Safe sizing methodology applied to a standalone photovoltaic system

The variability of solar energy in off-grid systems dictates the sizing of energy storage systems along with the sizing and scheduling of loads present in the off-grid system. Unfortunately, energy storage may be costly, while frequent switching of loads in the absence of an energy storage system causes wear and tear and should be avoided. Yet, the amount of solar energy utilized should be maximized and the problem of finding the optimal static load size of a finite number of discrete electric loads on the basis of a load response optimization is considered in this paper. The objective of the optimization is to maximize solar energy utilization without the need for costly energy storage systems in an off-grid system. Conceptual and real data for solar photovoltaic power production is provided the input to the off-grid system. Given the number of units, the following analytical solutions and computational algorithms are proposed to compute the optimal load size of each unit: mixed-integer linear programming and constrained least squares. Based on the available solar power profile, the algorithms select the optimal on/off switch times and maximize solar energy utilization by computing the optimal static load sizes. The effectiveness of the algorithms is compared using one year of solar power data from San Diego, California and Thuwal, Saudi Arabia. It is shown that the annual system solar energy utilization is optimized to 73% when using two loads and can be boosted up to 98% using a six load configuration.

show abstract

“…The optimal unit sizes x are obtained from equation (20). Subsequently, the operation is simulated for one year of solar power data.…”

Section: Equality Constrained Least Squares Optimization (Ecls) Resultsmentioning

confidence: 99%

“…The computation time for ICLS varies from 11 seconds for n = 2 to around 150 seconds for n = 6. ECLS is the fastest approach even though it has to search for the optimal C given in (20). ECLS forces the results of the switch time to be equidistant outdistance spaced from each other which is not the optimal decision.…”

Section: Discussionmentioning

confidence: 99%

Optimal switchable load sizing and scheduling for standalone renewable energy systems

et al. 2017

View full text Add to dashboard Cite

show abstract

“…These two exploitation cases are compared regarding technical and economic aspect in Table 1 with an exploitation scenario of a plug-in ferry [11][12][13] At last, the unit should be ready for an immediate use with low safety standards. From the technical perspective, the Table 1 shows the non-maturity and the short lifetime of the PEMFC for the recharge per day solution [12,9,14].…”

Section: Energy Storage Technology Selectionmentioning

confidence: 99%

Techno-economic optimization of a supercapacitor-based energy storage unit chain: Application on the first quick charge plug-in ferry

et al. 2015

Self Cite

View full text Add to dashboard Cite

“…Concerning the PV modules and storage batteries capacities, a numerical sizing method has been proposed and has been compared to an intuitive sizing method. A. Bouabdallah et al [10] proposed a safe sizing methodology applied to a standalone photovoltaic system. This method considers the solar irradiation variability by a modelling of index clearness across Markov transition matrix.…”

Section: Introductionmentioning

confidence: 99%

New numerical sizing approach of a standalone photovoltaic power at Ngoundiane, Senegal

Sadio¹,

Mbodji²,

Fall³

2018

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

A new sizing method based on a numerical approach using the average meteorological data and the load demand of the Ngoundiane site along with both concepts of ALPSP and TLCC is treated in this study. The intuitive method, has been first applied to delimit the PV capacity range. Thereafter, the incoming new approach that we propose, consists in elaborating a simple algorithm based on a numerical determinist sizing approach by adapting the available average data to the mathematical equations used in numerical approach. The results show that for a same value of the total capacity of PV array, estimated to 177.5 kW p , the proposed numerical sizing method decreases the storage system capacity to 75% and the TLCC to 65% compared to the intuitive method.

show abstract

Safe sizing methodology applied to a standalone photovoltaic system

Cited by 61 publications

References 39 publications

Optimal switchable load sizing and scheduling for standalone renewable energy systems

Optimal switchable load sizing and scheduling for standalone renewable energy systems

Techno-economic optimization of a supercapacitor-based energy storage unit chain: Application on the first quick charge plug-in ferry

New numerical sizing approach of a standalone photovoltaic power at Ngoundiane, Senegal

Contact Info

Product

Resources

About