2011年1月1日 · In this paper, in response to the great approximation ability of neural network, the BP neural network is adopted to decouple the combined control system of AFC and AGC. PSO algorithm has so many characteristics such as simple structure, implementing easily and so on.

A novel control strategy of Fuzzy-Immune PID based on PSO is proposed in this paper. The strategy learns from the immune feedback principle of biological immune system and takes advantage of the good approaching ability of fuzzy control to achieve nonlinear function of the immune controller, and then the PSO algorithm is used to optimize ...

2015年1月1日 · In this paper, a novel hybrid Particle Swarm Optimization (PSO) and Pattern Search (PS) optimized fuzzy PI controller is proposed for Automatic Generation Control (AGC) of multi area power systems.

Fuzzy PI controllers based on particle swarm optimization (PSO) are proposed for four-area interconnected automatic generation control (AGC) system in deregulat

2011年12月31日 · Authors in [175] have demonstrated the application of PSO to optimize the fuzzybased controller parameters in AGC. A hybrid PSO [176] has also been presented for AGC studies because...

2022年3月9日 · In this paper, the PSO algorithm has developed to tune the 2DOF-PID controller in two-area AGC of four units thermal-hydro interconnected system. Particle swarm optimization (PSO) approach has penetrated for the first time in AGC of the conventional power system with two-degree freedom of PID controllers.

2017年4月19日 · In this regard, AGC system based on fuzzy logic, i.e., so-called FLAGC can introduce an effectual performance to suppress the dynamic oscillations of tie-line power exchanges and frequency in multi-area interconnected power system.

Teaching learning-based-optimization (TLBO), harmony search algorithm (HS), sine-cosine algorithm (SCA) and improved particle swarm optimization (IPSO), the four optimization techniques are employed in this paper for tuning PID controller. IPSO is proposed algorithm here and compared with rest three techniques.

This paper investigates the effect of Super Conducting Magnetic Energy Storage System (SMES) in Automatic Generation Control (AGC) of multi area multi-source in

Particle Swarm Optimization (PSO) algorithm is used to optimize the controller parameters for different nominal loading conditions. The PSO algorithms are a stochastic global search method that mimics the process of natural evolution.