考虑风力不确定性的运行储备最优发电计划

B. D. Hari Kiran, M. S. Kumari
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引用次数: 3

摘要

传统能源发电成本的增加,促使系统寻找更便宜、更清洁的能源,如风能和太阳能。在过去的几年里,风能整合在电力市场上引起了越来越多的关注。但是,由于风能预测的不确定性和维持系统处于平衡状态,需要额外的服务。这些附加服务被称为辅助服务。本文提出了在风力集成不确定条件下,火电机组在提供运行备用(辅助服务)计划的同时满足需求的调度方法。本文考虑了运行成本目标的最小化,该目标包括发电机组燃料成本和由于风能预测的间歇性而需要支付的储备成本。考虑了风的不确定性,采用威布尔概率密度函数(PDF)对风的输出进行了建模。采用具有优先级列表的动态规划方法对热单元进行调度。通过对6台和10台火电机组测试系统以及一台风力发电机组测试系统的实例研究,说明了该方法的性能和可行性,结果令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal generation scheduling with operating reserves including wind uncertainties
The increase in the production cost of electricity from conventional energy sources, led systems to look for cheaper and cleaner energy sources like wind and solar. Over past few years wind energy integration drew more attention in the electricity markets. But, due to uncertainties in wind energy forecasts and to maintain system under balance condition, additional services are required. Such additional services are named as Ancillary Services. This paper presents a scheduling methodology for thermal generators, under wind integration uncertainties to serve the demand, while providing a schedule for operating reserve (Ancillary Services). In this paper minimization of Operating cost objective is considered which includes thermal units fuel cost and cost paid to reserve, required due to intermittency in wind energy forecast. The uncertainties in wind are also considered, wind output is modelled using Weibull probability density function (PDF). Dynamic Programming method with Priority-list is used to schedule thermal units. The performance and feasibility of the projected method is illustrated with case studies on 6 and 10 thermal generators test systems, along with one wind generator is considered and results are found encouraging.
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