Modelling the Growth of DG Market and the Impact of Incentives on its Deployment: Comparing Fixed Adoption and System Dynamics Methods in Brazil
Autor: | Adelino J. C. Pereira, G. Konzen, João Tomé Saraiva, Mario Domingos Pires Coelho, M. C. Araujo |
---|---|
Přispěvatelé: | Faculdade de Engenharia |
Rok vydání: | 2019 |
Předmět: |
business.industry
Computer science 020209 energy 05 social sciences Engenharia electrotécnica electrónica e informática [Ciências da engenharia e tecnologias] Tariff Public consultation 02 engineering and technology Environmental economics Engenharia electrotécnica Engenharia electrotécnica electrónica e informática Electrical engineering Electronic engineering Information engineering [Engineering and technology] System dynamics Electric power system Incentive Software deployment Distributed generation 0502 economics and business 0202 electrical engineering electronic engineering information engineering Regulatory agency Electrical engineering Electrical engineering Electronic engineering Information engineering business 050203 business & management |
Zdroj: | 2019 IEEE Milan PowerTech. |
DOI: | 10.1109/ptc.2019.8810994 |
Popis: | One of the greatest challenges of power system planners is to incorporate the expected growth of Distributed Generation (DG) in operation and expansion studies, while modeling and understanding its impacts. This paper describes and compares the outcomes of two different methodologies to model the impact of the growth of DG using concepts of the Bass theory of diffusion. We are applying both Fixed Adoption and System Dynamics models using public data and the tariff scenarios proposed in a public consultation developed by the Brazilian Electricity Regulation Agency. The results indicate that the System Dynamics approach can be more suitable to conduct this analysis, since it does not have discontinuities. Additionally, the model and numerical results that are obtained can be used to help the regulatory agency to better design tariff schemes in the public consultation process. |
Databáze: | OpenAIRE |
Externí odkaz: |