Target-oriented robust optimization of a microgrid system investment model
Target-oriented robust optimization of a microgrid system investment model作者机构：Department of Industrial Engineering De La Salle University Manila1004 the Philippines
出 版 物：《Frontiers in Energy》 (能源前沿（英文版）)
年 卷 期：2018年第12卷第3期
页 面：440-455页
核心收录：
学科分类：12[管理学] 120204[管理学-技术经济及管理] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0807[工学-动力工程及工程热物理]
主 题：microgrid renewable resources robust optimization target-oriented robust optimization
摘 要：An emerging alternative solution to address energy shortage is the construction of a microgrid system. This paper develops a mixed-integer linear programming microgrid investment model considering multi-period and multi-objective investment setups. It further investigates the effects of uncertain demand by using a target-oriented robust optimization （TORO） approach. The model was validated and analyzed by subjecting it in different scenarios. As a result, it is seen that there are four factors that affect the decision of the model： cost, budget, carbon emissions, and useful life. Since the objective of the model is to maximize the net present value （NPV） of the system, the model would choose to prioritize the least cost among the different distribution energy resources （DER）. The effects of load uncertainty was observed through the use of Monte Carlo simulation. As a result, the deterministic model shows a solution that might be too optimistic and might not be achievable in real life situations. Through the application of TORO, a profile of solutions is generated to serve as a guide to the investors in their decisions considering uncertain demand. The results show that pessimistic investors would have lower NPV targets since they would invest more in storage facilities, incurring more electricity stock out costs. On the contrary, an optimistic investor would tend to be aggressive in buying electricity generating equipment to meet most of the demand, however risking more storage stock out costs.
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