微型电脑应用

为了协调电力需求侧规模储能，达到资源的最优化分配和保障电网供电质量，提出目标级联求解下的电力需求侧规模储能协调的模糊遗传控制方法。引入拉格朗日惩罚函数构建储能容量调度模型，结合电力需求侧规模储能负荷构建电力需求侧规模储能放电功率调度模型，采用目标级联法求解电力需求侧规模储能协调模型。根据模糊遗传原理选取能够实现全局最大概率的最优解，通过父代染色体交叉和变异操作计算选择概率，设置储能在电力需求侧中的控制因子。利用模糊子集隶属度确定变异率，在修正权重系数的基础上求解误差函数，采用遗传算法优化每个模糊控制器的参数，实现电力需求侧规模储能系统控制。实验结果表明，采用所提出的方法后，储能系统日前购电功率最大值为7.2 MW,储能功率为40 MW。由此证明，所提出的方法具有较好的电力需求侧规模储能协调控制效果，可以为电力系统的稳定运行和可持续发展提供有力的支持。

In order to coordinate scale energy storage on power demand side, achieve the optimal allocation of resources and ensure power supply quality of power grid, a fuzzy genetic control method for coordination of scale energy storage on power demand side under target cascade solution is proposed. The Lagrange penalty function is introduced to build an energy storage capacity scheduling model, and a power demand side scale energy storage discharge power scheduling model is built in combination with power demand side scale energy storage load. The target cascade method is used to solve the power demand side scale energy storage coordination model. According to the fuzzy genetic principle, the optimal solution that can realize the global maximum probability is selected, the selection probability is calculated through the crossover and mutation operation of the parent chromosome, and the control factors of energy storage on power demand side are set. The mutation rate is determined by the membership degree of fuzzy subsets, the error function is solved on the basis of correcting weight coefficient, and the parameters of each fuzzy controller are optimized by genetic algorithm to realize the control of power demand side scale energy storage system. The experimental results show that after applying the proposed method, the maximum day-ahead purchased power of the energy storage system is 7.2 MW and the energy storage power is 40 MW. It is proved that the proposed method has a good coordination control effect of power demand side scale energy storage, which can provide strong support for the stable operation and sustainable development of power system.