Distributed Secondary Control and Management of Islanded Microgrids via Dynamic Weights

Abstract

The averaging algorithm for consensus is widely used as a distributed secondary method for the control and management of microgrids. However, during each iteration it may break the system balance obtained by the primary control. In this paper, a distributed and networked method for the control and management of islanded microgrids is proposed, in which there is an agent based communication network as the top layer over a microgrid as the bottom layer. Further, a systematic method is presented to derive a set of distributed control laws for agents from any given communication network, where only nearest neighbor information is needed. The control laws consist of two terms, dynamic and fixed weights, in which the term with dynamic weights reassigns outputs of distributed generators in order to reach different targets. Moreover, this method offers a convenient way to achieve different targets of control and management by substituting a parameter in the control laws with dynamic weights. More importantly, the control laws with dynamic weights never break the system balance during iterations. We formally show that if agents apply the control laws to regulate distributed generators, their outputs will iteratively satisfy the given targets. Finally, simulations are carried out to evaluate the performance of the control laws. The results show that equal outputs, proportional outputs and the optimal incremental cost are obtained. Moreover, the voltage and frequency are still stable, when fluctuations of load demand and environmental conditions are considered.

Distributed Control Strategies for Microgrids: An Overview

“…Power-sharing [57], [58], [123]- [127] [63], [108], [111], [128], [129] Energy storage [130], [131] Economic dispatch [71], [112], [132]- [135]…”

“…The latter topic is also addressed in [247]. In [129], dynamic weights are reassigned to reach different targets. It is claimed that the strategy discussed in [129] could enhance the stability of the system, achieving a better dynamic response.…”

Distributed Noise-Resilient Secondary Voltage and Frequency Control for Islanded Microgrids

“…Dissipated Control architecture has been used for control and power management of microgrids including DG units and ESSs [14], [15]. In [25], the nonlinear dynamics of the DG units are relaxed using the feedback linearization method into linear dynamics and the conventional into linear secondary control system is altered to initiate the distributed secondary control level on the basis of a first-order tracking synchronization problem, to provide voltage/frequency control and real/reactive power sharing.…”

Research on Distributed Source-Load Interaction Strategy Considering Energy Router-Based Active Distribution Network

“…For ER based ADN, more requirements should be raised by the source-load interaction for fast response and scalability. For a distributed control strategy suitable for ER based network, three kinds of algorithm are typically employed: averaging consensus algorithm [21], [22], maximum and minimum consensus algorithm [23]. Zhang and Li [24] put forward a biased minimum consensus algorithm suitable for multiple nodes for the optimal routing path, and a complex maze is employed to verify its correctness.…”