Optimal unit sizing for small-scale integrated energy systems using multi-objective interval optimization and evidential reasoning approach
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- 作者：F. Weia ; Q.H. Wua ; b ; Z.X. Jinga ; zxjing@scut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; J.J. Chena ; X.X. Zhouc
- 关键词：Multi-objective interval optimization ; Integrated energy system ; Unit sizing ; Evidential reasoning ; Group search optimizer
- 刊名：Energy
- 出版年：2016
- 出版时间：15 September 2016
- 年：2016
- 卷：111
- 期：Complete
- 页码：933-946
- 全文大小：1535 K
文摘
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Cost and risk of investment in small-scale integrated energy systems are considered.
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A multi-objective interval optimization model is presented.
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A novel multi-objective optimization algorithm (MGSOACC) is proposed.
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The evidential reasoning (ER) approach is used to obtain the final optimal solution.
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The MGSOACC and ER can tackle the unit sizing problem efficiently.