Shu Kang'an1, Zhang Chang2, Ai Xiaomeng1, Wen Jinyu1, Yang Jianhua2
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China; 2. Central China Branch of State Grid Corporation of China Wuhan 430077 China
Abstract:The more and more trans-provincial transmission of large-scale wind power challenges the power system at the receiving-end of the transmission line with peak-load regulation. And this has significantly affected the wind power accommodation. In this paper, a new method for wind power accommodation based on block prices was proposed minimizing the cost of power purchase paid by power system operators. The marginal cost benefits of the thermal unit and pumped-storage hydro (PSH) was considered and the block pricing mechanism of the wind power is investigated to help wind power accommodation. The profits made by different participants such as grid company, wind power enterprise, thermal unit and PSH are balanced through the proposed pricing mechanism and the wind power accommodation can be increased. It was proved theoretically in this paper that the proposed method is equivalent to wind curtailment penalty. Finally, simulation results demonstrate the effectiveness. Results show that this method could help to reduce the wind curtailment significantly so that the profit of wind power enterprise can be increased. The thermal unit and PSH will more actively participate in the system regulation and the profit of transmission system operator will not be affected.
舒康安, 张昌, 艾小猛, 文劲宇, 杨建华. 基于分段电价的跨区风电消纳[J]. 电工技术学报, 2017, 32(增刊1): 39-49.
Shu Kang'an, Zhang Chang, Ai Xiaomeng, Wen Jinyu, Yang Jianhua. Wind Power Accommodation Based on Block Price. Transactions of China Electrotechnical Society, 2017, 32(增刊1): 39-49.
[1] 国家能源局. 2016年一季度风电并网运行情况[EB/OL]. [2016-07-20]. http://www.nea.gov.cn/2016-04/26/c_135313988.htm.2016.4.26. [2] 董永平, 何世恩, 刘峻, 等. 低碳电力视角下的风电消纳问题[J]. 电力系统保护与控制, 2014, 42(5): 12-16. Dong Yongping, He Shien, Liu Jun, et al. Wind power consumption problem in the view of low carbon power[J]. Power System Protection and Control, 2014, 42(5): 12-16. [3] 刘畅, 吴浩, 高长征, 等. 风电消纳能力分析方法的研究[J]. 电力系统保护与控制, 2014, 42(4): 61-66. Liu Chang, Wu Hao, Gao Changzheng, et al. Study on analysis method of accommodated capacity for wind power[J]. Power System Protection and Control, 2014, 42(4): 61-66. [4] 刘新东, 方科, 陈焕远, 等. 利用合理弃风提高大规模风电消纳能力的理论研究[J]. 电力系统保护与控制, 2012, 40(6): 35-72. Liu Xindong, Fang Ke, Chen Huanyuan, et al. Research on rational wind power casting theory for large-scale wind power integration improvement[J]. Power System Protection and Control, 2012, 40(6): 36-39. [5] 杨楠, 王波, 刘涤尘, 等. 考虑柔性负荷调峰的大规模风电随机优化调度方法[J]. 电工技术学报, 2013, 28(11): 231-238. Yang Nan, Wang Bo, Liu Dichen, et al. Large-scale wind power stochastic optimization scheduling method considering flexible load peaking[J]. Transactions of China Electrotechnical Society, 2013, 28(11): 231-238. [6] 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. Yang Liuqing, Lin Shunjiang, Liu Mingbo, et al. Multi-objective dynamic optimal dispatch for large-scale power systems considering wind power penetration[J]. Transactions of China Electrotechnical Society, 2014, 29(10): 286-295. [7] 杨宏, 苑津莎, 吴立增. 