Loading...
Publication
Cooperação entre o consumidor final e o agregador na gestão do consumo
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 897.51 KB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
RESUMO: Esta interação agregador/consumidor final, baseada em escolhas racionais vantajosas para ambos, leva o consumidor a valorizar (e ver valorizada) a flexibilidade que é capaz de oferecer. O consumidor agenda o consumo como prefere, bem como alternativas que aceita, e se quiser, o ganho diferencial mínimo que exige, na sua fatura de eletricidade, para alguma(s) dessas colocações alternativas. Deve também definir a prioridade que atribui a cada consumo sob a forma do preço máximo que está disposto a por ele pagar. Com estes dados pode-se otimizar a fatura, sendo importante visar-se o ganho líquido, i.e., deduzido dos ganhos diferenciais que o consumidor possa ter exigido. A agenda de consumos é então ajustada à produção renovável local e ao preço horário do mercado. A complexidade da procura exige heurísticas e as simulações em MATLAB encorajam um apuramento das metodologias usadas e até alguma sofisticação adicional em termos das alternativas de escolha disponibilizáveis ao consumidor e ao agregador. Esta ferramenta pode ajudar o agregador a conciliar interesses em pequenos mercados e em comunidades de energia.
ABSTRACT: This aggregator/end-consumer interface based on rational win-win choices helps the consumer evaluate his available flexibility and get due acknowledgement for it. He schedules his consumption and alternatives he deems acceptable; he may also define electricity bill offsets he requires for some of these alternative schedules. He should also prioritize his power needs by pointing the maximum price he will pay for each consumption segment. These data allow for net electricity bill optimization, i.e. after the abovementioned offsets. Demand is then re-scheduled according to local renewable generation and hourly market price forecasts and the consumer must define his preferred schedule as well as alternatives he may accept. Search space complexity and dimensionality require heuristic drive. MATLAB based simulations encourage methodology refinements and a more sophisticated options panel to be offered to the consumer as well as to the aggregator. Further, this tool may help the aggregator construe compromise between different interests emerging in smaller markets and energy communities.
ABSTRACT: This aggregator/end-consumer interface based on rational win-win choices helps the consumer evaluate his available flexibility and get due acknowledgement for it. He schedules his consumption and alternatives he deems acceptable; he may also define electricity bill offsets he requires for some of these alternative schedules. He should also prioritize his power needs by pointing the maximum price he will pay for each consumption segment. These data allow for net electricity bill optimization, i.e. after the abovementioned offsets. Demand is then re-scheduled according to local renewable generation and hourly market price forecasts and the consumer must define his preferred schedule as well as alternatives he may accept. Search space complexity and dimensionality require heuristic drive. MATLAB based simulations encourage methodology refinements and a more sophisticated options panel to be offered to the consumer as well as to the aggregator. Further, this tool may help the aggregator construe compromise between different interests emerging in smaller markets and energy communities.
Description
CIES2020 - XVII Congresso Ibérico e XIII Congresso Ibero-americano de Energia Solar
Keywords
Renewable energy sources Renewable integration Electricity markets Energy consumption Energy management
Citation
Osório, J... [et.al.] - Cooperação entre o consumidor final e o agregador na gestão do consumo. In: CIES2020: As Energias Renováveis na Transição Energética: Livro de Comunicações do XVII Congresso Ibérico e XIII Congresso Ibero-americano de Energia Solar. Helder Gonçalves, Manuel Romero (Ed.). Lisboa, Portugal: LNEG, 3-5 Novembro, 2020, p. 971-979
Publisher
LNEG - Laboratório Nacional de Energia e Geologia