Optimal reconfiguration and reactive power planning based fractal search algorithm: A case study of the Algerian distribution electrical system

• Main Author: Belkacem Mahdad
• Format: Article
• Language: English
• Published: Elsevier 2019-02-01
• Series: Engineering Science and Technology, an International Journal
• Online Access: http://www.sciencedirect.com/science/article/pii/S2215098618305445

Reactive power planning of distribution power system is an important task for expert and industrials to ensure power quality delivered to consumer in particular at critical situations such as load growth and faults. The large integration of Flexible AC transmission System (FACTS) and various renewable sources in Electricity Market, become an alternative solution to improve the operation of practical distribution systems. In this study, a simple and interactive fractal search algorithm (FSA) is adapted and applied for optimal reactive power dispatch of multi Static VAR Compensator (SVC) devices and reconfiguration of multi switches installed at specified locations in coordination with tap transformers to minimize the total loss and reduce the voltage drop by considering the load growth. In order to improve the margin reserve security an efficient reconfiguration based on existent switches have been determined to ensure reliable operation during critical situations. The proposed planning strategy has been validated to a critical portion of the distribution power system of Biskra network in Algeria and to the standard 33 Bus. The main objective of the proposed planning strategy is to reduce reactive power excessive especially during summer period to ensure power quality and service continuity. The main contribution achieved in this study confirms clearly that the flexible reconfiguration of multi switches of various departures in coordination with optimal location and dynamic control of reactive power of SVC devices will improve the quality of energy in particular at critical situations. Keywords: Reactive power planning, Optimal reconfiguration, Optimal location and sizing, Fractal search algorithm, Load growth, Power quality, SVC