Multi‐agent receding horizon control with neighbour‐to‐neighbour communication for prevention of voltage collapse in a multi‐area power system

Abstract

-agent receding horizon control with neighbour-to-neighbour communication for prevention of voltage collapse in a multi-area power system," IET Generation, Transmission and Distribution, vol. 8, (9) pp. 1604-1615, 2014 Multi-agent receding horizon control with neighbour-to-neighbour communication for prevention of voltage collapse in a multi-area power system AbstractIn this study, a multi-agent receding horizon control is proposed for emergency control of long-term voltage instability in a multi-area power system. The proposed approach is based on a distributed control of intelligent agents in a multi-agent environment where each agent preserves its local information and communicates with its neighbours to find an optimal solution. In this study, optimality condition decomposition is used to decompose the overall problem into several subproblems, each to be solved by an individual agent. The main advantage of the proposed approach is that the agents can find an optimal solution without the interaction of any central controller and by communicating with only its immediate neighbours through neighbour-toneighbour communication.The proposed control approach is tested using the Nordic-32 test system and simulation results show its effectiveness, particularly in terms of its ability to provide solution in distributed control environment and reduce the control complexity of the problem that may be experienced in a centralised environment. The proposed approach has been compared with the traditional Lagrangian decomposition method and is found to be better in terms of fast convergence and real-time application. Abstract:In this paper, a multi-agent receding horizon control is proposed for emergency control of long-term voltage instability in a multi-area power system. The proposed approach is based on a distributed control of intelligent agents in a multi-agent environment where each agent preserves its local information and communicates with its neighbours to find an optimal solution. In this paper, optimality condition decomposition (OCD) is used to decompose the overall problem into several sub-problems, each to be solved by an individual agent. The main advantage of the proposed approach is that the agents can find an optimal solution without the interaction of any central controller and by communicating with only its immediate neighbours through neighbour-to-neighbour communication.The proposed control approach is tested using the Nordic-32 test system and simulation results show its effectiveness, particularly in terms of its ability to provide solution in distributed control environment and reduce the control complexity of the problem that may be experienced in a centralized environment. The proposed approach has been compared with the traditional Lagrangian decomposition method and is found to be better in terms of fast convergence and real-time application.

Agent‐based identification and control of voltage emergency situations

“…However, as the focus of the aforementioned optimal reactive power control approach is the minimization of real power losses and the improvement of voltage profiles, it is not suitable as an emergency control scheme. Another agent-based solution relying on distributed control and communication between neighbouring agents to counteract voltage instability is presented in [15]. However, agents need information about voltage angles that, under normal circumstances, cannot be provided without a comprehensive installation of PMUs.…”

A Proposal for a Multi-Agent based Synchronization Method for Distributed Generators in Micro-Grid Systems

“…Figure (15b), on the other hand, shows a decentralized network with two cluster of three nodes, connected only by a bidirectional connection between the two nodes N 1 and N 2 . Figures (16), (17), (18) and (19) report the behaviors of the main system parameters for the six node case for both topology configurations, with a delay information A synchronization technique based on the Multi-Agent Systems approach Figures (16a) and (18a) is possible to see the skew convergence of the six nodes respectively for the centralized and decentralized topology. Also here, the presence of more nodes increases the convergence time of system dynamics.…”

“…An agent is an autonomous entity which observes through sensors and acts upon an environment using actuators and a MAS is a system composed of multiple interacting intelligent agents within an environment [15]. The MAS potential for the power grid is well documented in several simulation studies and projects [16,17] and papers [18] and [19] give specifically a vision of how the MASs approach could be used into the power grid. The main benefit of this approach is that the SG can be seen as a very complex system, consisting of many distinct nodes (generators, loads, transformers, etc...) interconnected among each other, with different tasks to be accomplished [20].…”

An effective decentralized scheme to monitor and control the reactive power flow: a holonic-based strategy

“…As an example of real‐time voltage control strategy, authors in present a demand response‐based approach to keep the voltage profile in an acceptable range with minimum expense. Also, a multi‐agent‐based method is suggested for the emergency control of long‐term voltage instability in a multi‐area power system . In this study, the overall problem is partitioned into a set of subproblems, each to be tackled by an individual agent.…”