Abstract
The isolated island microgrid with multiple distributed power sources operating in parallel cannot ensure that the voltage information is equal everywhere due to the difference in line impedance. As a result, its droop control may cause some problems such as unbalanced power distribution and bus voltage fluctuation. For this, a method to improve particle swarm optimization (IPSO) using fuzzy rule system to optimize droop control is proposed. Firstly, the principle and shortcomings of traditional droop control are analyzed. Then, in order to reach optimization of droop factor, a particle swarm (PSO) algorithm with fuzzy rule system is proposed, which can dynamically adjust the learning factor and inertia weight of the particle swarm algorithm, and effectively improve the convergence ability and search speed of the algorithm. The experiment results show that the proposed IPSO algorithm can maintain the real-time stability of bus voltage and microgrid frequency under complex operating conditions, efficaciously improve the accuracy of power balance distribution, and enhance the dynamic performance and stability of islanded microgrid.
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Leng, X. et al. (2022). Adaptive Droop Control Strategy for Island Microgrid Based on Improved Particle Swarm Optimization Algorithm. In: Chu, SC., Lin, J.CW., Li, J., Pan, JS. (eds) Genetic and Evolutionary Computing. ICGEC 2021. Lecture Notes in Electrical Engineering, vol 833. Springer, Singapore. https://doi.org/10.1007/978-981-16-8430-2_1
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DOI: https://doi.org/10.1007/978-981-16-8430-2_1
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