Informatics Publishing Limited

Ihsan Jabbar Hasan ¹, Chin Kim Gan ², Meysam Shamshiri ², Mohd Ruddin Ab Ghani ², Rosli Bin Omar ²

Affiliations
1 Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, MY
2 Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MY

Abstract

A long term distribution network planning consists of several complexity aspects due to the multiple decision variables in objective functions. Optimum placement of distribution substations and determination of their sizing and feeder routing is one of major issues of distribution network planning. This paper proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified MST. The proposed algorithm has been evaluated on the distribution network case with 500 consumers which are consisting of residential and commercial loads. The test network is generated by fractal based distribution network generation model software tool. The results indicate the proposed algorithm has been succeeded to find the reasonable placement and sizing of distributed generation with adequate feeder path.

Keywords

Distribution Substation Placement, MST, MV & LV Feeder Routing, OpenDSS, PSO

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Meysam Shamshiri ¹, Chin Kim Gan ¹, Rosli Bin Omar ¹

Affiliations
1 Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MY

Abstract

In strategic planning of distribution network, the distribution planner need to evaluate the functionality of the networks on different case studies and various network conditions in order to establish an economic and reliable network. The fractal-based network model generation and Particle Swarm Optimization methods are used in this paper in order to model a distribution network considering the specified features of Malaysian electricity supply application handbook. The proposed method is able to optimize the settlement of consumers and substations based on the distribution planner desires. In the proposed approach 10000 network models have been generated for both urban and rural areas in order to find the adequate numbers of required substations. The results of the case study illustrated that the desired number of substations with acceptable range of violations are obtained from the proposed approach. The distribution network models are designed with settlement of LV consumers and optimum feeder routing from LV consumers connected to distribution transformers. Moreover, the optimum distribution transformers placement and size with optimum MV feeder routing connected to MV substation are modelled. It is concluded from the statistical analysis that proposed method could be utilized to generate the similar realistic network models for strategic assessment of distribution network planning.

Keywords

Distribution Network Modelling, Fractal Network Model Generation, Minimum Spanning Tree, Particle Swarm Optimization.

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