Load flow methods in distribution systems with dispersed generations: A brief review

Kumar, Rajesh; Jain, Amit

doi:10.1109/icpden.2015.7084498

Cited by 4 publications

(2 citation statements)

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“…Either a numerical or an analytical method can be used to solve the probabilistic load flow. Below is an overview of the fundamental methods employed in the probabilistic load flow solution and how it is applied to distribution system analysis [10].…”

Section: Probabilistic Load Flow Methodsmentioning

confidence: 99%

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Modern Techniques for the Optimal Power Flow Problem: State of the Art

2022

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Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has attracted increasing interest with the introduction of smart grids. Optimal power flow developed as a crucial instrument for resource planning effectiveness as well as for enhancing the performance of electrical power networks. Transmission line losses, total generation costs, FACTS (flexible alternating current transmission system) costs, voltage deviations, total power transfer capability, voltage stability, emission of generation units, system security, etc., are just a few examples of objective functions related to the electric power system that can be optimized. Due to the nonlinear nature of optimal power flow problems, the classical approaches may become locked in local optimums, hence, metaheuristic optimization techniques are frequently used to solve these issues. The most recent optimization strategies used to solve optimal power flow problems are discussed in this paper as the state of the art (according to the authors, the most pertinent studies). The presented optimization techniques are grouped according to their sources of inspiration, including human-inspired algorithms (harmony search, teaching learning-based optimization, tabu search, etc.), evolutionary-inspired algorithms (differential evolution, genetic algorithms, etc.), and physics-inspired methods (particle swarm optimization, cuckoo search algorithm, firefly algorithm, ant colony optimization algorithm, etc.).

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Section: Probabilistic Load Flow Methodsmentioning

confidence: 99%

“…A power system optimization challenge is optimal power flow (OPF) [3][4][5][6][7][8][9][10][11][12][13]. Carpentier [14] first raised this issue in 1962.…”

Section: About Optimal Power Flowmentioning

confidence: 99%