引用本文: | 付亦殊,陈红坤,姜欣,孙俊杰.促进大规模风电消纳的双层调峰补偿机制研究[J].电力系统保护与控制,2019,47(4):51-57.[点击复制] |
FU Yishu,CHEN Hongkun,JIANG Xin,SUN Junjie.A bi-layer peak-regulation compensation mechanism for large-scale wind power integration[J].Power System Protection and Control,2019,47(4):51-57[点击复制] |
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摘要: |
针对目前常规机组在风电大规模并网时难以得到合理的调峰补偿、从而影响其调峰积极性的情况,提出了一种基于K-means聚类的促进常规机组参与风电消纳的调峰补偿分摊方法。首先,针对机组数量增多时计算“维数灾”的问题,引入K-means聚类对机组进行分类,分层对调峰补偿进行分摊。其次,针对Shapley值法忽略了不同机组的调峰积极性存在差异的缺点,引入机组调峰能力实现系数α对分摊方法进行修正,将调峰补偿费用按照调峰机组的调峰能力实现情况进行分摊,从而使补偿模型兼具公平性与激励性。最后,结合算例证明了改进后模型对激励更多调峰机组参与调峰辅助服务的有效性。 |
关键词: 风电消纳 调峰补偿 合作博弈 K-means聚类分析 |
DOI:10.7667/PSPC180261 |
投稿时间:2018-03-11修订日期:2018-04-19 |
基金项目:国家自然科学基金项目资助(51507117) |
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A bi-layer peak-regulation compensation mechanism for large-scale wind power integration |
FU Yishu,CHEN Hongkun,JIANG Xin,SUN Junjie |
(School of Electrical Engineering, Wuhan University, Wuhan 430072, China;School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China) |
Abstract: |
At present, it is difficult for conventional units to obtain reasonable peak-regulation compensation for large-scale wind power integration, thus affecting their peaking positivity. In response to this situation, a peak-regulation compensation allocation method aiming to promote the supply-side to better participate in wind power utilization is proposed based on K-means cluster method. Firstly, in the light of the problem of extremely large calculation when the number of units increases, K-means cluster method is introduced to classify the units, so that the peak compensations are apportioned hierarchically. Secondly, considering that Shapley value ignores the peaking motivation difference between each unit, the proposed method is modified with the realization coefficient of the peaking capacity (α) of each thermal unit, so that the compensation is allocated in accordance with it, and of both fairness and incentive. Finally, a numerical example proves the feasibility and validity of the proposed method to promote more units to participate in peak-regulation. This work is supported by National Natural Science Foundation of China (No. 51507117). |
Key words: wind power integration peak-regulation compensation cooperative game K-means cluster analysis |