Reduction of Electricity Cost in Distribution Systems Based on Optimal Switching Configuration

Increasing power consumption and privatization of power networks have prompted utilities to deliver high-quality, dependable facilities to sustain continuous operation and decrease electricity prices. Reducing energy loss in the distribution system helps maintain services and reduce expenses. This paper presents an economic analysis of a practical distribution system for electricity power loss cost reduction. A Mixed Integer Second Order Cone Programming (MISOCP) technique is proposed to achieve the switching sequence from the initial configuration based on minimum power loss during intermittent switching. The Hamming dataset approach reduces search space by taking into account just the radial network topology to attain optimum switching sequences. This work is verified on the actual Malaysian 71 bus distribution system. The results disclosed that the power losses decreased to 114.99 kW and 139.49 kW compared to the initial configuration when the load was 100% and 110%, respectively. Finally, the power loss reduction resulted in saving the cost up to MYR 82,115 and MYR 100,036 when the load level was 100% and 110%, respectively.