Dual Heuristic Programming Based Control of SSSC in Power Systems
Jianhua Zhang, Aiguo Zhang, Jingfu Shang · 2009
Power system installed with SSSC is a large-scale nonlinear, indeterminist, multivariable system, and the traditional PI controller has a limited application in some cases because of its non-adaptive parameters. This paper presents the design of a neuron-controller for a SSSC that augments the conventional PI controller. The neuron controller uses adaptive critic design (ACD) with emphasis on dual heuristic programming (DHP). A studying example is carried out to estimate good robustness and adaptability of the proposed controller in the Matlab dynamic simulation platform. Results are presented to show that the DHP based neuron controller performs is better than the conventional PI controller, especially when the system conditions and configuration change. The numerical simulation results of using this method in one SSSC connected to power system verified the adaptability and feasibility of the proposed control strategy in power flow control of power systems.