Voltage Control Method Using Distributed Generators Based on a Multi-Agent System

Hyun-Koo Kang, Il-Yop Chung and Seung-Il Moon
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Hyun-Koo Kang: Korea Electric Power Research Institute (KEPRI), Korea Electric Power Company (KEPCO), 105 Munji-Ro, Yuseong-Gu, Daejeon 34056, Korea
Il-Yop Chung: School of Electrical Engineering, Kookmin University, Seoul 136-702, Korea
Seung-Il Moon: School of Electrical Engineering and Computer Scirnce, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul 151-744, Korea

Energies, 2015, vol. 8, issue 12, 1-17

Abstract: This paper presents a voltage control method using multiple distributed generators (DGs) based on a multi-agent system framework. The output controller of each DG is represented as a DG agent, and each voltage-monitoring device is represented as a monitoring agent. These agents cooperate to accomplish voltage regulation through a coordinating agent or moderator. The moderator uses the reactive power sensitivities and margins to determine the voltage control contributions of each DG. A fuzzy inference system (FIS) is employed by the moderator to manage the decision-making process. An FIS scheme is developed and optimized to enhance the efficiency of the proposed voltage control process using particle swarm optimization. A simple distribution system with four voltage-controllable DGs is modeled, and an FIS moderator is implemented to control the system. Simulated data show that the proposed voltage control process is able to maintain the system within the operating voltage limits. Furthermore, the results were similar to those obtained using optimal power flow calculations, even though little information on the power system was required and no power flow calculations were implemented.

Keywords: distributed generation (DG); fuzzy inference system (FIS); multi-agent system (MAS); particle swarm optimization (PSO); reactive power control; voltage control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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