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Improving performance (Merit Order) of coal based Thermal Power Plants by optimising fuel transportation using Goal Programming

机译:采用目标规划优化燃料运输,提高煤基热电厂的性能(优点阶)

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摘要

In India, approximotely 60% of electricity is generated by coal based power plants. The power tariff has two components: Fixed charge and variable charge. The fixed charge is dependent on the mainly initial investment but the variable component depends on fuel charges and type of machine (heat rate). The load dispatch centre gets information of variable charges of each plant and gives priority to plants for scheduling of power having low variable charges (this is called Merit Order Generation). Cool mines are allocated to power plants as and when plants are conceived; so that plants can be designed according to type of quality of its coal (GCV, moisture, ash, Sulphur etc.) available from the allocated mine. The impact of coal cost (Coal cost + transportation cost) on variable component of the tariff is phenomenal. A power generating company can have many plants and their allocated mines, in this case coal swapping is an option to optimize overall variable cost and plants can be in merit order generation and get adequate scheduling for power generation. The goal programming technique is used for optimizing the coal cost for reducing variable charges.
机译:在印度,大约60%的电力由基于煤的发电厂产生。电力关税有两个组件:固定充电和可变费用。固定电荷取决于主要初始投资,但可变部件取决于燃料电荷和机器类型(热速率)。负载调度中心获取每个工厂的可变电荷的信息,并优先考虑植物,以便调度具有低可变电荷的功率(这称为优点时代)。凉爽的矿山被分配给发电厂,因为植物被构思;因此,植物可以根据其煤(GCV,水分,灰,硫等)的质量的类型设计。煤炭成本(煤炭成本+运输成本)对关税可变成分的影响是现象。发电公司可以有许多植物及其分配的地雷,在这种情况下,煤交换是优化整体可变成本的选项,植物可以处于优点时生成并获得足够的发电调度。目标编程技术用于优化降低可变费用的煤炭成本。

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