An Optimal Planning Method for Combined Cooling Heating and Power System

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• 作者：Peng Chen ; ^{523873978@qq.com} ; Lin Guan ; Zongshun Tang ; Xiaocan Chen ; Zetao Jiang
• 关键词：Combined cooling heating and power microgrid system ; Framework ; Multi-objective Particle Swarm Optimization method ; Interior Point method
• 刊名：Energy Procedia
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：103
• 期：Complete
• 页码：123-128
• 全文大小：428 K
• 卷排序：103

文摘

In this paper, a combined cooling heating and power micro-grid system framework which considers lots of device types and possible connections is presented. Based on this framework, a mathematical model considering constraints of load demand and operation is built; its optimal objective is to minimize the cost and carbon emission. The Multi-objective Particle Swarm Optimization (MPSO) method with a feedback loop is used to choose the best capacity of the equipment, and the Interior Point (IP) method algorithm is embedded in the MPSO to solve the operational optimization problem. The approach is applied to a mixed commercial and residential area of the Pearl River Delta (PRD) as a case study, verified the effectiveness of the planning method.