Fuzzy PID based on Firefly Algorithm: Load Frequency Control in Deregulated Environment

نویسندگان

  • O. Abedinia
  • N. Amjady
  • K. Kiani
  • H. A. Shayanfar
چکیده

A Firefly Algorithm (FA) based on Fuzzy PID controller is proposed in this paper to solve the Load Frequency Control (LFC) problem in a deregulated environment. In multi area electric power systems, if a large load is suddenly connected (or disconnected) to the system, or if a generating unit is suddenly disconnected by the protection equipment, there will be a long-term distortion in the power balance between that delivered by the turbines and that consumed by the loads. This imbalance is initially covered from the kinetic energy of rotating rotors of turbines, generators and motors and, as a result, the frequency in the system will change. This paper applied a fuzzy controller to solve this problem. The results of the proposed controller are compared with the classical fuzzy PID type controller and classical PID controller through ITAE and FD performance indices. Keywords; FA, Load Frequency Control, Two-Area Power System, Deregulated Environment.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-Stage Fuzzy Load Frequency Control Based on Multi-objective Harmony Search Algorithm in Deregulated Environment

A new Multi-Stage Fuzzy (MSF) controller based on Multi-objective Harmony Search Algorithm (MOHSA) is proposed in this paper to solve the Load Frequency Control (LFC) problem of power systems in deregulated environment. LFC problem are caused by load perturbations, which continuously disturb the normal operation of power system. The objectives of LFC are to mini small size the transient deviati...

متن کامل

A Robust Discrete FuzzyP+FuzzyI+FuzzyD Load Frequency Controller for Multi-Source Power System in Restructuring Environment

In this paper a fuzzy logic (FL) based load frequency controller (LFC) called discrete FuzzyP+FuzzyI+FuzzyD (FP+FI+FD) is proposed to ensure the stability of a multi-source power system in restructured environment. The whale optimization algorithm (WOA) is used for optimum designing the proposed control strategy to reduce fuzzy system effort and achieve the best performance of LFC task. Further...

متن کامل

Fuzzy PID Tuned by a Multi-Objective Algorithm to Solve Load Frequency Control Problem

Abstract In this paper, a fuzzy PID with new structure is proposed to solve the load frequency control in interconnected power systems. in this study, a new structure and effective of the fuzzy PID-type Load frequency control (LFC) is proposed to solve the load frequency control in interconnected power systems. The main objective is to eliminate the deviations in the frequency of different area...

متن کامل

Multi-stage Fuzzy PID Load Frequency Control by Modified Shuffled Frog Leaping

Objective: A Modified Shuffled Frog Leaping (MSFL) algorithm based Multi-stage Fuzzy (MSF) PID controller is proposed in this paper to solve the Load Frequency Control (LFC) problem in a deregulated environment. The power system LFC problems are caused by small load perturbations which continuously disturb the normal operation of power system. The objectives of LFC are to minimize the transient...

متن کامل

Load Frequency Control in Power Systems Using Multi Objective Genetic Algorithm & Fuzzy Sliding Mode Control

This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012