电器与能效管理技术 ›› 2022, Vol. 0 ›› Issue (9): 45-50.doi: 10.16628/j.cnki.2095-8188.2022.09.007

• 策略研究与分析 • 上一篇    下一篇

考虑不确定因素的虚拟电厂竞价优化策略

夏耀杰   

  1. 上海电气分布式能源科技有限公司, 上海 201100
  • 收稿日期:2022-05-16 出版日期:2022-09-30 发布日期:2022-10-20
  • 作者简介:夏耀杰(1989—),男,工程师,主要从事电力系统调度工作。

Bidding Optimization Strategy for Virtual Power Plant Considering Uncertainty Factors

XIA Yaojie   

  1. Shanghai Electric Distributed Energy Technology CO.,Ltd.,Shanghai 201100,China
  • Received:2022-05-16 Online:2022-09-30 Published:2022-10-20

摘要:

对于含有风光发电的虚拟电厂,在参与电力市场竞价时必须考虑出力的不确定因素。在多代理的框架下,搭建了虚拟电厂竞价模型,考虑风光发电的不确定性,确定虚拟电厂内部备用容量需求,在满足虚拟电厂内部负荷以及备用容量需求的基础上,以整体利润最大化建立目标函数确定各分布式电源的出力计划和电价,从而确定虚拟电厂整体的出力计划及报价函数。最后,通过算例对所构建的模型及采用的方法进行验证,结果表明了所建立模型的合理性及求解方法的有效性。

关键词: 虚拟电厂, 竞价策略, 日前市场, 备用市场

Abstract:

The uncertainty factors of virtual power plants which contain wind and photovoltaic power generation must be taken into account when participating in the bidding of the power market.The bidding model for virtual power plant is set up under the multi-agent framework.Considering the uncertainty of the wind and photovoltaic power generation,the reserve capacity requirement of the virtual power plant is determined.Based on the internal load demand and the reserve capacity demand of the virtual power plant,the output plan and price of each distributed power generation are determined on the premise of establishing the objective function to maximize the overall profit,so as to determine the output plan and the pricing function of the whole virtual power plant.Finally,the model and the method are validated by the example.The results show that the model is reasonable and the solution method is effective.

Key words: virtual power plant, bidding optimization, day-ahead market, reserve capacity market

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