Stochastic Mathematical Model for High Penetration of Renewable Energy Sources in Distribution Systems

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Fitiwi, DZ (Author) Other; Santos, SF (Author) Other; Cabrita, CMP (Author) Other; Catalao, JPS (Author) FEUP

Conference proceedings International

Title: 2017 IEEE MANCHESTER POWERTECH

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-00N-37S

DOI: 10.1109/ptc.2017.7981253

Abstract (EN): The integration of renewable energy sources (RESs) cannot be postponed given the several techno-economic and environmental factors. However, the intermittent nature of RESs brings several challenges because such sources introduce significant operational variability and uncertainty in the system. Framed in this context a new stochastic mathematical planning model is proposed considering the placement and sizing of energy storage systems and reactive power sources that altogether enable high penetration of RESs. The model employs a linearized AC model, balancing well accuracy with computational burden. The model is tested on a standard distribution network system. Numerical results show that the simultaneous integration of energy storage systems and reactive power sources largely leads to a substantially increased penetration of RESs in distribution systems. Furthermore, dramatic reductions in losses, system costs and emissions are observed. Results analysis also reveal the positive contribution of such a planning on the overall voltage stability in the system.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6