CAJ | 학술논문

风能是微电网重要的能量来源，但由于其稳定性差，使得微电网使用风能作为主要能量来源时需要容量较大的储能装置，从而增加了微电网的造价。遗传算法优化的神经网络能够快速、有效地建立非线性系统输入与输出之间的关系，对微电网进行风能预测。通过实际检验，微电网可调度用电设备和发电设备的运行，降低储能设备的电能波动、容量及微电网造价。
풍능시미전망중요적능량래원，단유우기은정성차，사득미전망사용풍능작위주요능량래원시수요용량교대적저능장치，종이증가료미전망적조개。유전산법우화적신경망락능구쾌속、유효지건립비선성계통수입여수출지간적관계，대미전망진행풍능예측。통과실제검험，미전망가조도용전설비화발전설비적운행，강저저능설비적전능파동、용량급미전망조개。
Although wind energy is the main energy source of the micro grid ,it has low stability .Micro grid using wind energy as the main energy source needs large capacity storage device ,thereby increasing the micro grid cost .The genetic algorithm optimization neural network can rapidly ,effectively establish the relation between input and output of nonlinear system . The genetic algorithm optimization neural network is used to predict the wind energy of the micro grid .Through practical test ,electrical equipment and power equipment can be reasonably dispatched and operated ,in the micro grid using this method of wind power prediction .That can reduce the storage equipment energy fluctuation ,the capacity of energy storage devices and the micro grid cost .