光伏发电接入电网后的分时电价优化策略研究

发布时间：2017-12-27 02:20

本文关键词：光伏发电接入电网后的分时电价优化策略研究　出处：《西南交通大学》2015年硕士论文　论文类型：学位论文

【摘要】：作为一种常见的可再生能源,太阳能逐步发展成为化石能源的主要替代能源,得到了越来越广泛的应用。随着技术水平的不断提升,光伏发电成本呈现快速下降趋势,光伏发电将占据越来越重要的地位。但光伏电源出力具有随机性、波动性和间歇性,对系统具有负面影响。为了提升电力系统消纳光伏发电的能力,本文通过采用峰谷分时电价措施调整等效负荷曲线,作为需求侧管理的一项基础手段,它可以引导用户来改变用电方式,从而对负荷曲线产生修正作用。为了同时兼顾优化光伏消纳和负荷曲线的削峰填谷,将负荷曲线减去光伏曲线所得的等效负荷曲线作为分时电价的优化对象。采用这种方法可以有效提升光伏出力曲线与负荷曲线之间的相关性。经过适当假设和简化之后,由传统电量电价弹性矩阵推导出基于消费者心理学原理的负荷转移模型,准确地刻画用户对电价变化的响应过程。为峰谷分时电价优化计算提供了基础。合理的时段划分为制定峰谷分时电价奠定了基础。本文采用模糊聚类方法对等效负荷曲线进行时段划分,以半梯形隶属函数建立模糊关系,以传递闭包法求出模糊等价矩阵,再采用基于等价关系的模糊聚类对峰谷时段进行划分。该方法能较好地反映各负荷点的峰谷特性。在以上理论基础上建立并求解了峰谷分时电价优化模型,采用遗传算法对模型进行优化。优化后等效负荷曲线的负荷率升高,峰谷差降低,同时负荷曲线与光伏发电曲线相关性也有明显提升。最后,算例采用多种目标函数进行优化,验证了本文模型优化等效负荷曲线的效果。
[Abstract]:As a common renewable energy, solar energy has gradually developed into a major alternative energy for fossil energy, and has been used more and more widely. With the continuous improvement of the technical level, the cost of photovoltaic power generation presents a rapid decline trend, and photovoltaic power generation will occupy a more and more important position. But the output of photovoltaic power supply is random, fluctuant and intermittent, which has a negative impact on the system. In order to enhance the ability of power system in photovoltaic power generation, through the use of tou pricing measures to adjust the equivalent load curve, as a basic means of demand side management, it can guide the user to change the way of using electricity, resulting in correction effect on load curve. At the same time in order to optimize the photovoltaic consumption and load curve of the peak, the equivalent load curve of load curve minus the PV curve obtained as the optimization object of tou tariff. This method can effectively improve the correlation between the PV output curve and the load curve. After proper assumptions and simplification, the load transfer model based on the principle of consumer psychology is deduced from the traditional electricity price elasticity matrix, which accurately depicts the response process of users to electricity price changes. The basis is provided for the optimal calculation of peak - valley time - sharing price. Reasonable time division has laid the foundation for the time - sharing price of peak and valley. In this paper, the fuzzy clustering method is used to divide the equivalent load curve into periods, and the semi trapezoid membership function is used to establish fuzzy relation. The fuzzy equivalence matrix is obtained by transitive closure method, and then the peak and valley period is divided by fuzzy clustering based on equivalence relation. This method can better reflect the peak and valley characteristics of each load point. On the basis of the above theory, the optimization model of peak and valley time price is established and solved, and the genetic algorithm is used to optimize the model. After the optimization, the load rate of the equivalent load curve increases, the peak and valley difference decreases, and the correlation between the load curve and the photovoltaic power generation curve also improves obviously. Finally, a number of objective functions are used to optimize the example, and the effect of the model to optimize the equivalent load curve is verified.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM73;TM615

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