Papers by Author: Wei Jin Jiang

Abstract: A novel multi-agent particle swarm optimization algorithm (MAI'SO) is proposed for optimal reactive power dispatch and voltage control of power system. The method integrates multi-agent system (MAS) and particle swarm optimization algorithm (PSO). An agent in MAI.SO represents a particle to PSO and a candidate solution to the optimization problem. All agents live in a lattice-like environment, with each agent fixed on a lattice-point. In order to decrease fitness value, quickly, agents compete and cooperate with their neighbors. and they can also use knowledge. Making use of these agent interactions and evolution mechanism of I.SO. MAPSO realizes the purpose of' minimizing the value of' objective function. MAPSO applied for optimal reactive power is evaluated on an IEEE 30-bus power system. It is shown that the proposed approach converges to better solutions much faster than the earlier reported approaches

Abstract: This paper presents One-Distributed-Multi-Agent-Plan. In this system, each agent is planning to carry out their goals and bound by the plan and to determine action steps. Action steps with the routine sequence of steps bound to the time sequence Equivalence of constraints and variables used restraint is not equivalent to not entirely routine steps; Programming is gradually adding and refining constraints on the planning process, algorithm based on the classic UCPOP Planning algorithm; through a special Multi-Agent arrange to check and clear up collision between Agent-Plan, then restriction their action. In this algorithm, The coordination and Conflict-Detection of the Agent-Plan consulted by Multi-Agent I.e.; the bound consistency of Distributed judgment between Agent-Plan; The algorithm is reliable in determining the environment, Since the algorithm is exchanged between agents and actions related to the conflict, and the causal chain bound Therefore it is a small amount of communication and high security advantages.

Abstract: With MAS(Multi Agent System)coordinated technology and market bidding game rules, a grid resource allocation model based on market economy was introduced, which could show the relation between supply and demand. The utility function of consumer was given; The results of emulation test showed that the resource allocation algorithm could be a reference to resources of consumers and the approach significantly improves resource utilization, which made the allocation of the whole network resource tend to be more reasonable.