计及风电不确定性与需求响应的鲁棒优化调度研究

发布时间：2018-10-24 21:57

【摘要】：为了改善能源短缺和环境保护的现状,适应全球能源互联网的发展需求,大力发展风电、光伏等清洁能源已经得到各国的普遍认可。然而,风电的随机性、波动性和反调峰等特点,成为阻碍大规模风电消纳的主要原因,同时也给系统的安全稳定运行带来巨大威胁。需求响应作为重要的灵活互动响应模式,能够实现负荷资源与发电资源的优化调度,也为提高风电并网电量提供了一条重要途径。论文主要从需求侧和发电侧两方面进行考虑,围绕需求响应参与下的风电消纳策略展开研究,旨在解决风电消纳问题以及削弱风电不确定性给系统安全稳定运行带来的影响。首先提出一种基于遗传K-means算法的二次聚类方法,通过聚类分析挖掘用户负荷的需求响应潜力,确定需求响应的实施对象,分析其实施需求响应的可行性和必要性,其中重点研究了空调负荷的需求响应潜力,并将其作为重要的需求侧资源纳入到发电调度中。在此基础上,针对需求侧建立需求响应优化调度模型,实现对风电、火电以及需求侧资源优化调度的收益最大化。通过与传统机组组合模型进行对比,说明需求响应既能实现峰时段用电负荷的削减和转移,使得日负荷曲线更加平缓;还能实现系统备用的合理分配,降低发电成本,从而提高风电并网电量,减少弃风现象。而对于发电侧则实现风电的鲁棒优化,对需求响应优化调度模型进行改进,建立鲁棒双层优化调度模型,通过对比说明其主要目的在于为发电侧和需求侧资源的经济调度划定出“经济红线”,用于检验系统实际经济调度收益的合理性。这样在保证系统安全稳定运行的前提下,提高风电消纳水平,使得研究更加具有现实意义。
[Abstract]:In order to improve the current situation of energy shortage and environmental protection, adapt to the development of global energy Internet, vigorously develop wind power, photovoltaic and other clean energy has been widely recognized. However, the randomness, volatility and anti-peak-shaving characteristics of wind power are the main reasons that hinder the large-scale wind power consumption, and also bring a great threat to the safe and stable operation of the system. As an important flexible and interactive response mode, demand response can realize the optimal scheduling of load resources and generation resources, and also provide an important way to improve the grid connection of wind power. This paper mainly considers the demand side and the generation side, and studies the strategy of wind power absorption under the participation of demand response, aiming at solving the problem of wind power consumption and weakening the impact of wind power uncertainty on the safe and stable operation of the system. First of all, a quadratic clustering method based on genetic K-means algorithm is proposed. Through clustering analysis, the demand response potential of user load is mined, the implementation object of demand response is determined, and the feasibility and necessity of implementing demand response are analyzed. The demand response potential of air conditioning load is studied, and it is integrated into power generation scheduling as an important demand side resource. On this basis, the demand response optimal scheduling model is established to maximize the benefits of wind power, thermal power and demand-side resource optimization scheduling. By comparing with the traditional unit combination model, it is shown that the demand response can not only reduce and transfer the peak period load, make the daily load curve more smooth, but also realize the reasonable allocation of system reserve and reduce the generation cost. In order to improve the wind power grid power, reduce the phenomenon of wind abandonment. For the generation side, the robust optimization of wind power is realized, the optimal scheduling model of demand response is improved, and the robust bilevel optimal scheduling model is established. The main purpose of this paper is to draw the "economic red line" for the economic dispatch of power generation side and demand side resources, which can be used to check the rationality of the actual economic dispatch income of the system. In order to ensure the safe and stable operation of the system, improve the wind power absorption level, make the research more practical significance.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73

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