Controle inteligente do despacho de geração distribuída para atendimento dos limites de demanda de uma microrrede
The use of distributed generation (DG) allied to smart grids offers a series of benefits for the electrical system and, consequently, the society that makes use of it. Specifically in the economic and planning context, bringing solutions that propose a union between the improvement of the electrical...
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| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Brasil |
| Institución: | Universidade Federal de Santa Maria (UFSM) |
| Repositorio: | Manancial - Repositório Digital da UFSM |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufsm.br:1/16319 |
| Acceso en línea: | http://repositorio.ufsm.br/handle/1/16319 |
| Access Level: | acceso abierto |
| Palabra clave: | Geração distribuída Análise econômica OpenDSS Controle inteligente Previsão de demanda Distributed generation Smartgrids Economic analysis Demand forecast Intelligent dispatch CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA |
| Sumario: | The use of distributed generation (DG) allied to smart grids offers a series of benefits for the electrical system and, consequently, the society that makes use of it. Specifically in the economic and planning context, bringing solutions that propose a union between the improvement of the electrical system with reduction of operating costs and impact on technical losses is very interesting. Thus, this dissertation addresses an analysis through the demand forecasting methodology with linear regression mathematical model for an intelligent distributed generation dispatch. The OpenDSS software is used to study the feasibility and economic advantages of applying the control routine in a case study involving the microgrid of the Federal University of Santa Maria (UFSM). The objective is to structure a programming routine that enables the DG dispatch in an intelligent way, making it possible to verify the impacts on the demand contract, the voltage levels and energy losses and subsequent proposal to change this contract based on the total DG capacity. For this, a research structure is developed contemplating reflections around the use of DG allied to intelligent networks and implementation of control in real time. The results of the research show that it is possible to control the demand with the utility (upper grid), in addition to the reduction of energy consumption. The availability of control also allows to reduce the current demand contract of the network, reducing even more energy consumption and saving considerable value. |
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