摘要
针对长期电压稳定场景,应用执行依赖启发式动态规划方法设计紧急电压控制器,协调各种不同类型的控制手段来维持系统的长期电压稳定.利用每个控制周期节点的电压偏差二次型构建效用函数,对未来控制时间的效用函数累加建立代价函数,建立长期电压稳定控制的动态规划模型,采用BP神经网络建立评价网络和执行网络,根据Bellman最优化原理来训练评价网络,用于近似出代价函数,并由执行网络产生最优控制量,进而求解问题.最后,以新英格兰10机39节点系统为例,建立基于PSAT的仿真算例,结果表明所提的控制方案可行且有效.
Aiming at long-term voltage stabilization scenarios,an emergency voltage controller based on the actiondependent heuristic dynamic programming is designed and is applied to the long-term voltage stabilization of power systems by coordinating different control schemes.In the investigation,first,an utility function is presented by using the quadric form of the deviation between bus voltage and its reference value in each control period,and a cost-to-go function is constructed by accumulating the utility function in future design.Then,a dynamic programming model for long-term voltage stabilization is established.Moreover,two BP neural networks are employed to design the critic network and the action network,respectively,and the Bellman equation is employed to train the critic network which approximates the cost-to-go function and the action network which produces optimal control outputs,thus obtaining the solution of the dynamic programming model.Finally,a time-domain simulation of New England 10-machine 39-bus system is carried out using PSAT,and the results verify the feasibility and effectiveness of the proposed method.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2014年第4期19-25,58,共8页
Journal of South China University of Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(51277078)
关键词
长期电压稳定
紧急电压控制
执行依赖启发式动态规划
long-term voltage stabilization
emergency voltage control
action-dependent heuristic dynamic programming