skip to main content
Idioma:

Demand response in electrical energy supply: An optimal real time pricing approach

Faria, P. ; Vale, Z.

Energy (Oxford), 2011-08, Vol.36 (8), p.5374-5384 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

Texto completo disponível

Citações Citado por
  • Título:
    Demand response in electrical energy supply: An optimal real time pricing approach
  • Autor: Faria, P. ; Vale, Z.
  • Assuntos: Applied sciences ; case studies ; decision making ; Demand ; demand elasticities ; Demand response ; Distribution network ; electricity ; Electricity markets ; Energy ; Exact sciences and technology ; industry ; Load management ; Marketing ; markets ; Networks ; Optimization ; Physics ; prices ; Pricing ; Real time ; Real time pricing ; Reduction ; Simulation
  • É parte de: Energy (Oxford), 2011-08, Vol.36 (8), p.5374-5384
  • Notas: http://dx.doi.org/10.1016/j.energy.2011.06.049
    ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making. ► Load demand reduction in response to electricity price. ► Load demand reduction depending on the price elasticity of demand value. ► Electricity price managed by the supplier aiming a load reduction need. ► Demand response simulator.
  • Editor: Kidlington: Elsevier Ltd
  • Idioma: Inglês
Links
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  3 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.