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首页> 外文期刊>Journal of Power and Energy Engineering >Simple Real Time Non-Co-Operative Game Theoritic Model for Energy Cost Optimization in Developing Countries
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Simple Real Time Non-Co-Operative Game Theoritic Model for Energy Cost Optimization in Developing Countries

机译：发展中国家能源成本优化的简单实时非合作博弈理论模型

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This paper describes the significant cost saving opportunities for consumers in developing countries by the use of a simple non-cooperative game theoretic mathematical model for demandside management techniques to mitigate the massive use of diesel back-up during grid outages and also other cost optimization schemes. Application of real time load scheduling optimization is investigated during power outages, for residential consumer in India. This method involves a beautiful formulation of a non–cooperation behavior between the diesel generator & the residential consumer during power outages. This involves a tree model with a two player game, where in player one is the diesel generator & player two is the consumer. Depending on the duration of the outage & the consumers limit on the cost for energy different cost optimization strategies can be generated. The load types modeled include passive loads and schedulable, i.e. typically heavy loads. It is found that this DSM schemes show excellent benefits to the consumer. The maximum diesel savings for the consumer due to strategy formulation can be approximately ranging from 45% to as high as 75% for a flat-tariff grid. The study also showed that the actual savings potential depends on the timing of power outage, duration and the specific load characteristics.
机译：本文介绍了通过在需求方管理技术中使用简单的非合作博弈理论数学模型为发展中国家的消费者节省大量成本的机会，以减轻电网中断期间柴油后备的大量使用，以及其他成本优化方案。针对印度的住宅用户，在停电期间研究了实时负荷调度优化的应用。此方法涉及停电期间柴油发电机与居民用户之间非合作行为的优美表述。这涉及一个具有两人游戏的树模型，其中一人是柴油发电机，二人是消费者。根据停电的持续时间和消费者对能源成本的限制，可以生成不同的成本优化策略。建模的负载类型包括被动负载和可调度的负载，即通常为重负载。发现该DSM方案对消费者显示出极好的益处。由于采用了策略制定，对消费者而言，柴油的最大节省量大约为45％到最高为平价电网的75％。研究还表明，实际的节省潜力取决于断电的时间，持续时间和特定的负载特性。

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