Implementation of Network Reconfiguration based on Dataset Approach

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In this work, database approach and DEP and DEPSO techniques have been successfully proposed to optimise the network reconfiguration of a distribution system. Optimisation of network reconfiguration is based on the minimisation of power loss, voltage deviation and number of switchings. Medium- and large-scale distribution networks were investigated to evaluate the quality of solution obtained through the proposed technique and further compared with results published in the recent literature. Multiple scenarios of network reconfiguration have been considered to verify the efficiency of the proposed technique in healthy and faulted distribution system. In case of medium-scale distribution, the proposed technique obtains the optimal switch configuration of 7, 9, 14, 32, 37 and the power loss is improved by 33.35%. Furthermore, the proposed the DEP and the DEPSO methods have the lowest power loss standard deviation of 0.136 and 0.051, respectively, compared to the GA, ITA, HSA, PSO, and FWA, which have a higher standard deviation of 5.49. The average time taken by the DEP to acquire the optimal configuration is 4.7 s, which is faster than other methodologies as shown in Table 2. In case of a large-distribution system, the maximum power loss has been improved by 34.21%. Similar to the medium-scale distribution system, the DEP manages to acquire the optimal solution faster than other methodologies. Hence, from this work, it can be concluded that the DEP obtained the optimal configuration faster but it is not as consistent as the DEPSO. On the contrary, the results obtained by the proposed the DEP and the DEPSO methods outperform the GA, RGA, ITS, HSA, PSO, and FWA in terms of obtaining the optimal solution consistently in a short span of time. In addition to that, this paper also presents the switching sequence for healthy and faulted distribution system. Moreover, the proposed network reconfiguration model has been evaluated with uniform and stochastic load pattern to show its a pplicability in practical scenarios.

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