A two-level model to define the energy procurement contract and daily operation schedule of microgrids
| Autor: | Ulises Manassero, Pedro Querini, Omar Chiotti, Erica Fernádez |
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| Rok vydání: | 2021 |
| Předmět: |
Schedule
Operations research Renewable Energy Sustainability and the Environment Computer science Energy management business.industry 020209 energy 020208 electrical & electronic engineering Energy Engineering and Power Technology 02 engineering and technology Renewable energy Demand response Procurement Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Energy market Microgrid Electrical and Electronic Engineering business Energy (signal processing) |
| Zdroj: | Sustainable Energy, Grids and Networks. 26:100459 |
| ISSN: | 2352-4677 |
| DOI: | 10.1016/j.segan.2021.100459 |
| Popis: | A two-level energy management model that integrates energy procurement contract, operation scheduling under uncertainty, and demand response for connected microgrids is presented in this paper. It provides a framework for managing microgrid operations efficiently by prioritizing renewable over non-renewable generation. In this way, it is possible to size/measure both battery system and diesel generators reserves for overcoming forecast errors of both renewable generation and non-deferrable load demand; and this also enables deferrable load managing. A flexible chance-constraints-based mathematical programming model is also proposed, which can be used as an optimization model at both levels of the energy management model for defining an optimal energy procurement contract based on energy market trade policies and for generating an optimal daily operation schedule based on the energy contract. Furthermore, a new criterion for chance-constraints modeling based on historical minimum/maximum values is proposed. This modeling is intended to consider a high percentage of potential scenarios that may take place during execution. The percentage of presumed cases is estimated from simulation results. |
| Databáze: | OpenAIRE |
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