基于可靠性的虚拟电厂微网源荷协同优化调度模型构建  

Construction of a Virtual Power Plant Microgrid Source Load Collaborative Optimization Scheduling Model

作　　者：林彤彤 周晋杭 叶晓杰 蔡婉雯 邵崇 LIN Tong-tong;ZHOU Jin-hang;YE Xiao-jie;CAI Wan-wen;SHAO Chong(State Grid Taizhou Power Supply Company Taizhou Bay New Area Power Supply Branch,Taizhou 318000)

机构地区：[1]国网台州供电公司台州湾新区供电分公司,台州318000

出　　处：《环境技术》2024年第3期69-75,共7页Environmental Technology

摘　　要：为了确保虚拟电网微网的高效、可靠运行,构建虚拟电厂微网源荷协同优化调度模型。在正态分布概率模型的基础上建立光伏、风机概率模型和负荷概率模型,以此为依据展开虚拟电厂微网的场景构建。将运行成本、可再生能源消纳量和环境成本作为优化目标,建立源荷协同优化调度模型,通过萤火虫优化算法求解调度模型的最优解,以此实现虚拟电厂微网源荷协同优化调度。实验结果表明,构建模型的风电、光伏出力预测精度高、弃风电量低、风电利用率高,具有良好的协同优化调度能力。In order to ensure the efficient and reliable operation of the virtual power grid microgrid,a virtual power plant microgrid source load collaborative optimization scheduling model is constructed.On the basis of the normal distribution probability model,establish photovoltaic,wind turbine probability models,and load probability models,and based on this,carry out the scene construction of virtual power plant microgrids.Taking operational costs,renewable energy consumption,and environmental costs as optimization objectives,a source load collaborative optimization scheduling model is established.The optimal solution of the scheduling model is solved through the firefly optimization algorithm,in order to achieve virtual power plant microgrid source load collaborative optimization scheduling.The experimental results show that the wind power and photovoltaic output prediction accuracy of the constructed model is high,the abandoned wind power is low,the wind power utilization rate is high,and it has good collaborative optimization scheduling ability.

关 键 词：虚拟电厂 场景构建 源荷协同调度 可再生能源消纳量 萤火虫优化算法 

分 类 号：TM734[电气工程—电力系统及自动化]