基于深度神经网络的分布式智能微电网群间能量优化调度仿真模型

Simulation Model of Energy Optimal Scheduling Among Distributed Smart Microgrid Clusters Based on Deep Neural Network

针对微电网并网运行时微电网群弃能较高的问题,设计基于DNN的微电网群间能量优化调度仿真模型。确定微电网能量优化调度仿真参数,提高仿真模型的真实性;基于DNN选取群间能量优化调度目标函数,提高仿真模型的优化调度效果;构建微电网群间能量优化调度仿真模型,缓解微电网并网运行弃能较高的问题,实现微电网群间能量调度的优化。通过仿真实验验证了所设计的基于DNN的微电网群间能量优化调度仿真模型的微电网群弃能在0.01×10^(3)~0.05×10^(3) kWh范围内波动,弃能更低,能量浪费较少,群间能量优化调度效果较好,具有较好的可行性。

Aiming at the problem of high energy rejection of microgrid groups when microgrid is connected to the grid,a simulation model of energy optimal scheduling between microgrid groups based on DNN is designed.The simulation parameters of microgrid energy optimization dispatch are determined,and the authenticity of the simulation model is improved.Based on DNN selection of intergroup energy,the scheduling objective function is optimized,and the optimal scheduling effect of the simulation model is improved.The simulation model of energy optimization and dispatching between microgrid groups is constructed,which alleviates the problem of high energy abandonment in grid-connected operation of microgrid,and realizes the optimization of energy dispatch between microgrid groups.Through simulation experiments,the abandoned energy of the designed DNN-based microgrid group optimization dispatching simulation model fluctuates within the range of 0.01×10^(3)~0.05×10^(3) kWh,which has lower abandonment energy,less energy waste,and better feasibility of intergroup energy optimization and dispatch.