考虑新能源出力不确定性风险的虚拟电厂双层调度策略

Bi-level Scheduling Strategy for Virtual Power Plants Considering the Risk of New Energy Output Uncertainty

  • 摘要: 以风光为代表的新能源具有出力不确定性、波动性,聚合新能源发电资源的虚拟电厂(virtual power plant, VPP)在优化调度时难以避免VPP实际出力与调度计划间的偏差,进而导致VPP运营风险增加,收益降低。提出了考虑新能源不确定性风险的VPP双层调度策略。首先,建立了考虑VPP内部资源聚合效益的上层模型;其次,针对新能源出力不确定性,采用条件风险价值量化虚拟电厂调度风险,建立了考虑VPP收益和风险的下层多目标调度模型;最后,通过算例验证了调度模型的有效性,能够为VPP提供兼顾收益与风险的调度辅助决策。

     

    Abstract: Due to the new energy resources output represented by wind and photovoltaic has uncertainty and fluctuation , thus it is difficult to avoid the deviation between the actual power output of virtual power plant (VPP) and the scheduling plan, which leads to the increase of VPP operation risk and decrease of revenue. In this paper, a bi-level scheduling strategy for VPP considering the risk of new energy output uncertainty is proposed.Firstly, an upper-level model considering the aggregation benefits of resources within VPP is established; secondly, a lower-level multi-objective scheduling model considering VPP benefits and risks is developed by quantifying VPP scheduling risks using conditional value-at-risk for new energy output uncertainty; finally, the effectiveness of the dispatching model is verified by an example, which can provide VPP with a dispatching aid decision considering both benefits and risks.

     

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