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Estimation of Off Shore Wind Power Potential and Cost Optimization of Wind Farm in Indian Coastal Region by Using GAMS

机译:基于GAMS的印度沿海地区海上风电潜力估算与风电场成本优化

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This paper presented an optimization based analysis to minimize the levelized cost of energy to find the effective cost model based on different offshore wind energy cost parameter. A numerical study is carried out to demonstrate the model. India is fast growing country in the economy but it is still in its initial stage where policy frameworks are formed by MNRE and getting with the tools to enter into the offshore market. The energy potential along the Indian coastal region (Shallow water region i.e. less than 50m water depth) is immense and it is approximately equal to 42% of present wind power capacity. Generation cost of 1 MWh or KWh of electricity is an important consideration for development and operation of any wind farm. This study examines the economic keys regarding cost for offshore wind farms to formulate an effective cost model so that we can get optimal solution for levelized production cost. In this paper, the optimization model is solved by using CONOPT solver in GAMS. The results obtained by solving problem with GAMS are better and effective in terms of LPC.
机译:本文提出了一种基于优化的分析方法,以最小化能源的平均成本,从而根据不同的海上风能成本参数找到有效的成本模型。进行了数值研究以证明该模型。印度是经济中快速增长的国家,但它仍处于起步阶段,MNRE制定了政策框架,并获得进入海外市场的工具。印度沿海地区(浅水区,即水深小于50m)的能源潜力巨大,大约等于当前风力发电能力的42%。 1兆瓦时或千瓦时的发电成本是任何风电场开发和运营的重要考虑因素。这项研究研究了有关海上风电场成本的经济关键,以建立有效的成本模型,从而使我们能够获得最佳的解决方案,以实现水平的生产成本。本文利用GAMS中的CONOPT求解器对优化模型进行求解。通过LMS解决GAMS问题获得的结果更好,更有效。

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