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考虑灰绿电能异质属性的园区虚拟电厂优化调度

Optimal Dispatch of Park Virtual Power Plants Considering the Heterogeneous Attributes of Grey and Green Electricity

  • 摘要: 为促进新能源消纳并精细量化不同发电形式的环境价值,文章聚焦于灰绿电能的环境价值异质属性,在“绿电优先”原则下,以经济成本最小、环境影响最优、绿电消纳最大化为目标,构建园区虚拟电厂优化调度模型。然后利用非支配排序遗传优化算法(NSGA-II)对优化调度模型进行求解。最后以某示范园区虚拟电厂系统的实际数据为例进行验证,结果表明所提策略在降低园区虚拟电厂环境成本的同时,提高了园区虚拟电厂的绿电消纳能力,增强了对生态环境的保护。

     

    Abstract: To promote renewable energy accommodation and accurately quantify the environmental value of different power generation forms, this paper focuses on the heterogeneous environmental value attributes of grey and green electricity. Under the principle of "green electricity priority", an optimal dispatch model for park virtual power plants is constructed with the objectives of minimizing economic costs, optimizing environmental impacts, and maximizing green electricity accommodation. The nondominated sorting genetic algorithm II (NSGA II) is used to solve the optimal dispatch model. The model is verified using actual data from a demonstration park virtual power plant system. The results show that the proposed strategy reduces the environmental cost of the park virtual power plant, improves its green electricity accommodation capability, and enhances ecological environmental protection.

     

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