Efficient sizing and placement of distributed generators in cyber-physical power systems

• Published in: Journal of systems architecture Vol. 97; pp. 197 - 207
• Main Authors: Ud Din, Faheem, Ahmad, Ayaz, Ullah, Hameed, Khan, Aimal, Umer, Tariq, Wan, Shaohua
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2019
• Subjects: Distributed generation; Distribution system; Genetic algorithm; Graph theory; Reconfiguration; Distributed generation; Graph theory; Genetic algorithm; Distribution system; Reconfiguration
• ISSN: 1383-7621; 1873-6165
• DOI: 10.1016/j.sysarc.2018.12.004

Now days, distribution system has experienced numerous significant changes due to the implementation of smart grid technology and integration of distributed and renewable energy resources. Optimal integration of distributed generators and reconfiguration of the radial network have overall positive impacts on the power system. In this paper our aim is to minimize line losses and total harmonic distortion (THD), and to improve the voltage profile of the system by optimal placement and sizing of distributed generators and optimal reconfiguration of the network simultaneously. The impact of total harmonic distortion on power factor is also evaluated in this paper. Genetic algorithm is used as a solving tool to find optimal size of distributed generators and optimal reconfiguration of the network in a varying load environment. Placement buses for distributed generators are found by sensitivity analysis of the network. Fast harmonic load flow analysis and forward/backward sweep methods based on bus current injection to branch current (BIBC) matrix and branch current to bus voltage (BCBV) matrix are developed according to the network topology. The methodology is executed on IEEE-33 bus radial distribution system and the results shows its effectiveness.