Peak Load Management with Wheeling in a Gas Turbine Station under Availability Based Tariff

Shubhranshu Kumar Tiwary
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引用次数: 1

Abstract

The more energy we save, the less energy we would need to produce. Engineers nowadays are employing more innovative practices to increase energy efficiency. As per the International Statistical Institute, with the Gross National Income of 2020$ per capita, in the year 2018, India is still a developing country. And for the rapidly developing nations with a large population, like China and India, effective utilization of pre-existing resources is of utmost importance. The industrial sector as well the irrigation and farming populace, which are the highest consumers of electricity, need to optimize their energy consumption with adept implementation of methods such as power wheeling and cogeneration. In this paper, a case-study of a Gas Turbine Station at Damodar Valley Corporation, Maithon was undertaken with stress on wheeling of power. Cogeneration has also been studied together with the plan of Availability Based Tariff (ABT) to improve grid regulations and increase the power injected in to the grid. The issue has been simulated with the help of Genetic Algorithm Optimization Toolbox (GAOT) toolbox of MATLAB-R2016a.
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基于可用性电价的燃气轮机站轮转调峰管理
我们节省的能源越多,我们需要生产的能源就越少。如今,工程师们正在采用更多创新的做法来提高能源效率。根据国际统计研究所的数据,按照2020年人均国民总收入计算,2018年印度仍然是一个发展中国家。对于像中国和印度这样人口众多的快速发展国家来说,有效利用现有资源是至关重要的。工业部门以及灌溉和农业人口是电力的最大消费者,需要通过熟练实施诸如电力轮转和热电联产等方法来优化其能源消耗。本文以美国马赛市达摩达谷公司某燃气轮机站为例,重点研究了动力轮转问题。热电联产还与基于可用性的电价计划(ABT)一起进行了研究,以改善电网法规并增加向电网注入的功率。利用MATLAB-R2016a的遗传算法优化工具箱(GAOT)工具箱对该问题进行了仿真。
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