Dynamic load management and optimum sizing of stand-alone hybrid PV/Wind system.

Kaplani, Eleni ORCID: https://orcid.org/0000-0002-4987-4388, Ntafogiannis, P., Pappas, K. and Diamantopoulos, N. (2015) Dynamic load management and optimum sizing of stand-alone hybrid PV/Wind system. In: AIP Conference Proceedings. UNSPECIFIED, GRC, 150003-1-8.

Preview

PDF (EKaplani_ICCMSE2015paper) - Accepted Version Download (1MB) | Preview

Abstract

Simulation algorithms for the sizing of stand-alone hybrid PV/Wind systems are a powerful tool in evaluating the optimum configuration that would cover the energy demand with a predefined reliability level at the lowest cost. Several parameters such as the interval of the simulation (day, day-night, hourly) and the consumption profile may significantly affect the optimum configuration. This paper examines the effect of these parameters within an optimum sizing simulation algorithm developed. The effect of these parameters was particularly evident at low battery capacities, which involve optimum configurations resulting in minimum cost. Furthermore, shift-able loads in the hourly-based weekly profile assumed in this study were identified, and a dynamic load management functionality was developed. In this approach, loads that could be shifted through time were dynamically allocated during periods of excess energy production by the hybrid PV/Wind system. The results showed an increase in system reliability from 95% to 97% when load shifting was introduced. Finally, sizing the system for only the static (non-shift-able loads) proved to withstand the addition of the extra shift-able loads while retaining the 95% reliability level when the load management functionality was introduced. Thus, a smaller installation with lower cost is achieved.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Mathematics (former - to 2024)
UEA Research Groups:	Faculty of Science > Research Groups > Sustainable Energy
Depositing User:	Pure Connector
Date Deposited:	22 Jan 2016 12:01
Last Modified:	07 Nov 2024 12:49
URI:	https://ueaeprints.uea.ac.uk/id/eprint/56367
DOI:	10.1063/1.4938924

Downloads

Actions (login required)

View Item