Optimal allocation of distributed generation with FACTS controller for electrical power loss reduction using genetic algorithm

• Main Authors: Sattawat Burana, Panida Thararak, Peerapol Jirapong, Kannathat Mansuwan
• Format: Conference Proceeding
• Published: 2018
• Subjects: Computer Science; Energy; Engineering; Mathematics
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049433357&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/58517
• Institution: Chiang Mai University

© 2017 IEEE. Distributed generation (DG) and flexible alternating current transmission systems (FACTS) can be used to increase the efficiency and enhance power generation of distribution systems. However, the installation of DG with FACTS at inappropriate allocations can result in negative impacts. In this paper, a new DG with FACTS allocation planning tool is proposed for determining the optimal location and sizing of DG with FACTS to reduce power losses. The optimal power flow (OPF) with DG and FACTS is formulated as a minimization problem of system power losses subjected to system constraints such as the grid code from Provincial Electricity Authority (PEA) of Thailand, loading limits, generation limits, and voltage limits. DG and FACTS used in this experiment are a synchronous generator and static var compensator (SVC), respectively. Genetic algorithm (GA) implemented by an m-file script in MATLAB is used for the optimization technique. Consequently, evaluation of load flow solutions and objective functions in each generation of GA are determined using DIgSILENT Programing Language (DPL) script in DIgSILENT software. An existing 22 kV distribution system from PEA is used as a test system. The practical system data from a geographic information system (GIS) database are imported for the planning tool. The obtained simulation results show that the optimal allocation of DG with FACTS using proposed tool results in system power loss reduction, line loading and voltage profile improvement.