Economic Dispatch of Generation Directly Rrom Power System Voltages and Admittances

Squires, R. B.

doi:10.1109/aieepas.1960.4500947

Cited by 39 publications

(11 citation statements)

References 16 publications

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“…The main purpose of OPF is to determine the optimal operation state of a power system while meeting some specified constraints. Since the OPF solution was introduced by Squires [2] , considerable amount of research on different optimization algorithms and solution methods have been done. Among the solution methods for OPF problem, Newton's method is the most commonly applied.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems

Taher¹,

Tabei²

2008

American J. of Applied Sciences

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This paper presents the application of hybrid particle swarm optimization technique to find optimal location of unified power flow controller to achieve optimal power flow. Objective function in the OPF, that is to be minimized, are the overall cost functions, which include the total active and reactive production cost function of the generators and installation cost of UPFCs. The OPF constraints are generators, transmission lines and UPFCs limits. We propose HPSO algorithm to consider the objective function and all equality and inequality constraints. Simulations are performed on 4 bus test system and modified IEEE 14 bus system for optimal location of UPFC and the results obtained are encouraging and will be useful in electrical restructuring.

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Section: Introductionmentioning

confidence: 99%

A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems

Taher¹,

Tabei²

2008

American J. of Applied Sciences

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“…The program makes use of the following Harwell library subroutines and they are used with double precision computations. (1) MA28AIAD: This subroutine solves a system of linear equations. Given a sparse matrix, A (NxN) this subroutine decomposes A into factors, solves Ax=b or ATx=b .…”

Section: Computational Results and Discussionmentioning

confidence: 99%

The Hydro-Thermal Optimal Power Flow Problem in Rectangular Coordinates

Ravindranath¹,

El‐Hawary²

1988

Electric Machines & Power Systems

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This paper considers the formulation and computational solution of the optimal power flow problem in hydro-thermal electric system. The problem is formulated using the cartesian coordinate form of the power flow equations. Here the hydro generation is energy limited. As a result, a dynamic optimization problem involving the daily scheduling of the system is encountered. This dynamic optimal power flow problem requires the solution of a large scale set of non-linear simultaneous equations. In this paper, Newton's method is used to solve the problem. Due to the large scale nature of the problem, we have exploited the sparsity of the Jacobian and developed three different versions of the algorithms andhplementation of these versions have been detailed in this paper. In all cases, the algorithm has been successfully tested with six standard IEEE test systems varying in size from 5 bus to 118 bus. Computational results and the CPU times required by all of the methods are given. Results are compared with the results obtained by the earlier version using polar form for load flow constraints and it is shown that the sparse implementation using rectangular coordinates offers superior computational speed.

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“…The customary OPF issue is changed to the meld contraptions in the structure of power [27][28][29]. In the progressing precedent, different streamlining computations, for instance, creamer GA [30], cross breed tabu interest and imitated treating (TS/SA) [27], certifiable coded GA [28], disparity headway [28,29], have been proposed in the composition used for handling OPF issue of control structures equipped with contraptions FACTS. PSO calculation is with swarm learning framework subject to impersonating the sustenance looking for direct of feathered animals and has gotten extended thought in perspective on its peculiarity and looking limit.…”

Section: Background Workmentioning

confidence: 99%

Hybrid algorithm based on MBHS and PSO with Optimal Power Flow Problem for Non-Smooth Cost Functions

2019

IJRTE

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Optimal Power Flow (OPF) is the primary apparatus in power framework administrators for both working and arranging stages. It is made to define a couple of expectations dependent on power organizing factors with a couple of confinements. This paper examines the likelihood that utilizations couple of currently developed progressive ways to deal with anticipating answers for OPF issues based on ruler butterfly agreement search (MBHS) calculation which uses Particle swam streamlining (PSO) for ideal settings of OPF issue control factors. The standard IEEE 30-bus with IEEE 57-bus test framework is assessed and examined by the presentation of the proposed methodologies with different useful destinations and furthermore, the correlation is made to this strategy. At long last, the acquired outcomes that are recovered from the connected reproduction accommodate the MBHS and PSO with effective answers for the issue in OPF.

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Economic Dispatch of Generation Directly Rrom Power System Voltages and Admittances

Cited by 39 publications

References 16 publications

A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems

A Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power Systems

The Hydro-Thermal Optimal Power Flow Problem in Rectangular Coordinates

Hybrid algorithm based on MBHS and PSO with Optimal Power Flow Problem for Non-Smooth Cost Functions

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