International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 110

M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 5 Issue 6, June 2016


Energy Control Center (ECC) for DERS Using Multi-Agent System by Soft Computing Technique

V. Sravani | K. Dharanisree


Abstract: The main objective of this project is to discuss the design and implementation of a multi-agent system that provides intelligence to a distributed smart grid because of their benefits of extensibility, autonomy, reduced maintenance, etc. In the literature the smooth operation of a power system requires a control architecture that consists of hardware and software protocols for exchanging system status and control signals. This project presents the modeling of intelligent energy control center (ECC) controlling Distributed Energy Resources (DERs) using a multi-agent system. The multi-agent system consist of smart grid and agents such as user agent, distributed energy resources (DER) agent, database agent, control agent, work in collaboration to perform assigned tasks. The DER model is created on the client side and ECC is created on the server side. These results indicate that the controlling of DER agent can be achieved both from server and client. The wind power generator connected with local load, the solar power connected with local load and battery and the ECC controlled by Artificial Neuro Fuzzy Interface System (ANFSI) is used in PV system for reducing the transmission and distribution losses, complexity and increases efficiency and THD and are simulated in MATLAB/SIMULINK.


Keywords: Distributed energy resources DER and internet protocol IP, distributed generators DGs, energy control center ECC, Artificial Neuro Fuzzy Interface System ANFSI


Edition: Volume 5 Issue 6, June 2016,


Pages: 1040 - 1044


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How to Cite this Article?

V. Sravani, K. Dharanisree, "Energy Control Center (ECC) for DERS Using Multi-Agent System by Soft Computing Technique", International Journal of Science and Research (IJSR), Volume 5 Issue 6, June 2016, pp. 1040-1044, https://www.ijsr.net/get_abstract.php?paper_id=NOV164204

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