Hybrid-Squirrel-Search Evolutionary Programming Algorithm (HSSEPA) in Distributed Generation Installation for Voltage Security Improvement

Abstract

The increasing load demand in a power transmission network can lead to voltage insecurity, requiring the need for increased generation capacity. Therefore, it is necessary to take measures towards this situation, which can be referred to as a compensation process. An optimization process will be required to determine the optimal location and sizing of the compensation devices. The optimal sizing and location of the compensation devices will require an optimization process to ensure efficient, dependable and cost-effective operation. However, certain optimization techniques are prone to getting trapped in local optima and lack of exploration. This paper presents a new optimization technique which integrates the traditional Evolutionary Programming (EP) and Squirrel Search Algorithm termed Hybrid Squirrel Search Evolutionary Programming Algorithm (HSSEPA). The algorithm is used to optimize the sizing and location of distributed generation Type 3 for improving voltage security in power system. Comparative studies between HSSEPA with the independent EP and SSA on IEEE 30-Bus RTS reveal its superiority in terms of achieving better security improvement.