Coordination of Generation of Multi Machine Power Systems

Yasin, Naseer M.; Sultan, Ahmed Jasim; Abdullah, Ali A.

doi:10.36478/jeasci.2019.4146.4152

Cited by 2 publications

(2 citation statements)

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“…To start with the economic factor in power system operation, we will focus attention on optimum allocation of generation to each station for various system load level. The transmission loss was expressed in term of B-coefficients [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal operation of thermal system based on optimum power flow

2021

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This paper has demonstrated that the Newton-Raphsin (NR) load flow technique can be stretched out to produce optimal load flow (OPF) arrangement that is achievable as for all significant disparity imperatives. These arrangements are frequently desired for arranging and activity. We were examined how the load ought to be shared among different plants, when line misfortunes are represented to limit the absolute activity cost with optimal power flow computation with thought about penalty factors, steady fuel cost, and coefficient factors. The IEEE three-machines and nine- Bus bars system was a tested system. The obtained results were compared by initial operation and equality distribution through the saving cost ($/year). The comparison of results showed saving more than 1.6 million $/year under MATLAB V.18a environment.

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Section: Introductionmentioning

confidence: 99%

Optimal operation of thermal system based on optimum power flow

2021

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“…This goal must be reached while keeping the frequency of the system within the defined tolerance range. The power system, which is commonly referred to as the power system control area [1][2][3][4][5], is made up of massive linked power generators. Because of the open competitive market between many generations and distributors, the electricity industry's landscape has changed.…”

Section: Introductionmentioning

confidence: 99%

AGC Including ELD and Emission Coordination Using Sine Cosine Algorithm

Oleiwi

Sultan

2021

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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.

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Coordination of Generation of Multi Machine Power Systems

Cited by 2 publications

References 0 publications

Optimal operation of thermal system based on optimum power flow

Optimal operation of thermal system based on optimum power flow

AGC Including ELD and Emission Coordination Using Sine Cosine Algorithm

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