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In many power networks, power supplies are usually set to be in a redundant configuration. The total power demands in the networks may be far less than that of the capacity of the power supplies. After the power demands fulfilled an energy saving power generation dispatch becomes possible, and it plays an important role in saving the excess power in the networks. In this paper, we studied the energy...
To balance demand and supply in a microgrid can be considered as a demand-supply balancing problem, and it can be solved in either a static way or a dynamic way. In static algorithms knowledge about the system is known ahead of time. The connection of load and generator is made at the designing phase. A demand-supply balancing algorithm using the knowledge of system state at runtime has potentials...
The objective of this paper is to design and develop a Belief-Desire-Intention (BDI) agent-based approach for power system restoration. We describe a multiple bus electrical power system (multi-bus power system) as a market environment that consists of BDI bus agents representing two different characters, consumer and producer. The bus agents are able to balance the power system between power generation...
Market-based models in Multi-Agent systems that use fuzzy logic are not new ideas, but most solutions focus on learning and optimization without regards to the resilience of the system. In this paper we present two agent fuzzy inference systems that enable producer and consumer agents in the market to negotiate on the price of the desired resource until a unique allocation is achieved. By constraining...
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