A Competitive Swarm Optimizer-Based Technoeconomic Optimization with Appliance Scheduling in Domestic PV-Battery Hybrid Systems. (13th October 2019)

• Record Type: Journal Article
• Authors: Wang, Bo; Li, Yanjing; Yang, Fei; Xia, Xiaohua
• Other Names: Wei Chun Guest Editor.
• Is Part Of: Complexity. Volume 2019(2019)
• Publication Date: 2019-10-13
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2019/4824837
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : A technoeconomic optimization problem for a domestic grid-connected PV-battery hybrid energy system is investigated. It incorporates the appliance time scheduling with appliance-specific power dispatch. The optimization is aimed at minimizing energy cost, maximizing renewable energy penetration, and increasing user satisfaction over a finite horizon. Nonlinear objective functions and constraints, as well as discrete and continuous decision variables, are involved. To solve the proposed mixed-integer nonlinear programming problem at a large scale, a competitive swarm optimizer-based numerical solver is designed and employed. The effectiveness of the proposed approach is verified by simulation results.