Abstract
The intelligent microgrids are an efficient alternative, which allows to supply the demand decreasing the losses of the electrical system and at the same time; the environment and the consumers are the main beneficiaries. This article develops a heuristic based on an energy management model based on the real price of electricity, which will allow end users to encourage the implementation of a policy of response to demand, in order to optimize their consumption, for which a micro smart grid is analyzed, with conventional and non-conventional renewable generation, In addition, a mechanism of "real energy price" will be implemented as a policy of response to demand, with the aim of optimizing the costs of energy that will be transferred to users depending on the stratum to which it belongs, these costs will have a short-term horizon with hourly intervals, achieving a reduction in the purchase of energy from the system
Highlights
IntroducciónSarma y Overbye, n. d.) ( García Torres & Isaac, 2018; García Torres, 2019; García Torres, Benálcazar López, y Idi Amin, 2017; García Torres, Amin Millan Gonzales & López, 2019)
Resumen Las microrredes inteligentes son una alternativa eficiente que permite abastecer la demanda disminuyendo, al mismo tiempo, las pérdidas del sistema eléctrico
In order to reduce the above-mentioned problems, different methodologies are presented among them: Intelligent Networks (IR), Distributed Generation (DG), Demand Response (DR), all summarized in Intelligent Networks, which unify traditional Electric Power Systems (SEP) with Telecommunications, achieving dynamic and efficient management of generation and loads (Jáuregui Méndez & García Torres, 2018) (Energía y Sociedad, 2010; Espinoza et al, 2016)
Summary
Sarma y Overbye, n. d.) ( García Torres & Isaac, 2018; García Torres, 2019; García Torres, Benálcazar López, y Idi Amin, 2017; García Torres, Amin Millan Gonzales & López, 2019). In order to meet the objectives proposed by the UN, it is necessary to implement non-conventional renewable systems, management systems through optimal energy distribution, with locally self-managed intelligent electricity distribution systems, which can operate both connected to the public distribution network and isolated from it. All these have advantages over the two main problems of the current electricity grid model, which are: energy losses in transmission and supply (up to 14 %) and the fact that generation is decoupled from demand. It is important to involve users in demand response (DR) programs which act upon a growth in demand, this can be of two types: i) with the increase in demand, the SEPs are strengthened in all their stages, building new generation plants, transmission lines and distribution networks, ii) the demand of the system is reduced in certain periods, through incentives, trying to reduce consumption in the critical periods of maximum demand or when the reserves are minimum (Rahiman, Zeineldin, Khadkikar, Kennedy & Pandi, 2014; Yu & Hong, 2016)(García Torres, E. & I.saac, 2016; Moreno & García Torres, 2016)
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