Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/5450
Título : DG investment planning analysis with renewable integration and considering emission costs
Autor : Fitiwi Zahlay, Desta
Bizuayehu, Abebe Worke
Shafie-khah, Miadreza
Catalão, João P. S.
Asensio, Jose Miguel
Contreras Sanz, Javier
Fecha de publicación :  8
Editorial : Sección Española del IEEE; Region 8 of the Institute of Electrical and Electronics Engineers; Startu (Salamanca, España)
Resumen : 
The prospect of distributed generation investment planning (DGIP) is especially relevant in insular networks because of a number of reasons such as energy security, emissions and renewable integration targets. In this context, this paper presents a DGIP model that considers various DG types, including renewables. The planning process involves an economic analysis considering the costs of emissions, reliability and other relevant cost components. In addition, a comprehensive sensitivity analysis is carried out in order to investigate the effect of variability and uncertainty of model parameters on DG investment decisions. The ultimate goal is to identify the parameters that significantly influence the decision-making process and to quantify their degree of influence. The results show that uncertainty has a meaningful impact on DG investment decisions. In fact, the degree of influence varies from one parameter to another. However, in general, ignoring or inadequately considering uncertainty and variability in model parameters has a quantifiable cost. The analyses made in this paper can be very useful to identify the most relevant model parameters that need special attention in planning practices.
Descripción : Capítulos en libros
URI : http://hdl.handle.net/11531/5450
Aparece en las colecciones: Artículos

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
IIT-15-085A.pdf1,78 MBAdobe PDFVisualizar/Abrir     Request a copy


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.