Online Load-Scheduling Strategy and Sizing Optimization for a Stand-Alone Hybrid System
This article has been corrected.
VIEW CORRECTIONPublication: Journal of Energy Engineering
Volume 147, Issue 1
Abstract
Economic cost for sizing and feasibility for scheduling are the tasks to be addressed to design a renewable energy system. Thus, in this paper, the design of a standalone hybrid renewable energy system was a task in which the sizing was accomplished by optimizing the economic cost, and the load scheduling was carried out maximizing the state of charge of the battery and considering the system did not collapse. The algorithm used to implement the optimization problem was a heuristic optimization algorithm named JAYA. Once the size was determined, an online scheduling strategy was proposed to solve the scheduling problem. This strategy was compared with the results of several heuristic optimization algorithms (JAYA, PSO, and TLBO) in order to test and check its validity. Instead of using current data, a predictive value of renewable resources and loads was used both for the scheduling optimization and the scheduling strategy. The results showed that the proposed scheduling strategy presented similar solutions than the scheduling optimization and with a better computation effort.
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Data Availability Statement
The following data and code that support the findings of this study are available from the corresponding author upon reasonable request:
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Irradiance for 30 days.
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Wind speed for 30 days.
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Fix load pattern for 30 days.
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Matlab code for the scheduling strategy.
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Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 147 • Issue 1 • February 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Apr 9, 2020
Accepted: Aug 5, 2020
Published online: Oct 23, 2020
Published in print: Feb 1, 2021
Discussion open until: Mar 23, 2021
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