Optimal Distribution Network Reconfiguration via the Integration of Distributed Generation Penetration using Meta-Heuristic Technique

Abstract

Ensuring the reliability of power distribution to customers is a challenge for the Distribution Network. It faces various issues such as the need for stable and resilient supply, increasing power costs, support for demand growth, environmental sustainability and the advancement of distributed generating technologies. Additionally, the implementation of the Incentive Based Regulation (IBR) and the reform of the energy market require greater efficiency and innovative products and services. The use of smart and digital technology allows utilities to involve users more actively, but it also demands new network design requirements [1]. Distribution networks used to distribute power from the transmission network to energy customers [2]. Distribution network planning (DNP) methodologies have mostly focused on finding the appropriate locations and sizes for system parts including substations, feeders, transformers, circuit breakers and capacitors to meet the expanding load and ensure power supply reliability. DNP often reduces investment, operating and power losses. The planning horizon predicts load demand for the classic DNP situation, where DG units are negative loads [3]. This study introduces meta-heuristic techniques to optimize the reconfiguration of the distribution system and the installation of DG units for reducing power losses and enhancing voltage profiles. The techniques are based on Modified Lightning Search Algorithm (MLSA) and tested on a 145-bus distribution system model with solar DGs and load profile.