Time and Location: What Matters Most When Valuing Distributed Energy Resources

Smith, Jeff; Rogers, Bruce G.; Taylor, Jason; Roark, Jeffrey; Neenan, Bernie; Mimnagh, Thomas; Takayesu, Erik

doi:10.1109/mpe.2016.2639178

Cited by 8 publications

(2 citation statements)

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“…With the integration of ever-increasing capacities of distributed energy resources (DERs) such as solar photovoltaic, wind, and combined heat and power, the operation and maintenance of power distribution systems are becoming more susceptible to the uncertainties related to various external factors such as weather conditions and the preferences of customers [1], [2]. Together with flexible demand, battery storage, and plugged-in electric vehicles whose rapid growths have been identified around the world, DERs are bringing both challenges and opportunities to system operators [3].…”

Section: Introductionmentioning

confidence: 99%

An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

et al. 2019

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Increasing deployment of distributed energy resources (DERs) is re-sculpturing the modern power systems in recent years. Future smart power distribution systems should be competent at accommodating extensive integration of DERs and managing the associated uncertainties at the distribution level. The electricity market has been proved to be an efficient way to employ market signals to direct behaviors of users and DERs with large capacity and homogeneous pattern. However, existing market frameworks cannot effectively handle a large number of small-scale DERs due to their diverse characteristics and arbitrary behavior patterns. In this context, an aggregated model which can represent and manage a diverse collection of DER, load, and storage is proposed. An additional trading platform, namely the energy sharing market, is established to reinforce the coordination and collaboration among various aggregators as well as operators. Energy sharing scheme is applied and a corresponding dynamic dispatch platform is designed to solve the crowdsource problem. The efficiency of the proposed model is validated by the numerical studies, and the market performance and impacts of energy sharing on the power systems are illustrated.INDEX TERMS Distributed power generation, electricity supply industry deregulation, energy management, energy sharing, crowdsourcing behavior.

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Section: Introductionmentioning

confidence: 99%

An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

et al. 2019

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“…O uso de REDs torna os SDEEs mais flexíveis operacionalmente e possibilitam a reconfiguração de acordo com a localização da carga e dos REDs em caso de violação (trangressão de critérios técnicos) do sistema (SMITH et al, 2017), trazendo ainda opções econômicas mais vantajosas para clientes, minimizando o custo geral do sistema e maximizando os benefícios para o cliente.…”

Section: Recursos Energéticos Distribuídosunclassified

Aplicações da resposta da demanda em redes elétricas inteligentes: uma abordagem para implementação, prototipagem e otimização.

Moreira¹

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orientador, mentor e idealizador, que me propôs o desafio da pesquisa sobre Resposta da Demanda e forneceu todo suporte e condições necessárias para a execução das etapas deste projeto. Pela sua capacidade, competência e eficiência na coordenação e gestão do grupo e equipe de pesquisa, pelo exemplo de vigor acadêmico e profissional que serviu de inspiração, estímulo e motivação necessários para alcançar os resultados obtidos.À Sophia, Maressa e Theodoro, para exemplo; ao meu amor Betânia (em especial) com muito carinho; aos meus familiares.À minha mãe Edith, e meu pai Olavo (in memoriam), pelo exemplo. À Wilma Rosário Bravo Boigues (in memoriam), pelo incentivo.

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Multidimensional method for assessing nonwires alternatives within distribution system planning

Montenegro¹,

Taylor²

2022

Decentralized Frameworks for Future Power Systems

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Time and Location: What Matters Most When Valuing Distributed Energy Resources

Cited by 8 publications

References 1 publication

An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

Aplicações da resposta da demanda em redes elétricas inteligentes: uma abordagem para implementação, prototipagem e otimização.

Multidimensional method for assessing nonwires alternatives within distribution system planning

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