Modeling and multi-objective optimization of a stand-alone PV-hydrogen- retired EV battery hybrid energy system

Huang Zhiyu , Zhilong Xie , Caizhi Zhang , Siew Hwa Chan , Jarosław Milewski , Yi Xie , Yang Yalian , Hu Xiaosong

Abstract

Reusing retired electric vehicle batteries (REVBs) in renewable energy systems is a relatively new concept, and the presented PV-hydrogen-REVB hybrid energy system is a promising way to exploit REVBs’ residual capacities. This paper focuses on the design and sizing optimization of the entire system and delivers three main con- tributions. First, this paper proposes a REVB model based on the model of capacity fading of lithium battery cells, which could allow a more realistic result for the design. Second, a power management strategy is presented to regulate the energy flow, for protecting the REVB and other system components. Third, multiple objectives are considered in the optimization model, including minimizing loss of power supply, system cost, and a new in- dicator, namely, potential energy waste. Then, using the simulation results of a five-year working period to calculate the objective functions, a multi-objective evolutionary algorithm NSGA-II is applied to generate the Pareto set of a case for residential usage. In further discussions, the influences of ignoring REVB’s capacity fading and removing the objective of potential energy waste possibility are presented, as well as the comparison of performances between NSGA-II and MOEA/D. The results reveal that the reliability of the system is impaired if ignoring the REVB’s capacity loss, and the proposed indicator is crucial for the design. NSGA-II has a better performance regarding the distribution of solutions and gives better results in this study.
Author Huang Zhiyu
Huang Zhiyu,,
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, Zhilong Xie - [Chongqing University]
Zhilong Xie,,
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, Caizhi Zhang - [Chongqing University]
Caizhi Zhang,,
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, Siew Hwa Chan - [Nanyang Technological University]
Siew Hwa Chan,,
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, Jarosław Milewski (FPAE / IHE)
Jarosław Milewski,,
- The Institute of Heat Engineering
, Yi Xie - [Chongqing University]
Yi Xie,,
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, Yang Yalian
Yang Yalian,,
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, Hu Xiaosong
Hu Xiaosong,,
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Journal seriesEnergy Conversion and Management, ISSN 0196-8904, (A 45 pkt)
Issue year2019
No181
Pages80-92
Publication size in sheets0.6
Keywords in EnglishHybrid energy systemRetired EV batteryMulti-objective optimizationNSGA-IIMOEA/D
ASJC Classification2102 Energy Engineering and Power Technology; 2103 Fuel Technology; 2104 Nuclear Energy and Engineering; 2105 Renewable Energy, Sustainability and the Environment
DOIDOI:10.1016/j.enconman.2018.11.079
URL https://www.sciencedirect.com/science/article/pii/S0196890418313414
Languageen angielski
File
Milewski Huang 2019 Modeling.pdf 3.99 MB
Score (nominal)45
ScoreMinisterial score = 45.0, 05-09-2019, ArticleFromJournal
Publication indicators Scopus Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 2.233; WoS Impact Factor: 2017 = 6.377 (2) - 2017=6.161 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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