Conference Papers
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Item Matching Theory for Optimal Power Exchange in Distribution Networks(Institute of Electrical and Electronics Engineers Inc., 2021) Biji Varghese, K.V.; Gaonkar, D.N.Micro-grid distribution systems which use distributed energy sources are believed to be the heart of smart grid technology. while recent researches focus on communication and control aspects of microgrids this paper investigates power exchange efficiency. Distributed generations are the most efficient practice to minimize power losses. This paper presents an application of Gale-Shapely matching theory in distribution networks consist of a number of microgrids and the main grid. The proposed theory groups the agents (microgrids and main grid) into sellers with surplus energy and buyers with insufficient energy. The matching strategy matches the sellers and buyers inside the network. This optimal selection of participants makes the reduction in power losses during power exchange in the system. This novel theory enables the microgrids in the distributed networks to self adapt to changes in the surroundings such as changes in the power needs of the microgrids. Simulation results are compared with the conventional method to check. Simulation results show the proposed theory yields a considerable reduction in power losses in the distributed networks. © 2021 IEEE.Item A Novel Method for Energy Trading in Networked Microgrids Using Matching Theory(Institute of Electrical and Electronics Engineers Inc., 2022) Biji Varghese, K.V.; Gaonkar, D.N.This Paper proposes matching based energy trading mechanism among microgrids to trade energy flexibly in a networked distribution system. We consider an interconnected microgrid network system where some microgrids have an excess of power after their local utilization to sell, termed as sellers, whereas some other microgrids request additional power to meet demand. Energy trading is formulated as a matching problem where the sellers find suitable matches based on the sellers' preference matrix. The preference matrix is generated using the price proposed by the buyer microgrids. The buyer microgrids calculate the trading prices by considering the operational cost, virtual cost and generation cost, and the seller microgrids accept the proposal only if it's greater than the minimum trading price calculated by the seller. We also analyze that due to the power transfer between the microgrids instead of the utility grid., there is a reduction in power loss across the networked system during the power transfer We study the proposed theory on the distribution network containing different numbers of microgrids, and the numerical results are compared with the conventional energy trading methods to verify the effectiveness of the proposed approach. © 2022 IEEE.