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- W2140934402 abstract "This paper presents new approaches to update our existing load shedding scheme, planned for the coming years. If generation in power system is insufficient to power all loads, efficient load shedding operations may need to be deployed to maintain the supply demand balance. This paper proposes a distributed multi agent based Particle Swarm Optimization, which can make the efficient load shedding decision based on the global information. This method integrates the multi agent system and PSO algorithm. In order to obtain optimal solution quickly, each agent competes and corporate with its neighbors, and it can also learn by using its knowledge. According to this algorithm, total net active power and operating status of loads can be discovered accurately even with faults." @default.
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- W2140934402 date "2013-02-15" @default.
- W2140934402 modified "2023-10-02" @default.
- W2140934402 title "A Stable Multi Agent based Optimization Approach for Load Shedding Control in Power Systems" @default.
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- W2140934402 doi "https://doi.org/10.5120/10632-5370" @default.
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