MAS based distributed automatic generation control for cyber-physical microgrid system

Abstract

Abstract-The microgrid is a typical cyber-physical microgrid system (CPMS). The physical unconventional distributed generators (DGs) are intermittent and inverter-interfaced which makes them very different to control. The cyber components, such as the embedded computer and communication network, are equipped with DGs, to process and transmit the necessary information for the controllers. In order to ensure system-wide observability, controllability and stabilization for the microgrid, the cyber and physical component need to be integrated. For the physical component of CPMS, the droop-control method is popular as it can be applied in both modes of operation to improve the grid transient performance. Traditional droop control methods have the drawback of the inherent trade-off between power sharing and voltage and frequency regulation. In this paper, the global information (such as the average voltage and the output active power of the microgrid and so on) are acquired distributedly based on multi-agent system (MAS). Based on the global information from cyber components of CPMS, automatic generation control (AGC) and automatic voltage control (AVC) are proposed to deal with the drawback of traditional droop control. Simulation studies in PSCAD demonstrate the effectiveness of the proposed control methods.Index Terms-Cyber-physical microgrid system (CPMS), microgrid, automatic generation control (AGC), multiagent system (MAS), droop control, global information discovery.

Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm

“…The motivation of this layer comes from previous works were energy management systems for buildings were integrated in MAS for microgrids and smart grids players modeling [16][17][18][19].…”

“…In [16] a MAS for microgrid is proposed for distributed consensual optimizations where communication delays are considered. A distributed cyber physical microgrid model for real-time tasks is proposed in [17]. In [18] a MAS for islanded microgrids is simulated.…”

Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading

“…Agents can represent physical devices and infrastructures, ranging from single sensors to entire buildings. Some applications of MAS in microgrids can be seen in [5]- [7], where multi-agent-based microgrid management systems are proposed, enabling distributed consensual optimizations [5], distributed cyber-physical models for realtime tasks [6], and islanded microgrid operation [7]. The use of MAS allows the individual agent-representation of each microgrid player, enabling the exchange of data and information among them.…”

Distributed Economic Power Dispatch and Bus Voltage Control for Droop-Controlled DC Microgrids

“…In Figure 2, each agent is represented by a vertex, and the communication links between the agents are represented by edges in this paper. Thus, the microgrid system is generally a cyber-physical system [4,25]. In order to model the communication topology of a DC microgrid efficiently, denote G = (V, E) as a graph with pair sets of (V, E), where V = {1, 2, ..., n} is a set of vertices connected through a set of edges E ⊆ V × V. The communication link does not need to have the same topology as its physical DC microgrid.…”