Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm

Abstract

This paper proposes a chaotic stochastic fractal search algorithm (CSFSA) method to solve the reconfiguration problem for minimizing the power loss and improving the voltage profile in distribution systems. The proposed method is a metaheuristic method developed for overcoming the weaknesses of the conventional SFSA with two processes of diffuse and update. In the first process, new points will be created from the initial points by the Gaussian walk. For the second one, SFSA will update better positions for the particles obtained in the diffusion process. In addition, this study has also integrated the chaos theory to improve the SFSA diffusion process as well as increase the rate of convergence and the ability to find the optimal solution. The effectiveness of the proposed CSFSA has been verified on the 33-bus, 84-bus, 119-bus, and 136-bus distribution systems. The obtained results from the test cases by CSFSA have been verified to those from other natural methods in the literature. The result comparison has indicated that the proposed method is more effective than many other methods for the test systems in terms of power loss reduction and voltage profile improvement. Therefore, the proposed CSFSA can be a very promising potential method for solving the reconfiguration problem in distribution systems.

Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

“…[8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] Among the recent studies that dealt with the best ways to implement this strategy. There are other strategies, such as system reconfiguration [27][28][29][30][31][32] as well as distributed generation, [33][34][35][36][37][38][39][40][41] that need high capital to proceed with their implementation, which may not be available. In recent years, series capacitors have been used high-voltage networks, and it gives many profits.…”

Applying Tabu Search Optimisation in Zone Distribution System Reconfiguration A Stochastic Model

“…Formulas (1), are termed the branch flow equations. Description of power flow in the structure of a radial distribution network through a given set of recursive branch flow formulas (Formulas 1) Description of power flow in the structure of a radial distribution network through a given set of recursive branch flow formulas.…”

“…Network reconfiguration [1] [2] can be described as shutting down and opening the switches in order to change the network topology and thus getting the energy flow from the substation to the customers. Moreover, the distribution feeders include a number of switches [3].…”

Application of Optimal Network Reconfiguration for Loss Minimization and Voltage Profile Enhancement of Distribution System Using Heap-Based Optimizer

“…Karimianfard and Haghighat [7] proposed a fast and simple strategy based on a node-node adjacency matrix to solve the distribution system reconfguration problem that did not require optimization methods or a power fow program, but it was computationally slow compared to heuristic techniques. To address the optimization problems, metaheuristic methods such as the bacterial foraging optimization algorithm [1], the chaotic stochastic fractal search algorithm [8], the runner-root algorithm [9], and the grasshopper optimization technique [10] were used for the network reconfguration.…”