Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control

Abstract

Abstract:Recently, microgrids are attracting increasing research interest as promising technologies to integrate renewable energy resources into the distribution system. Although many works have been done on droop control applied to microgrids, they mainly focus on achieving proportional power sharing based on the power rating of the power converters. With various primary source for the distributed generator (DG), factors that are closely related to the operation cost, such as fuel cost of the generators and losses should be taken into account in order to improve the efficiency of the whole system. In this paper, a multiagent-based distributed method is proposed to minimize the operation cost in AC microgrids. In the microgrid, each DG is acting as an agent which regulates the power individually using a novel power regulation method based on frequency scheduling. An optimal power command is obtained through carefully designed consensus algorithm by using sparse communication links only among neighbouring agents. Experimental results for different cases verified that the proposed control strategy can effectively reduce the operation cost.

Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration

“…The goal of this paper is to evaluate the following aspects: (1) whether there are interactions between control parameters to maintain stability when several converters operate in parallel; (2) whether there are interactions between control parameters of paralleled master controllers when a system's control strategy changes from single master-slave control to multiple master-slave control method; and (3) how these interactions influence the stability of MG.…”

“…Of special interest are renewable energy sources (RES) such as solar and wind energy generation. This has resulted in the emergence of distributed generators (DGs) and the concept of microgrid (MG) has been introduced for proper utilization of DGs [1,2]. As different DGs have different characteristics and natural uncertainty, their presence can have negative effects on MG. Deviations of voltage and frequency are larger when MG operates in islanded mode in comparison with grid-connected mode [3,4].…”

Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review

“…The supervisory control receives information from all inverters and tries to maintain a balance in power-sharing between the inverters. In this regard, several different control techniques based on communication methods, such as the concentrate control method [33,[37][38][39], master-slave control method [40][41][42][43], and current distribution control method [44][45][46], are discussed in the following subsections.…”

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

“…P2P systems avoid a single point of failure and are much scalable because the available resources grow with the number of nodes joining the network. Decentralized architectures for power systems are usually implemented through Multi-Agent Systems (MAS) technology [44][45][46][47]. In this structure each DER unit is considered as an agent.…”