Day-Ahead Optimal Scheduling of Distributed Resources and Network Reconfiguration Under Uncertain Environment. Issue 18 (7th November 2020)

• Record Type: Journal Article
• Authors: Kanwar, Neeraj; Gupta, Nikhil; Niazi, Khaleequr Rehman; Swarnkar, Anil; Abdelaziz, Almoataz Y.
• Is Part Of: Electric power components and systems. Volume 48:Issue 18(2020)
• Page Start: 1945
• Page End: 1954
• Publication Date: 2020-11-07
• Subjects: day-ahead operation -- distributed resources -- microgrids -- network reconfiguration -- uncertainty model; Electric machinery -- Periodicals; 621.3104205
• DOI: 10.1080/15325008.2021.1906789
• Languages: English
• ISSNs: 1532-5008

Abstract

Abstract: Future distribution systems can be seen with very high penetration of renewable energy sources (RESs) such as solar photovoltaics and wind turbines on account of diverse techno-economic and social concerns. The uncertainty and variability associated with these RESs along with the stochastic nature of load demand imposes real challenges to system operators. More realistic formulations and suitably tailored methodologies can coordinate well-known operational strategies to achieve optimum performance of distribution systems. This article presents a new methodology to optimally coordinate day-ahead scheduling of distributed resources (DRs) with distribution network reconfiguration (DNR). The scheduling problem optimizes economic operation by considering O&M charges of DRs, emission charges of micro turbines, and sale/purchase of electricity to the customers/grid whereas feeder power losses are minimized by solving DNR problem. Proposed methodology coordinates these two key strategies by coarse and fine tuning to optimize several techno-economic and social objectives while duly addressing more realistic scenario of distribution systems. Application results on a modified standard 33-bus distribution system demonstrate the effectiveness of the proposed methodology.