Abstract
In an islanded microgrid with multiple distributed generations (DGs), the difference in line impedance may cause local voltage deviation, which leads to a series of problems such as lower power allocation accuracy and bus voltage drop under traditional droop control. In this respect, a method for optimizing the droop control using an improved particle swarm optimization (IPSO) is proposed. Firstly, the microgrid structure and influence of line parameters on traditional droop control strategy is analyzed. Then, an improved particle swarm optimization is proposed. Based on the basic particle swarm optimization (PSO) algorithm, a fuzzy inference system (FIS) is introduced to dynamically adjust the particle swarm optimization, which can effectively improve the global search ability and local search ability of the algorithm. After that, the improved algorithm is applied to the droop controller, simultaneously, the range of stable operation of the system is determined by small signal analysis. Finally, the simulation and experiment results show that the proposed improved droop control strategy can achieve accurate allocation of active and reactive power effectively while maintaining bus voltage and system frequency stability, enhance the dynamic performance and transient stability of the microgrid system.
Highlights
Microgrid is an effective way to give play to the effectiveness of distributed generation, which has great social and economic significance [1], [2]
In order to solve the problem of unbalanced parallel output power of multiple energy storage batteries, references [25], [26] proposed a dynamic droop control strategy applying in the energy storage system (ESS), which dynamically allocated energy storage according to the state of charge (SOC) of the battery
In this paper, an improved droop control strategy based on improved particle swarm optimization in islanded microgrid with multiple distributed generations paralleled is proposed
Summary
Microgrid is an effective way to give play to the effectiveness of distributed generation, which has great social and economic significance [1], [2]. In order to solve the problem of unbalanced parallel output power of multiple energy storage batteries, references [25], [26] proposed a dynamic droop control strategy applying in the energy storage system (ESS), which dynamically allocated energy storage according to the state of charge (SOC) of the battery. The simulation and experiment results show that the proposed improved droop control strategy can effectively improve the allocation accuracy of active and reactive power while maintaining the stability of voltage and frequency under different working conditions, and enhance the dynamic performance and stability of the microgrid. In order to reflect the power allocation effectively and simplify the system as much as possible, this paper adopts the microgrid structure with double DG parallel operation
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