基于风电功率预测的电网静态调峰能力极限研究[J]. 电工技术学报, 2014, 29(4): 266-273. Yang Hong, Yuan Jinsha, Wu Lizeng. Research of static regulation capacity limit based on wind power prediction[J]. Transactions of China Electrotechnical Society, 2014, 29(4): 266-273. [8] 任博强, 彭鸣鸿, 蒋传文, 等. 计及风电成本的电力系统短期经济调度建模[J]. 电力系统保护与控制, 2010, 38(14): 67-72. Ren Boqiang, Peng Minghong, Jiang Chuanwen, et al. Short-term economic dispatch of power system modeling considering the cost of wind power[J]. Power System Protection and Control, 2010, 38(14): 67-72. [9] 艾小猛, 韩杏宁, 文劲宇, 等. 考虑风电爬坡事件的鲁棒机组组合[J]. 电工技术学报, 2015, 30(24): 188-195. Ai Xiaomeng, Han Xingning, Wen Jingyu, et al. Robust unit commitment considering wind power ramp events[J]. Transactions of China Electrotechnical Society, 2015, 30(24): 188-195. [10] 艾小猛. 含大规模风电场的电力系统运行优化方法研究[D]. 武汉: 华中科技大学, 2014. [11] 程时杰, 余文辉, 文劲宇, 等. 储能技术及其在电力系统稳定控制中的应用(英文)[J]. 电网技术, 2007, 31(20): 97-108. Cheng Shijie, Yu Wenhui, Wen Jinyu, et al. Energy storage and its application in power system stability enhancement[J]. Power System Technology, 2007, 31(20): 97-108. [12] 李建林, 马会萌, 惠东. 储能技术融合分布式可再生能源的现状及发展趋势[J]. 电工技术学报, 2016, 31(14): 1-10. Li Jianlin, Ma Huimeng, Hui Dong. Present development condition and trends of energy storage technology in the integration of distributed renewable energy[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 1-10. [13] 韩杏宁, 黎嘉明, 文劲宇, 等. 含多风电场的电力系统储能鲁棒优化配置方法[J]. 中国电机工程学报, 2015, 35(9): 2120-2127. Han Xingning, Li Jiaming, Wen Jinyu, et al. Optimization for robust energy storage allocation in power system with multiple wind farms integrated[J]. Proceedings of the CSEE, 2015, 35(9): 2120-2127. [14] 王建宝, 巫卿, 王瑾, 等. 储能技术在风光发电系统中的应用[J]. 电气技术, 2013, 14(9): 91-93. Wang Jianbao, Wu Qing, Wang Jin, et al. Application of energy storage technology in the wind power generation system[J]. Electrical Engineering, 2013, 14(9): 91-93. [15] 刘芳, 潘毅, 杨军峰, 等. 风电-火电-抽水蓄能联合优化机组组合模型[J]. 中国电机工程学报, 2015, 35(4): 766-775. Liu Fang, Pan Yi, Yang Junfeng, et al. Unit commitment model for combined optimization of wind power-thermal power-pumped storage hydro[J]. Proceedings of the CSEE, 2015, 35(4): 766-775. [16] 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. Zou Jin, Lai Xu, Wang Ningbo. Mitigation of wind curtailment by coordinating with pumped storage[J]. Power System Technology, 2015, 39(9): 2472-2477. [17] Khodayar M E, Shahidehpour M, Wu L. Enhancing the dispatch-ability of variable wind generation by coordination with pumped-storage hydro units in stochastic power systems[J]. IEEE Transactions on Power Systems, 2013, 28(3): 2808-2818. [18] 张小辰. 考虑大规模风电场与抽水蓄能联合运行的可用输电能力分析[D]. 上海: 上海交通大学, 2013. [19] 张晴, 李欣然, 杨明, 等. 净效益最大的平抑风电功率波动的混合储能容量配置方法[J]. 电工技术学报, 2016, 31(14): 40-48. Zhang Qing, Li Xinran, Yang Ming, et al. Capacity determination of hybrid energy storage system for smoothing wind power fluctuations with maximum net benefit[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 40-48. [20] 王玫. 促进风电利用的调峰辅助服务补偿及交易机制研究[D]. 北京: 华北电力大学, 2013.