TITLE:
Active Power Allocation of Virtual Synchronous Generator Using Particle Swarm Optimization Approach
AUTHORS:
Fathin Saifur Rahman, Thongchart Kerdphol, Masayuki Watanabe, Yasunori Mitani
KEYWORDS:
Virtual Synchronous Generator (VSG), Virtual Inertia, Particle Swarm Optimization (PSO), Active Power Allocation, Microgrid
JOURNAL NAME:
Energy and Power Engineering,
Vol.9 No.4B,
April
6,
2017
ABSTRACT:
In recent years, the penetration of renewable energy sources (RES) is increasing due to energy and environmental issues, causing several problems in the power system. These problems are usually more apparent in microgrids. One of the problems that could arise is frequency stability issue due to lack of inertia in microgrids. Lack of inertia in such system can lead to system instability when a large disturbance occurs in the system. To solve this issue, providing inertia support to the microgrids by a virtual synchronous generator (VSG) utilizing energy storage system is a promising method. In applying VSG, one important aspect is regarding the set value of the active power output from the VSG. The amount of allocated active power during normal operation should be determined carefully so that the frequency of microgrids could be restored to the allowable limits, as close as possible to the nominal value. In this paper, active power allocation of VSG using particle swarm optimization (PSO) is presented. The results show that by using VSG supported by active power allocation determined by the method, frequency stability and dynamic stability of the system could be improved.