基于PD一致性算法的微电网分层优化控制策略*

doi:10.11985/2023.02.017

摘要/Abstract

摘要：

由于微电网在孤岛运行时，失去了大电网的支撑，系统电压、频率的稳定性难以得到保障，而保证系统的频率和电压维持在稳定值是微电网稳定运行的前提和基础。针对传统的下垂控制易导致系统的频率和电压出现偏差，在微电网的二次层引入基于(Proportion differentiation，PD)控制一致性算法的状态观测器，对偏差进行动态补偿。三次层以实现分布式电源的最优经济运行为目的，采用PD控制的一致性算法理论求解分布式电源的最优微增率和功率值，与基本一致性算法相比，有效缩短了收敛时间，进一步求解考虑分布式电源发电限制条件下的最优功率值，最后针对负荷及电源波动因素，进行了系统的稳定性仿真，通过试验验证了该控制策略的有效性。

关键词: 微电网, 分层优化, 下垂控制, 一致性算法, 经济运行

Abstract:

Due to the microgrid loses the support of the large power grid when it is operating in an island, the stability of the system voltage and frequency is difficult to be guaranteed, and ensuring that the frequency and voltage of the system are maintained at a stable value is the prerequisite and basis for the stable operation of the microgrid. In view of the fact that the traditional droop control is likely to cause deviations in the frequency and voltage of the system, a state observer based on the PD control consistency algorithm is introduced in the secondary layer of the microgrid to dynamically compensate the deviation. The third layer aims to achieve the optimal economic operation of distributed power sources. The consensus algorithm theory of PD control is used to solve the optimal incremental rate and power value of distributed power sources. Compared with the basic consensus algorithm, the convergence time is effectively shortened. To further solve the optimal power value considering the limited conditions of distributed power generation, the stability simulation of the system is carried out for the load and power fluctuation factors in the end. Experiments are conducted to verify the effectiveness of the control strategy.

Key words: Microgrid, hierarchical optimization, droop control, consistency algorithm, economic operation

中图分类号:

TM73

陈洁, 龙英文. 基于PD一致性算法的微电网分层优化控制策略^*[J]. 电气工程学报, 2023, 18(2): 174-182.

CHEN Jie, LONG Yingwen. Hierarchical Optimization Control Strategy for Microgrid Based on PD Consensus Algorithm[J]. Journal of Electrical Engineering, 2023, 18(2): 174-182.

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DG	a_i	b_i	c_i	P_i_,max
DG₁	0.032	0.828	21.68	30
DG₂	0.053	1.442	52.54	25
DG₃	0.062	1.086	38.15	25
DG₄	0.093	1.854	37.74	20