|
|
|
| Analysis on optimized operation of pumped storage power station based on gurobi |
| Zhang Jinwei, Gu Xiufang |
| Inner Mongolia University of Technology, Inner Mongolia 010100 |
|
|
|
|
Abstract After pumped storage units join the system, it can use its own ability of adjusting the peak valley to improve the system economy, and reduce coal consumption. Based on the data of a certain power grid, this paper discusses the advantages of the pumped storage power station with the minimum operating cost of the system and the optimized model is built considering the constraints of the system. The experiment based on Matlab, and the compiler calls Gurobi software to solve. The optimization results show that the pumped storage power station can track the change of the load well, reduce the coal consumption and improve the economy of the system. At the same time, it verifies the feasibility and practicability of Gurobi optimization software in the optimal operation of power system.
|
|
Received: 12 July 2017
Published: 07 February 2018
|
|
|
|
| Cite this article: |
|
Zhang Jinwei,Gu Xiufang. Analysis on optimized operation of pumped storage power station based on gurobi[J]. Electrical Engineering, 2018, 19(2): 22-26.
|
|
|
|
| URL: |
|
http://dqjs.cesmedia.cn/EN/Y2018/V19/I2/22
|
[1] Wang H, Jun L I, Jiang H, et al. Design of the Control Sequence for Monitoring and Control System of Pushihe Pumped Storage Power Station[J]. Hydropower Automation & Dam Monitoring, 2010, 1: 329-331.
[2] 何永秀, 关雷, 蔡琪, 等. 抽水蓄能电站在电网中的保安功能与效益分析[J]. 电网技术, 2004, 28(20): 54-57, 67.
[3] 肖白, 丛晶, 高晓峰, 等. 风电-抽水蓄能联合系统综合效益评价方法[J]. 电网技术, 2014, 38(2): 400- 404.
[4] 程诗明, 郭明宇, 贺儒飞. 基于实测信号的抽水蓄能机组频率自适应算法研究[J]. 电气技术, 2017, 18(4): 106-109.
[5] 冯凌云, 邱小波, 吴昊. 抽水蓄能机组调速系统动态仿真平台的设计与开发[J]. 电气技术, 2015, 16(12): 98-101.
[6] 徐得潜, 翟国寿. 抽水蓄能电站与火电站配合运行优化模型研究[J]. 水力发电学报, 1996(4): 11-20.
[7] 丘文千. 抽水蓄能电站及其系统运行优化的概率模拟算法[J]. 电网技术, 2006, 30(15): 95-100.
[8] 柴大鹏, 成欢, 葛宇剑, 等. 火电—抽水蓄能联合运营系统的效益分析及优化算法研究[J]. 华东电力, 2014, 42(5): 1012-1019.
[9] 丘文千. 抽水蓄能电站日调节与周调节方式运行优化模型[J]. 水电自动化与大坝监测, 2004, 28(5): 51-54.
[10] 丘文千. 抽水蓄能电站运行优化的动态规划模型[J].
水电自动化与大坝监测, 2005, 29(6): 6-10.
[11] 唐海华, 黄春雷, 丁杰. 混合式抽水蓄能电站优化调度策略[J]. 电力系统自动化, 2011, 35(21): 40-45.
[12] 杨柳青, 林舜江, 刘明波, 等. 考虑风电接入的大型电力系统多目标动态优化调度[J]. 电工技术学报, 2014, 29(10): 286-295.
[13] 王伟华, 王红宇, 许国瑞, 等. 基于时步有限元的抽水蓄能电机瞬态参数计算方法的对比[J]. 电工技术学报, 2015, 30(1): 89-97.
[14] 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.
[15] 胡泽春, 丁华杰, 孔涛. 风电-抽水蓄能联合日运行优化调度模型[J]. 电力系统自动化, 2012, 36(2): 36-41, 57.
[16] 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(1): 149-154.
[17] Nilsson O, Sjelvgren D. Hydro unit start-up costs and their impact on the short term scheduling strategies of Swedish power producers[J]. IEEE Transactions on Power Systems, 1997, 12(1): 38-44. |
|
|
|
2018, Vol. 19 
