| 引用本文: | 尹琦琳,秦文萍,于浩,等.计及风电波动性和电动汽车随机性的电力现货市场交易模型[J].电力系统保护与控制,2020,48(12):118-127.[点击复制] |
| YIN Qilin,QIN Wenping,YU Hao,et al.Transaction model for electricity spot market considering the volatility of wind power and the randomness of electric vehicles[J].Power System Protection and Control,2020,48(12):118-127[点击复制] |
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| 摘要: |
| 针对风电出力波动性和电动汽车无序充电随机性对电力市场正常运行造成影响，提出综合考虑“源-网-荷-储”的日前市场与实时市场联动交易模型。日前市场中建立风力发电商和火力发电商与三类用户之间考虑电动汽车可调度能力的主从博弈模型，使发电商与用户之间形成预测电量交易组合。实时市场兼顾风电与用户双侧实际电量波动，以最小化社会成本为目标，建立考虑供需双侧实际电量波动的需求响应模型。为缓解双侧电量波动对电网的不利影响，避免投机行为，提出一种新型计及供需双侧电量波动的预测误差惩罚机制。最后，仿真验证了所构模型的可行性与有效性。 |
| 关键词: 现货市场 交易模型 风电 电动汽车 惩罚机制 |
| DOI：10.19783/j.cnki.pspc.190998 |
| 投稿时间：2019-08-20修订日期：2019-11-05 |
| 基金项目:山西省科技重大专项项目资助(20181102028);国家自然科学基金项目资助(51807129);山西省“1331”工程重点创新团队建设计划资助(1331KIRT) |
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| Transaction model for electricity spot market considering the volatility of wind power and the randomness of electric vehicles |
| YIN Qilin,QIN Wenping,YU Hao,YAO Hongmin,ZHU Yunjie,JIA Yanbing,HAN Xiaoqing |
| (Shanxi Key Lab of Power System Operation and Control Taiyuan University of Technology, Taiyuan 030024, China) |
| Abstract: |
| In view of the impact of the volatility of wind power and the randomness of electric vehicle usage on the normal operation of the electricity market, a joint transaction model of the day-ahead market and the real-time market that comprehensively considers "source-network-load--storage" is proposed. The day-ahead market establishes a master-slave game model which considers the configurability of electric vehicles between generators and three types of users, thus forming a forecasted transaction combination between generators and users. Based on the actual power fluctuations on both wind power producers and users, the real-time market aims to minimize social costs and establishes a demand response model that considers the actual power fluctuations on both sides of supply and demand. In order to alleviate the adverse effects of double-sided power fluctuations on the power grid and avoid speculation, a new type of predictive bias penalty mechanism that accounts for both supply and demand fluctuations in power consumption is proposed. Finally, a simulation verifies the feasibility and effectiveness of the constructed model. This work is supported by Science and Technology Major Special Fund of Shanxi Province (No. 20181102028), National Natural Science Foundation of China (No. 51807129), and Key Innovation Team Construction Program of Shanxi “1331” Project (No. 1331KIRT). |
| Key words: spot market transaction model wind power electric vehicles penalty mechanism |
