Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm

Abstract

Electrical distribution network reconfiguration is a complex combinatorial optimization process aimed at finding a radial operating structure that minimizes the system power loss while satisfying operating constraints. In this paper, a harmony search algorithm (HSA) is proposed to solve the network reconfiguration problem to get optimal switching combination in the network which results in minimum loss. The HSA is a recently developed algorithm which is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search which eliminates the need for derivative information. Simulations are carried out on 33-and 119-bus systems in order to validate the proposed algorithm. The results are compared with other approaches available in the literature. It is observed that the proposed method performed well compared to the other methods in terms of the quality of solution.

Multi Objective Optimization of a Power Distribution System Based on Mixed Integer Programming

“…This comparative study shows that for the proposed algorithm, the minimum active power losses after reconfiguration are equal to 136.765 kW and the minimum voltage is 0.9348 p.u. These results are compared with those of the papers [3,4] and are better. The results obtained by the HSA show that the minimum active power losses after reconfiguration are equal to 146.39 kW.…”

“…The proposed method reduces the minimum losses by 6.57% compared to those of HSA and by 1.51% compared to those of CSA obtained. [3] S7, S9, S14, S32, S37 138.87 0.0576 0.94235 PSO [3] S7, S9, S14, S32, S37 138.87 0.0576 0.94235 HSA [4] S7, S10, S14, S28, S36 146.39 0.0664 0.9336…”

“…Rayapudi et al [4] proposed an HSA (Harmony Search Algorithm) method and applied it on a 33-node network. The results show an optimal optimal reconfiguration.…”

Hybrid optimisation method for optimal power flow using flexible AC transmission system devices

“…3.1 The harmony search algorithm [18][19][20] The HSA is a population-based random algorithm. It operates similarly to the process of musical improvisation, wherein musicians tune the pitches of their instruments to achieve better harmony.…”

“…However, since a power system has huge buses and transmission lines, it is difficult, time consuming and challenging to search for the optimal solutions to the FACTS allocation problem. This paper proposes an alternative optimisation method that combines a harmony search algorithm (HSA) [18][19][20] and an ant system [21,22] to determine the optimal solutions to the FACTS allocation problem. The HSA is a population-based random algorithm that is used for music improvisation, wherein musicians improvise the pitches of their instruments to obtain better harmony.…”