Multi-objective model for simultaneous distribution networks reconfiguration and allocation of D-STATCOM under uncertainties of RESs. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Safari, Amin; Karimi, Masoumeh; Hosseinpour Najmi, Parisa; Farrokhifar, Meisam
• Is Part Of: International journal of ambient energy. Volume 43:Issue 1(2022)
• Page Start: 2577
• Page End: 2586
• Publication Date: 2022-12-31
• Subjects: D-STATCOM -- multi-objective optimization -- NSGA-II -- uncertainty -- renewable energy sources; Power resources -- Periodicals; Renewable energy sources -- Periodicals; 621.04205
• DOI: 10.1080/01430750.2020.1751282
• Languages: English
• ISSNs: 0143-0750

Abstract

Abstract : This paper proposes an approach for simultaneous placement of distribution static compensator (D-STATCOM) and renewable energy sources (RESs) and distribution system reconfiguration (DSR) based on stochastic multi-objective modelling. Associated uncertainties of RESs in generating power, market price errors and load forecasting are modelled in this problem. The problem is optimised by non-dominated sorting genetic algorithms-II (NSGA-II) and then the best compromise solution is specified with fuzzy set theory. The aim of optimisation is to minimise installation and operation costs of distributed generation (DG) units, cost of D-STATCOM installation, the cost of procured energy from the transmission grid, costs of reactive and active power losses, line upgrade cost and DSR expense. A risk-based model of energy not supplied (ENS) as a reliability index is considered in the objective function to improve the reliability of the system. The proposed approach is validated on the IEEE 33-bus test grid.