Distributed cooperative control method based on network topology optimisation in microgrid cluster

Abstract

When several microgrids are interconnected into microgrid cluster (MGC), the network topology of MGC system would be more complex. Traditional hierarchical control based on droop control tends to make full use of all networks so that the costs of energy exchange could be high. Considering the voltage stability and power sharing of MGC system, a distributed cooperative control method based on network topology optimisation for MGC is proposed to control the power flow of multimicrogrid system. Specially, preliminary Q-leaning algorithm is utilised with establishment of new adjacency matrices for the distributed cooperative control to decrease the costs. Moreover, multi-level controls based on consensus protocol are proposed in the distributed cooperative MGC system to eliminate the necessity of a central controller. The adaptive regulation based on the state of charge among the battery groups will be taken as the first-level control. The second-level control including the current controller, voltage controller and power controller is implemented among the DGs and a novel third-level control based on consensus is applied in eliminating the voltage deviation caused by the first-level control and the second-level control. The effectiveness of the proposed method is verified through the simulation by simulink.

Overview of Consensus Protocol and Its Application to Microgrid Control

“…Regarding the scope of these studies, it is observed that almost all of them focus on the internal coordination of the MG's elements and few are dedicated to studying the connection of different MGs (i.e., the MG clusters), as the recent work in [108], out of the samples considered. With few exceptions, the studies use only radial topology to validate their proposals, and the meshed topologies are generally not considered and not even discussed.…”

A Unified Model Predictive Voltage and Current Control for Microgrids With Distributed Fuzzy Cooperative Secondary Control

“…Thus, a trade-off between dynamic response and steady-state performance can be mitigated. To our best acknowledge, this self-adaptive mechanism has not been reported in recent distributed cooperative control [36][37][38].…”

Guest Editorial: Challenges in Future Grid‐Interactive Power Converters: ControlStrategies, Optimal Operation, and Corrective Actions

“…Paper [25] introduces a Laguerre‐based stochastic economic predictive functional control for optimal real time power dispatch under uncertainty. In paper [26], a distributed cooperative control method based on network topology optimization to control the power flow of microgrid clusters is presented.…”