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Intelligent Control System to Detect, Classify and Reserve Power Quality in Micro Grid Through Multi-Agent System
Current Issue
Volume 5, 2018
Issue 3 (September)
Pages: 30-52   |   Vol. 5, No. 3, September 2018   |   Follow on         
Paper in PDF Downloads: 63   Since Jul. 23, 2018 Views: 1195   Since Jul. 23, 2018
Authors
[1]
Mian Khuram Ahsan, School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, China.
[2]
Tianhong Pan, School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, China.
[3]
Zhengming Li, School of Electrical Information & Engineering, Jiangsu University, Zhenjiang, China.
Abstract
In This paper, an intelligent control system is presented which opens a new era of decentralization up to the maximum extent. It consists of three management level of agents to control with defined roles and skills. These agents interact and communicate with each other through fastest and shortest possible ways to make decisions locally and optimally. The fastest communication, interaction, and coordination, among these agents, ensure power quality (PQ) by determining, frequency and voltage of the microgrid via set points to optimize the overall operation. The intelligent control system is using Multi-agent system (MAS) Technique in grid-connected and islanded mode to detect, classify and reserve power quality in real time scenario. The top-level agents control the decisions regarding PQ of electricity Market, the middle level of agents compensate power and its quality between demand and supply while the first level of agents is ensuring power quality along with local droop control. Each independent component of the Microgrid is represented as an intelligent software agent. All intelligent physical standards are developed and implemented in intelligent MAS. The proposed control architecture and strategies are analyzed and tested in detail under various conditions for the real-time control of microgrid. The outcome of the study demonstrates the viability of the presented strategies and its control, and it also shows the excellent ability of the MAS technique for the functional operation of micro-hybrid grids.
Keywords
Multi-Agent System, Power Quality, Intelligent Control, Microgrid
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