Abstract
In this paper, grasshopper optimization algorithm (GOA) a novel meta-heuristic optimization algorithm is used to solve the network reconfiguration problem in presence of distribution static compensator (D-STATCOM) and photovoltaic (PV) arrays in a distribution system. Here, D-STATCOM acts as distribution flexible ac transmission (D-FACT) device and PV arrays as decentralized or distributed generation (DG). The main purpose of the present research includes power loss minimization and voltage profile (VP) enhancement in radial distribution systems under different loading conditions. The proposed GOA is based on swarming behavior of grasshoppers in nature. The proposed GOA is validated using the standard 33, 69 and 118 – bus test systems. The simulation results proved that the optimal network reconfiguration in presence of D-STATCOM units and PV arrays leads to significant reduction in power loss and enhancement in VP. The results obtained by the proposed GOA are compared with base value and found that the optimal network reconfiguration in presence of D-STATCOM and PV arrays is more beneficial than individual objective optimization. Also, the proposed GOA is more accurate, efficient and reliable in finding optimal solution when compared to existing modified flower pollination algorithm (MFPA), firework algorithm (FWA), fuzzy-based ant colony optimization (ACO) and genetic algorithm (GA).
Highlights
Nowadays, distribution systems are receiving more attention from distribution network operators (DNO) and researchers due to its technical, economic and environmental benefits
The main objective of the proposed method is to identify an optimal configuration for the distribution network, DSTATCOM and PV array allocation for minimization of loss and enhancement of voltage profile (VP)
The sequence of steps involved in distribution network optimization using grasshopper optimization algorithm (GOA) is presented as follows: Step 0: Initialization of the GOA parameters; itermax: maximum number of iterations; D: dimensions of search space i.e. number of tie lines or open switches, number of D-STATCOM units and PV arrays to be installed
Summary
Distribution systems are receiving more attention from distribution network operators (DNO) and researchers due to its technical, economic and environmental benefits. Civanlar et al [3] presented a heuristic algorithm based on a simple mathematical formula which determines the change in power loss during the process of branch exchange In this method network reconfiguration is depends on initial switch status and it considers only the sole pair of switching operation. Mahmoud et al [8] proposed an efficient analytical method for optimal allocation of different DG units to minimize network power loss. Rao et al [12] proposed a meta-heuristic technique called harmony search algorithm to analysis the performance of simultaneous reconfiguration and DG allocation for power loss minimization and VP enhancement. Devi and Geethanjali [23] presented the particle swarm optimization algorithm for power loss minimization through simultaneous allocation of DG and D-STATCOM in distribution systems. The simulated results obtained by the proposed GOA are compared with base case and other existing methods available in the literature
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