|
|
Multi-objective optimal model for power system considering wind power maximum accommodation |
Bai Shunming1, Chen Lei2, Jiang Fei2, Yang Ruixing2 |
1. Central China Branch of State Grid Corporation of China, Wuhan 430077; 2. Changsha University of Science &Technology, Changsha 410114 |
|
|
Abstract Due to the randomness and fluctuation of wind power output and the low proportion of flexible power supply in China, wind power consumption is limited and wind curtailment is quite serious. Therefore, in order to maximize the consumption of wind power and improve the economic benefits of power system operation, this paper constructed a multi-objective optimization model with the goal of minimum electricity purchase cost and maximum accommodation of wind power, and used the non-dominated sorting genetic algorithm-II (NSGA-II) to solve the optimization model. The power system with five thermal power units and one grid-connected wind farm is simulated and verified. The calculation example shows that the model can minimize the purchase cost and maximize the consumption of wind power , which verifies the availability of the model.
|
Received: 11 June 2019
Published: 18 January 2020
|
|
|
|
Cite this article: |
Bai Shunming,Chen Lei,Jiang Fei等. Multi-objective optimal model for power system considering wind power maximum accommodation[J]. Electrical Engineering, 2020, 21(1): 7-11.
|
|
|
|
URL: |
http://dqjs.cesmedia.cn/EN/Y2020/V21/I1/7
|
[1] 国家能源局. 2017年光伏发电新增装机5306万千瓦, 居可再生能源之首[EB/OL]. http://www.nea.gov.cn/ 2018-01/24/c_136920159.htm. [2] 文晶, 刘文颖, 谢昶, 等. 计及风电消纳效益的电力系统源荷协调二层优化模型[J]. 电工技术学报, 2015, 30(8): 247-256. [3] 吴巍, 汪可友, 李国杰, 等. 提升风电消纳区间的鲁棒机组组合[J]. 电工技术学报, 2018, 33(3): 523-532. [4] 宁佳, 汤奕, 高丙团. 基于需求响应潜力时变性的风火荷协同控制方法[J]. 电工技术学报, 2019, 34(8): 1728-1738. [5] Luo G, Li Y, Tang W, et al.Wind curtailment of China’s wind power operation: evolution, causes and solu- tions[J]. Renewable and Sustainable Energy Reviews, 2016, 53: 1190-1201. [6] Fan X, Wang W, Shi R, et al.Analysis and counter- measures of wind power curtailment in China[J]. Renewable and Sustainable Energy Reviews, 2015, 52: 1429-1436. [7] Lu X, Mcelroy M B, Peng W, et al.Challenges faced by China compared with the US in developing wind power[J]. Nature Energy, 2016, 1(6): 16061. [8] Davidson M R, Zhang D, Xiong W, et al.Modelling the potential for wind energy integration on China’s coal-heavy electricity grid[J]. Nature Energy, 2016, 1(7): 16086. [9] 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. [10] 史连军, 周琳, 庞博, 等. 中国促进清洁能源消纳的市场机制设计思路[J]. 电力系统自动化, 2017, 41(24): 83-89. [11] 钟海旺, 夏清, 丁茂生, 等. 以直流联络线运行方式优化提升新能源消纳能力的新模式[J]. 电力系统自动化, 2015, 39(3): 36-42. [12] 刘德伟, 黄越辉, 王伟胜, 等. 考虑调峰和电网输送约束的省级系统风电消纳能力分析[J]. 电力系统自动化, 2011, 35(22): 77-81. [13] 王奇伟, 姜飞, 马瑞, 等. 基于状态转移的风电并网下线路潮流分析[J]. 电网技术, 2013, 37(7): 1880-1886. [14] 雷德明, 严新平. 多目标智能优化算法及其应用[M]. 北京: 科学出版社, 2009. [15] 廖金龙, 陈波, 丁宁, 等. 考虑一次调频能力的火电机组负荷优化分配[J]. 中国电机工程学报, 2018, 38(增刊1): 168-174. [16] 田廓, 曾鸣, 鄢帆, 等. 考虑环保成本和风电接入影响的动态经济调度模型[J]. 电网技术, 2011, 35(6): 55-59. |
|
|
|