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Sustainable energy generation for a rapidly growing power system network in South East asia using optimum control theory

机译:使用最佳控制理论为东南亚快速增长的电力系统网络提供可持续能源生产

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We developed a dynamic model to find the optimum control strategy by integrating various energy sources in a growing power system in South East Asia. We take Bangladesh Power System as an example for case study to demonstrate the applicability of the model. According to some recent study, the major energy source, natural gas that generates almost 60 percent of the total energy in Bangladesh will be depleted within 20 to 25 years. This is the main reason that the policy makers of this country want to increase the energy production using a coal-based thermal plant which is environmentally detrimental for a tropical country such as Bangladesh that is mostly a delta formed by two major rivers from the Himalayas (Ganges-Brahmaputra). By considering the adverse effects on human/animal health and climate, it has become urgent for the country to gradually replace polluting and expensive energy sources with alternative sustainable energy sources without adversely affecting the economy of power generation. We developed a model to optimize energy generation by reducing the uses of dirty (coal) and expensive (liquid fuel) energy sources with clean and available generators. At the same, time we minimized the cost of power generation.
机译:我们开发了一种动态模型,以通过在东南亚的越来越多的电力系统中整合各种能源来找到最佳控制策略。我们将孟加拉国电力系统作为案例研究的示例,以证明模型的适用性。根据最近的一些研究,主要的能源,产生近60%的孟加拉国总能量的天然气将在20至25年内耗尽。这是这个国家的决策者希望使用基于煤的热植物来增加能源生产的主要原因,这对孟加拉国等热带国家环境有害,这主要是来自喜马拉雅山的两个主要河流( Ganges-brahmaputra)。通过考虑对人类/动物健康和气候的不利影响,该国迫切需要逐步取代污染和昂贵的能源,替代可持续的能源,而不会对发电经济产生不利影响。我们开发了一种模型,可以通过用干净和可用的发电机减少脏(煤)和昂贵(液体燃料)能源的用途来优化能量产生。同时,我们最小化发电成本。

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