Open AccessAGC Including ELD and Emission Coordination Using Sine Cosine Algorithm
Author(s) -
Ahmed Oday Oleiwi,
Ahmed Jasim Sultan
Publication year - 2021
Publication title -
journal of techniques
Language(s) - English
Resource type - Journals
ISSN - 2708-8383
DOI - 10.51173/jt.v3i3.356
Subject(s) - overshoot (microwave communication) , control theory (sociology) , controller (irrigation) , frequency deviation , particle swarm optimization , automatic generation control , trigonometric functions , computer science , power (physics) , electric power system , automatic frequency control , mathematical optimization , standard deviation , dynamic demand , algorithm , mathematics , control (management) , telecommunications , statistics , physics , geometry , quantum mechanics , artificial intelligence , agronomy , biology
The aim of conventional AGC is to regulate the demand load of the area with taking into account the sharing power with the others area and also the frequency deviation and tie-line power deviation within minimum error steady-state. The proposed coordination's goal is to regulate the demand load between the interconnected area when taking into account the optimal dispatch and emission effect. The two-area that be consist of three units in each one (hydro, thermal, and gas) is used of proposed system. The optimization algorithms were used to find the best operating point of the system by tuning the integral gain are located in ACE that named primary control and Generation allocation logic named secondary controller. The Particle Swarm Optimization (PSO) and Sine Cosine Algorithm (SCA) are used to tune gains of the integral (I) controller to show the superiority in identifying robust controller. The simulation results prove that the SCA with proposed coordination is very effectiveness as compared with PSO algorithm in enhance the dynamic performance and reduce overshoot, maximum frequency deviation, and net tie line power flow deviation error for a given load change and disturbed the demand load between two-area as economic.