Nature Inspired Computing for Data Science by Unknown

Nature Inspired Computing for Data Science by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030338206
Publisher: Springer International Publishing


Different levels of reliability, in accordance with the uncertainty of the forecast demand, are considered to improve the scheduling problem of the MG. The spinning reserve of the dispatchable units guarantees the coverage of the demand variability.

2 Problem Description

The electric power system is defined as a network of electrical components deployed to supply, transfer, store, and use electric power. Traditional power systems have a top-down operated architecture in which their components can be broadly classified as generators, that supply the electric power; the transmission system, that carries the power to the load centers; and the distribution system, that feeds the loads. This paradigm is now being altered by the integration of the so-called prosumers, that is, agents at the electricity grid that can both consume and produce power. This new situation, on the one hand, creates new opportunities for a better network regulation and penetration of renewable energy and, on the other hand, introduces new challenges in order to meet the demanded power and the generation in the network.

The inclusion of these renewable resources in the electrical grid has many associated problems that must be deeply studied [61]. Nevertheless, this challenge can be partially addressed by MGs. In a MG the different DER are controlled in a consistently more decentralized way, thereby reducing the control burden on the grid and permitting them to provide their full benefits [62].

Several strategies can be applied to meet the required power demand in a MG [35]. This problem, which results of the combination of the Unit Commitment (UC) and Economic Dispatch (ED) problems, aims to minimize a certain cost function, while satisfying all of the constraints so that a given security level can be met [37, 63, 64]. On the one hand, the UC problem studies which generators must be in operation at each time instant t meanwhile, on the other hand, the ED studies, once known the generators connected to the grid, the power that must be supplied by each of them.

Fig. 1Structure of the MG considered



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