| 引用本文: | 程中林,杨莉,江全元,葛延峰.储热消纳弃风的市场竞价策略算法[J].电力系统保护与控制,2018,46(10):31-38.[点击复制] |
| CHENG Zhonglin,YANG Li,JIANG Quanyuan,GE Yanfeng.Research on bidding algorithm for wind accommodation by thermal storage market[J].Power System Protection and Control,2018,46(10):31-38[点击复制] |
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| 摘要: |
| 在冬季供暖期，中国东北“以热定电”的供热模式造成大量弃风，通过储热消纳弃风是提高风电消纳率的一种有效手段。弃风具有随机性且价格弹性小的特点，储热需求具有大小可控且价格弹性大的特点，因此储热和弃风的交易市场中，弃风性质类似一般电力市场中的负荷，而储热需求类似发电侧。基于对弃风和储热特性的分析，提出一种基于线性供给函数模型的报价决策算法。该算法充分考虑了弃风随机性和储热需求弹性对市场价格的影响，以随机变量描述市场参与者的报价策略，采用场景分类处理模型中的随机变量。采用辽宁省电力公司提供的2013年弃风数据进行算例分析，验证了所提算法的有效性和实用性。 |
| 关键词: 储热 风电 报价策略 电力市场 场景分类 |
| DOI：10.7667/PSPC170695 |
| 投稿时间：2017-05-09修订日期：2017-08-16 |
| 基金项目:国家科技支撑计划重大项目(2015BAA01B02) |
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| Research on bidding algorithm for wind accommodation by thermal storage market |
| CHENG Zhonglin,YANG Li,JIANG Quanyuan,GE Yanfeng |
| (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;State Grid Liaoning Province Electric Power Company Limited, Shenyang 110006, China) |
| Abstract: |
| In winter heating period, the heating mode of “determining power by heating load” in Northeast China causes tremendous wind curtailment. And wind power accommodation by thermal storage becomes an effective solution. Wind curtailment is random and its price elasticity is small. Thermal storage demand is controllable and its price elasticity is big. Thus in wind accommodation by thermal storage market, curtailment of wind power and load which is in conventional electric power market has similar property and property of thermal storage demand is analogous to conventional electricity generation. After analyzing wind curtailment and thermal storage’s peculiarity, this paper proposes a bidding strategy algorithm which is based on linear supply function model. The algorithm fully considers wind curtailment randomness and thermal storage demand elasticity’s impact on market clearing prices. This method describes bidding strategies by stochastic variable which is handled by scene classification. By using data of Liaoning Province wind curtailment in 2013 for case analysis, this paper has verified effectiveness and practicability of the proposed algorithm. This work is supported by Key Project of the National Science and Technology Program of China (No. 2015BAA01B02). |
| Key words: thermal storage wind power bidding strategy electricity market scene classification |
