The advancements in the smart grid involves high penetration of renewable energy resources into distribution system by building a microgrid. However, the intermittent nature of the nondispatchable generation leads to the issue of demand supply mismatch in the microgrid system. It will be sensible for microgrids to trade energy with one another. This requires a smart distributor, which collects data regarding superfluous energy from providers and takes fair decision of microgrid-generated energy allocation among consumers. This paper presents a starvation-free optimal microgrid-generated energy allocation policy (SF-OEAP) in a smart distributed multimicrogrid system. A novel optimal energy allocation policy is proposed wherein, prediction accuracy of net load forecast and revenue index of consumer microgrid are considered as vital parameters. In a prioritized energy distribution mechanism, it may happen that the consumer microgrid can be starved of microgrid-generated energy. Therefore, in addition to vital parameters, starvation parameter is considered in designing energy allocation policy for sustaining the consumers in the smart distributed multimicrogrid system. Furthermore, the proposed scheme uses weights to control the importance of each of the parameters in the energy allocation policy. The proposed SF-OEAP is simulated and justified so that it is stable enough to apply in a real-time electricity market.

中文翻译：

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SF-OEAP：智能分布式多微电网系统中的无饥饿最优能源分配策略


智能电网的进步涉及通过建立微电网将可再生能源高度渗透到配电系统中。然而，不可调度发电的间歇性导致微电网系统出现供需不匹配的问题。微电网之间进行能源交易是明智的。这需要一个智能分配器，它从供应商那里收集有关过剩能源的数据，并在消费者之间公平地决定微电网产生的能源分配。本文提出了智能分布式多微电网系统中的无饥饿最优微电网发电能源分配策略（SF-OEAP）。提出了一种新颖的最优能源分配策略，其中将净负荷预测的预测精度和消费者微电网的收益指数视为重要参数。在优先能源分配机制中，消费者微电网可能缺乏微电网产生的能源。因此，在设计维持智能分布式多微电网系统中消费者的能源分配策略时，除了重要参数外，还考虑饥饿参数。此外，所提出的方案使用权重来控制能量分配策略中每个参数的重要性。所提出的 SF-OEAP 是经过模拟和论证的，因此它足够稳定，可以应用于实时电力市场。