电力系统及其自动化学报2019，Vol.31Issue(3)：16-22,7.DOI:10.19635/j.cnki.csu-epsa.000033
预测优化PID方法在含风电电力系统AGC中的应用
Application of Predictive Optimization PID Method to AGC of Power System with Wind Power
摘要
Abstract
In a modern power system,along with the increase of the proportion of clean energy generation capacity,the influence of uncertainties of external environment on the effect of automatic generation control(AGC)cannot be ne?glected. In this paper,research is carried out in light of this problem. First,an AGC model of power system with wind power is constructed in consideration of the influence of wind power. On this basis,a design method for a predictive op?timization proportional integral derivative(PID)controller is proposed,and the optimized PID controller is further ap?plied to the system model. According to the system’s optimal forecast sequence obtained using the prediction method, the input to the PID controller is adjusted to obtain the optimal AGC effect by eliminating the inadaptability of the fixed parameters of the traditional PID controller with respect to the system’s dynamic characteristics. Simulation results show that the proposed method can effectively deal with the uncertainties brought by the access of wind power,and it has better control performance.关键词
自动发电控制/风电/预测优化/不确定性/比例积分微分Key words
automatic generation control(AGC)/wind power/predictive optimization/uncertainty/proportional integral derivative(PID)分类
信息技术与安全科学引用本文复制引用
赵熙临,林震宇,付波,何莉,徐光辉..预测优化PID方法在含风电电力系统AGC中的应用[J].电力系统及其自动化学报,2019,31(3):16-22,7.基金项目
国家自然科学基金资助项目(51604011) （51604011）
安徽省自然科学基金资助项目(178085QF135) （178085QF135）
安徽省高校优秀青年骨干教师国外访问研修项目(gxfx2017025) （gxfx2017025）
安徽省高校自然科学基金资助项目(KJ2017A077) （KJ2017A077）
安徽理工大学研究生创新基金资助项目(2017CX2093) （2017CX2093）
