Adaptive differential search algorithm for optimal location of distributed generation in the presence of SVC for power loss reduction in distribution system

Abstract

Optimal location and sizing of multi type of distribution generations in a distribution system is of great importance for experts and industries to achieve the desired technical-economic objectives. This paper aims to develop a new planning strategy for modern power distribution system using a flexible variant based differential search (DS) algorithm named adaptive DS. The proposed algorithm investigated for solving the optimal location and sizing of multi distributed generation (DG). The total power losses have been optimized considering the cost component of DG for real power, and the cost of energy losses. The robustness of the proposed planning strategy was validated on a two practical test system, 33-Bus and 69 Bus at normal situation and considering specific loading margin stability. The results show the importance of installing the suitable size of DG at the suitable location in the presence of SVC compensators.

Keywords

• Distribution generation
• Radial distribution
• Differential search
• Optimal location and sizing
• Renewable energy
• Smart grid
• Power quality
• SVC