微型电脑应用

智能电网可将插电式电动汽车(PEV)、可再生能源(RES)发电与现有电网集成，PEV可用作高效储能系统，实现多能协同互补运行。然而，储能的应用会增加传统网络规模和系统复杂性，因此，以含PEV及RES的电力系统为研究对象，建立了自动发电控制(AGC)模型，实现系统频率稳定。为了支撑AGC维持系统频率，配置了含额外滤波器系数(FC)的比例—积分—微分(PID)控制器，并采用Jaya优化技术对控制器增益参数进行了求解。对含水力、热力、燃气发电机组和PEV的两区域互联电力系统进行了算例仿真，在每个区域系统均设置了10%的负荷偏差波动，对含比例—积分、PID和FC-PID的AGC控制性能进行了分析比较。结果表明，AGC控制器的频率控制性能依次提高，在引入PEV协同优化后，系统稳定性得到了增强，且频率稳定所需的调节时间减少。

The smart grid can integrate plug-in electric vehicles(PEV) and renewable energy resources(RES) power generation with the existing power grid. PEV can be used as efficient energy storage system to achieve multi energy collaborative and complementary operation. However, the application of energy storage increases the scale of traditional networks and system complexity. Therefore, the paper takes power systems containing PEV and RES as the research object and establishes an automatic generation control(AGC) model to achieve frequency stability. In order to support AGC to maintain system frequency, a proportional-integral-derivative(PID) controller with additional filter coefficients(FC) is configured. The controller gain parameters are solved by Jaya optimization technology. A simulation example of a two-area power system with hydraulic, thermal, gas-fired power plant units and PEV is carried out. 10% load deviation fluctuation is set in each area. The control performance of AGC with proportional-integral, PID and FC-PID is analyzed and compared. The results show that the frequency control performance of the AGC controller is sequentially improved. After introducing PEV collaborative optimization, the system stability is enhanced, and the adjustment time required for frequency stability is reduced.