generation system and obtain the maximum economic benefit.The results show that the improved algorithm has the best accuracy and the shortest iteration times. After the optimization of the output of each part of the joint generation system, the largest economic benefits were achieved.
YANG Sen
,
ZHANG Qing
,
Gao Liai
. Optimal operation of wind-light-pumped storage combined power generation system[J]. Journal of Hebei University(Natural Science Edition), 2021
, 41(1)
: 106
-112
.
DOI: 10.3969/j.issn.1000-1565.2021.01.016
[1] 张宁,康重庆,肖晋宁,等.风电容量可信度研究综述与展望[J].中国电机工程学报,2015,35(1):82-94.DOI:10.13334/j.0258-8013.pcsee.2015.01.011.
[2] AEIDAPU M, KANWARJIT S S. Hybrid wind/photovoltaic energy system developments: critical review and findings[J]. Renewable and Sustainable Energy Reviews, 2015, 52: 1135-1147.DOI:10.1016/j.rser.2015.08.008.
[3] 丁明,王伟胜,王秀丽,等.大规模光伏发电对电力系统影响综述[J].中国电机工程学报,2014,34(1):1-14.DOI:10.13334/j.0258-8013.pcsee.2014.01.001.
[4] 邹金,赖旭,汪宁渤.以减少电网弃风为目标的风电与抽水蓄能协调运行[J].电网技术,2015,39(9):2472-2477.DOI:10.13335/j.1000-3673.pst.2015.09.015.
[5] 王辉,崔建勇.对应光伏并网的抽水蓄能电站优化运行[J].电网技术,2014,38(8):2095-2101.DOI:10.13335/j.1000-3673.pst.2014.08.012.
[6] BUENO C, CARTA J A. Technical-economic analysis of wind-powered pumped hydro storagesystems[J]. Solar Energy, 2005,78(3): 382-405.
[7] 郭伟钊.抽水蓄能、风力和光伏电站群联合运行研究[D].北京:华北电力大学,2011.
[8] 吕优.风-光-抽水蓄能联合发电系统优化调度研究[D].西安:西安理工大学,2018.
[9] 马实一.风电-光伏-抽水蓄能联合优化运行模型建立与应用[J].供用电,2018, 35(1): 80-85.DOI:10.19421/j.cnki.1006-6357.2018.01.014.
[10] 马实一,李建成,段聪,等.基于电力市场背景的风-光-抽水蓄能联合优化运行[J].新能源,2019,47(8): 43-49.
[11] 李鹏,徐伟娜,周泽远,等.基于改进万有引力搜索算法的微网优化运行[J].中国电机工程学报,2014,34(19):3073-3079.DOI:10.13334/j.0258-8013.pcsee.2014.19.005.
[12] 钱晨昊.抽水蓄能与风光联合运行成本效益研究[D].北京:华北电力大学,2018.
[13] RASHEDI E, NEZAMABADI-POUR H, SARYZZDI S. GSA: A gravitational search algorithm [J]. Information sciences, 2009, 179(13): 2232-2248.DOI:10.1016/j.ins.2009.03.004.
[14] MIRJALILI S, LWEIS A. Adaptive gbest-guided gravitational search algorithm [J]. Neural Computing and Application, 2014, 25(7/8): 1-16.DOI:10.1007/s00521-014-1640-y
[15] 马力,刘丽涛.万有引力搜索算法的分析与改进[J].微电子学与计算机,2015,32(9):76-80.DOI:10.19304/j.cnki.issn1000-7180.2015.09.015. (
