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Improving Wind Power Utilization in System Dispatch Considering Output and Ramp Rate Dependent Generator Costs
Journal of Environmental Informatics ( IF 7 ) Pub Date : 2018-01-01 , DOI: 10.3808/jei.201800395
M.Y. Li , , X.H. Zou , Y.G. Niu , W. Wang , J.Z. Liu , , , ,

Making use of the steam heat storage in thermal generators enables them to operate in a "fast mode" to ramp up or down faster than regular, so as to better catch up with the fluctuations of wind power to improve system wind utilization. In such fast mode, generators have output dependent ramp rates and, distinguished from regular units, output and ramp rate dependent coal consumption costs. These fast generators cannot be properly described by using existing economic dispatch models, where generators usually have output dependent cost functions and constant ramp rate limits. This paper presents a new formulation and solution methodology of dynamic economic dispatch for wind-thermal power systems, to take into account ramping capabilities and costs of generators in their fast mode. In our model, the objective is to minimize a two-variable quadratic generator cost function depending on both output levels and ramp rates, and generator ramp rate limits are output dependent piece-wise linear functions. The model is solved by using existing quadratic programming methods, and is demonstrated by using numerical examples on the IEEE 30-bus system containing two 600MW thermal units with practical data. Results show that by using our model, unit ramping capabilities are better utilized in system dispatch to substantially save curtailed wind energy, and total generator costs are reduced.

中文翻译:

考虑到与输出和爬升率相关的发电机成本,提高系统调度中的风电利用率

利用热力发电机中的蒸汽蓄热,使其以“快速模式”运行,比正常情况下上升或下降更快,从而更好地赶上风电的波动,提高系统风能利用率。在这种快速模式下,发电机具有依赖于输出的爬坡率,并且与常规机组不同的是,输出和爬坡率依赖于煤炭消耗成本。使用现有的经济调度模型无法正确描述这些快速发电机,其中发电机通常具有与输出相关的成本函数和恒定的斜坡率限制。本文提出了一种新的风热发电系统动态经济调度的公式和解决方法,以考虑发电机在快速模式下的爬坡能力和成本。在我们的模型中,目标是根据输出水平和斜坡速率来最小化二变量二次发电机成本函数,并且发电机斜坡速率限制是依赖于输出的分段线性函数。该模型是利用现有的二次规划方法求解的,并在包含两台600MW热电机组的IEEE 30总线系统上用实际数据进行了数值算例论证。结果表明,通过使用我们的模型,机组爬坡能力在系统调度中得到了更好的利用,从而大大节省了被削减的风能,并降低了发电机总成本。并通过包含两个 600MW 热电机组的 IEEE 30 总线系统的数值示例和实际数据进行了演示。结果表明,通过使用我们的模型,机组爬坡能力在系统调度中得到了更好的利用,从而大大节省了被削减的风能,并降低了发电机总成本。并通过包含两个 600MW 热电机组的 IEEE 30 总线系统的数值示例和实际数据进行了演示。结果表明,通过使用我们的模型,机组爬坡能力在系统调度中得到了更好的利用,从而大大节省了被削减的风能,并降低了发电机总成本。
更新日期:2018-01-01
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