Technical Control and Optimal Dispatch Strategy for a Hybrid Energy System

Laetitia Uwineza, Hyun-Goo Kim, Jan Kleissl and Chang Ki Kim
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Laetitia Uwineza: New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Korea
Hyun-Goo Kim: New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Korea
Jan Kleissl: Center for Energy Research, University of California San Diego, La Jolla, CA 92093, USA
Chang Ki Kim: New and Renewable Energy Resource Map Laboratory, Korea Institute of Energy Research, Daejeon 34129, Korea

Energies, 2022, vol. 15, issue 8, 1-19

Abstract: Optimal dispatch is a major concern in the optimization of hybrid energy systems (HESs). Efficient and effective dispatch models that satisfy the load demand at the minimum net present cost (NPC) are crucial because of the high capital costs of renewable energy technologies. The dispatch algorithms native to hybrid optimization of multiple energy resources (HOMER) software, cycle-charging (CC) and load-following (LF), are powerful for modeling and optimizing HESs. In these control strategies, the decision to use fuel cell systems (FCs) or battery energy storage systems (BESs) at each time step is made based on the lowest cost choice. In addition, the simultaneous operation of a FC with a BES reduces the operating efficiency of the FC. These deficiencies can affect the optimal design of HESs. This study introduces a dispatch algorithm specifically designed to minimize the NPC by maximizing the usage of FCs over other components of HESs. The framework resolves the dispatch deficiencies of native HOMER dispatch algorithms. The MATLAB Version 2021a, Mathworks Inc., Natick, MA, USA Link feature in HOMER software was used to implement the proposed dispatch (PD) algorithm. The results show that the PD achieved cost savings of 4% compared to the CC and LF control dispatch strategies. Furthermore, FCs contributed approximately 23.7% of the total electricity production in the HES, which is more than that of CC (18.2%) and LF (18.6%). The developed model can be beneficial to engineers and stakeholders when optimizing HESs to achieve the minimum NPC and efficient energy management.

Keywords: control dispatch strategy; optimization; microgrid system; net present cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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