Affiliation:
1. School of Electrical Engineering Guangzhou City University of Technology Guangzhou China
2. School of Electric Power Engineering South China University of Technology Guangzhou China
3. Department of Electrical Engineering City University of Hong Kong Hong Kong Hong Kong China
Abstract
AbstractDirect current microgrid (DCMG) clusters are gaining popularity in power systems due to their simplicity and high efficiency. However, DCMG clusters are susceptible to minor disturbances due to low system inertia. This paper proposes a method to enhance the small‐signal stability of a DCMG cluster by optimizing the main control parameters of the system. This paper presents a small‐signal state‐space model of a DCMG cluster system at the system level, considering a multi‐bus network topology. Then, the control parameters that significantly affect the small‐signal stability of the DCMG are selected using the participation factor method. To enhance the system damping, the Pareto‐optimal frontier of the bi‐objective problem was determined using the elite non‐dominated sorting genetic algorithm (NSGA‐II). The optimal compromise is determined by using the fuzzy membership function method to extract it from the generated Pareto optimal front. The proposed method has been verified on a three‐sub DCMG test system with droop control.
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)