Optimal Scheduling of Hybrid Energy Resources for a Smart Home

Muhammad Kashif Rafique, Zunaib Maqsood Haider, Khawaja Khalid Mehmood, Muhammad Saeed Uz Zaman, Muhammad Irfan, Saad Ullah Khan and Chul-Hwan Kim
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Muhammad Kashif Rafique: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Zunaib Maqsood Haider: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Khawaja Khalid Mehmood: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Muhammad Saeed Uz Zaman: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Muhammad Irfan: Department of Electrical Engineering, Khwaja Fareed University of Engineering and Information Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan
Saad Ullah Khan: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Chul-Hwan Kim: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea

Energies, 2018, vol. 11, issue 11, 1-19

Abstract: The present environmental and economic conditions call for the increased use of hybrid energy resources and, concurrently, recent developments in combined heat and power (CHP) systems enable their use at a domestic level. In this work, the optimal scheduling of electric and gas energy resources is achieved for a smart home (SH) which is equipped with a fuel cell-based micro-CHP system. The SH energy system has thermal and electrical loops that contain an auxiliary boiler, a battery energy storage system, and an electrical vehicle besides other typical loads. The optimal operational cost of the SH is achieved using the real coded genetic algorithm (RCGA) under various scenarios of utility tariff and availability of hybrid energy resources. The results compare different scenarios and point-out the conditions for economic operation of micro-CHP and hybrid energy systems for an SH.

Keywords: battery energy storage system (BESS); electric vehicle (EV); fuel cell (FC); micro combined heat and power (micro-CHP) system; real coded genetic algorithm (RCGA); smart home (SH) (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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