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A novel matchmaking algorithm for smart grid applications

机译:智能电网应用中的新型匹配算法

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Power conversion for sustainable energy production and distribution is one of the most active areas, since efficient power conversion is required at every level of energy supply chain, from the producer to the consumer. Even more, the demand of energy efficient and reliable power conversion is further strengthened by the current evolution towards intelligent energy networks, i.e. smart grids, which facilitate the pervasive integration and deployment of renewable energy sources. In the state of the art, Smart Grids electrical energy generation is based on the load demand. When switching to renewable energy sources, this scheme becomes problematic because sources are not always available on demand, unless a large costly storage capacity is introduced; moreover energy cost for user during the day peak hours becomes very expensive for end users. A cheaper solution is to match the load demand with the instantaneously available power and amount of stored energy. In this paper, a new matchmaking solution based on Multi Agent System and Game Theory has been developed and implemented, optimizing the Smart Grid energy management and consequently reducing costs for end users.
机译:用于可持续能源生产和分配的功率转换是最活跃的领域之一,因为从生产者到消费者的各个能源供应链都需要有效的功率转换。更进一步,通过当前向智能能源网络即智能电网的发展,进一步提高了对能量高效和可靠的电力转换的需求,这促进了可再生能源的普遍集成和部署。在现有技术中,智能电网的电能生成基于负载需求。当转换为可再生能源时,该方案会出现问题,因为除非引入大量昂贵的存储容量,否则并非总能按需提供能源。此外,白天高峰时段用户的能源成本对于最终用户而言变得非常昂贵。较便宜的解决方案是将负载需求与瞬时可用功率和存储的能量相匹配。本文基于多智能体系统和博弈论开发了一种新的婚介解决方案,优化了智能电网的能源管理,从而降低了最终用户的成本。

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