Game theoretic optimization of DC micro-grids without a communication infrastructure
Department of Electrical and Computer Engineering
This paper proposes an algorithm to optimize the steady-state operating point in Small Scale Power Systems (SSPS) without the need for communication channels. The approach follows a game theoretic framework with a modification of objectives inside the SSPS. The players are able to minimize a modified objective which gives a improved cost for their initial local objectives. This modified objective is a function of initial local objectives and augmented non-cooperative game. The new game has multiple Nash equilibriums (NE) and therefore players get the opportunity to shift their operating point to a better one while keeping the game condition non-cooperative and without the need for a communication infrastructure. Further, the modified objective is a simple function of players' initial local objectives. Therefore, this method can be easily implemented in the hardware system even with player higher nonliner objectives.
2014 Clemson University Power Systems Conference, PSC 2014
Game theoretic optimization of DC micro-grids without a communication infrastructure.
2014 Clemson University Power Systems Conference, PSC 2014.
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