Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Economic dispatch

Optimization of Automatic Generation Control and Economic Load Dispatch for Two Area Six Unit Interconnected Power System

Faeq J. Zwayyer; Afaneen A. Abbood; Jasim F. Hussein

Engineering and Technology Journal, 2021, Volume 39, Issue 10, Pages 1610-1624
DOI: 10.30684/etj.v39i10.2158

This paper proposes an integrated Economic Load Dispatch (ELD) and Automatic Generation Control (AGC) for interconnected power systems. Based on their participation factor determined from the economic load dispatch calculation, each unit shares the total change in the same control region. In this study, two control areas are considered. Three thermal units are located in each control area. An integral controller (I) is only used for the AGC mechanism's secondary controller and is used for the primary controller for the ELD mechanism. An Improved Grey Wolf Optimizer (IGWO) technique is used to evaluate the optimum parameters of the integral controllers for primary and secondary controllers. An integral time square error (ITSE) has been used as the objective function to tune the suitability of the proposed controller gains. The simulation results demonstrate that the integrated AGC with ELD has the superiority in reducing the overshoot and fast steady state compared with AGC only.

Unit Commitment Solution Based on Improved Particle Swarm Optimization Method

Ali I. Abbas; Afaneen Anwer

Engineering and Technology Journal, 2021, Volume 39, Issue 10, Pages 1601-1609
DOI: 10.30684/etj.v39i10.2114

This paper presents an algorithm to solve the unit commitment problem using the intelligence technique based on improved Particle Swarm Optimization (IPSO) for establishing the optimal scheduling of the generating units in the electric power system with the lowest production cost during a specified time and subjected to all the constraints. The minimum production cost is calculated based on using the Lambda Iteration method. A conventional method was also used for solving the unit commitment problem using the Dynamic Programming method (DP). The two methods were tested on the 14-bus IEEE test system and the results of both methods were compared with each other and with other references. The comparison showed the effectiveness of the proposed method over other methods.

Particle Swarm Optimization for Total Operating Cost Minimization in Electrical Power System

Mohammed H. al-khafaji; Shatha S.Abdulla al-kabragyi

Engineering and Technology Journal, 2011, Volume 29, Issue 12, Pages 2539-2550

This paper presents solution of economic dispatch problem via a particle swarm optimization algorithm (PSO). The objective is to minimize the total generation fuel cost and keep the power flows within the security limits. The PSO is simple in concept, easy in implementation .It does not require any derivative information, sure and fast convergence, Moreover; it is needs less computational time than other heuristic methods. These features increase the applicability of the PSO, particularly in power system applications .The effectiveness of the proposed algorithm is demonstrated on the IEEE 37-bus system and their performances are compared with the results of genetic algorithm (GA). The results show that PSO can converge to optimum solution with higher accuracy in comparison with GA.