An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

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.

An integrated control algorithm of power distribution for islanded microgrid based on improved virtual synchronous generator

“…It can be concluded from Table 3 that compared with the power distribution accuracy under the control algorithm in [28] and [29], the improved control algorithm proposed in this paper significantly improves the distribution accuracy of active and…”

Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review

“…The primary control action is undertaken in matter of seconds in response to load changes without the need for complex communication structure in flexible and reliable manner. Nevertheless, this basic method still suffers from certain drawbacks mainly in reactive power sharing and voltage level impact [27,34,[46][47][48][49][50][51]; frequency restoration and active power sharing [32,[52][53][54][55]; poor renewable energy integration [20,[56][57][58][59]; slow damping response to oscillations in the system [60][61][62][63][64][65]; vulnerability to line impedance and coupling inductance [11,66,67]; inaccurate harmonic compensation [68,69]; and protection scheme interference [11,69]. These limitations of the basic droop control method are addressed by optimal design and selection of the parameters and coefficients [54,60,70] and by proposing new adjustments and techniques to enhance the basic droop control performance [52,53,71].…”

A novel hybrid droop control strategy for DC microgrid with simultaneous consideration of operating costs and flexibility

“…Table 2 presents the coefficients of the cost function related to Equation (4). Moreover, Table 3 shows the flexibility specifications of dispatchable units related to (14). Also, the weighting factors in Equations ( 14) and ( 26) are chosen as v 1 = v 2 = v 3 = 1 3 and W 1 = W 2 = 1 2 , respectively.…”