Abstract
Due to intermittent nature of renewable energy sources (RESs) and their strong dependence on various environmental factors, it is imperative to carefully deploy these sources. A survey of recent works published in the area of optimal deployment of RESs is presented in this article. The existing works are categorized according to the type of energy source, objective function and model of operation. An optimal mix of hybrid-RESs along with energy storage system (ESS) is presented as solution to overcome the randomness and inconstancy of a single RES such as wind or solar power. We outline mathematical formulations for different objective functions, i.e., minimization of cost, maximization of power generation, maximization of the average cosine efficiency and minimization of the distribution losses. We present different wake models and simulation tools being used for the wind form layout optimization. These simulation tools are used to grade particular RESs according to technical and financial feasibility. This review paper depicts multifaceted coverage of the subject to provide the readers with state of the art developments in the area and can serve as a foundation for further research in the area. In addition, it can be used to find optimal mix of RESs for particular geographical area to satisfy the energy demands of that particular area. © 2013 IEEE.
Highlights
Renewable energy is the energy that originates from the renewable resources which are naturally restored such as wind, sunlight, tidal waves etc
This paper presents an insight into the recent work published in the area of optimal placement of renewable energy sources (RESs) in different practical scenarios
This article provides a survey of the recent works related to the optimal deployment of RESs in different practical scenarios
Summary
Renewable energy is the energy that originates from the renewable resources which are naturally restored such as wind, sunlight, tidal waves etc. Rest of the article is organized as follows: Section II discusses the placement scenarios of different type of RESs. This section classifies exiting literature according to optimization models as well as software and simulation tools being used for placement of different types of RESs. Section III gives the optimization ontology, summarizing the mathematical formulations for different objective functions, i.e., minimization of cost, maximization of power generation, maximization of the average cosine efficiency and minimization of the distribution losses.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have