A heuristic-based approach for optimizing a small independent solar and wind hybrid power scheme incorporating load forecasting. (20th December 2019)

• Record Type: Journal Article
• Authors: Zhang, Weiping; Maleki, Akbar; Rosen, Marc A.
• Is Part Of: Journal of cleaner production. Volume 241(2019)
• Publication Date: 2019-12-20
• Subjects: Small autonomous hybrid power scheme -- Solar energy -- Wind energy -- Optimization -- Heuristic algorithm-based load forecasting; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2019.117920
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Small independent hybrid power schemes (IHPSs) are promising alternatives for load supply for remote areas. In IHPS optimization, load data are generally the main input. In this paper, forecasting strategies are proposed for load related parameters and tested on real data. Also, an efficient method based on the heuristic procedure (tabu search) is presented for optimization of an IHPS based on solar and wind energy along with a battery. The effect of using forecast load information instead of past information on the IHPS performance is investigated. In the optimization, there are three main decision variables: number of batteries, surface area of the PV system, and wind turbine swept area. The optimization is done to satisfy continually the load demand and to minimize the IHPS life cycle cost while respecting relevant limitations. To ensure the scheme's reliability, the probability of loss of power supply is determined. The performance of the proposed algorithm-based load forecasting approach is compared with the harmony search algorithm-based load forecasting and simulated annealing algorithm-based load forecasting. The simulation results clearly demonstrate the advantages of utilizing load forecasting in an IHPS optimization problem, and confirm that the tabu search method earnings more promising results than the harmony search and simulated annealing methods. Highlights: Small independent hybrid power schemes based on solar and wind energy with a battery are optimized. The optimization problem minimizes the scheme's the life cycle cost using load forecasting. The probability of loss of power supply is determined for reliability of the scheme. The tabu search-based load forecasting exhibits the most accurate results.