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Review on Generation Expansion Planning Optimization by Considering Government Policy Implementation Impact

机译:考虑政府政策实施影响,审查一代扩展规划优化

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Indonesia's Government policy has impacts on generation expansion planning (GEP). Based on the policies, it can be known that to handle the impact of the policies implementation, a GEP optimization model by considering multi-objective function, GEP constraints, and demand side management (DSM) is needed. Therefore, a GEP review is needed especially on objective functions, constraints, and DSM. Based on the review, it can be concluded whether the current optimization method is sufficient to handle the problem or not and determined the potential models that can be used. This research conducted a GEP review with several topics such as objective functions, constraints, and DSM. The purpose of this research is to determine whether the optimization methods that have been used today are sufficient or not to solve the government policies problems and determine the GEP optimization models that can be used to overcome the problems. It is expected that with the right model, the optimum GEP results will be obtained to minimize the GEP errors. The review results showed that the problems can be solved by using a combination of mature models. The models are combination of multi-objective function, technical and policy constraint, and DSM models.
机译:印度尼西亚政府政策对一代扩展规划(GEP)产生了影响。根据策略,可以知道,通过考虑多目标函数,GEP约束和需求侧管理(DSM),可以通过考虑策略实现,GEP优化模型的影响。因此,需要GEP审查,尤其是客观函数,约束和DSM。基于审查,可以得出结论,当前的优化方法是否足以处理问题,并确定可以使用的潜在模型。该研究通过了几个主题,如客观函数,约束和DSM进行了GEP审查。本研究的目的是确定今天已使用的优化方法是否足够或不解决政府政策问题,并确定可用于克服问题的GEP优化模型。预期与正确的模型一起,将获得最佳GEP结果以最小化GEP误差。审查结果表明,使用成熟模型的组合可以解决问题。该模型是多目标函数,技术和策略约束和DSM模型的组合。

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