计及光伏预测的直流微电网能量调度研究

Energy Dispatching of DC Microgrid Based on PV Generation Prediction

针对孤岛微电网负荷用电与分布式能源发电的变化带来的网损增大,系统可靠性下降的问题,提出一种决策者的分布式控制方法,对微电网用电进行调度管理。根据相似日原理,采用退火算法优化BP神经网络,预测未来1天的光伏发电量,采用决策者的分布式控制调度微电网的能量,实现微电网昼夜运行切换时发电侧与用电侧的用电平衡。通过采集整理实验平台光伏数据进行光伏发电预测实验,建立系统模型进行能量管理实验,实验结果证明了能量管理方法的可行性和有效性。

To solve the problem of transmission loss increase and the declining reliability of system caused by variation in microgrid load and distributed generation, this paper puts forward a decision-maker based distributed control method to manage the energy in the microgrid. According to similar day principle, BP neural network is optimized using annealing algorithm, PV generating capacity is cal- culated for the next day, and the energy in the microgrid is managed by using the decision-maker based distributed control method, realizing the balance of power consumption between the generation side and load side of the microgrid in operation mode switching. By collecting and sorting PV data from experiment platform the paper makes a prediction about PV generation, and conducts the energy management experiment through establishing the system model. The results show the feasibility and effectiveness of the proposed method.