考虑源荷协调的风电并网系统旋转备用容量优化

发布时间：2018-05-15 06:44

本文选题：风电 + 弃风　；参考：《东北电力大学》2017年硕士论文

【摘要】：风电的接入给电力系统带来更大不确定性,要求电网公司购买更多的旋转备用以维持电力系统的功率平衡和稳定,此时仅靠常规电源参与调节、提供旋转备用是不够的,因此充分挖掘利用系统中其他旋转备用调节资源,兼顾系统运行可靠性与经济性的旋转备用优化配置具有重要意义。本文考虑可中断负荷、弃风作为特殊旋转备用资源与发电侧传统机组旋转备用资源的协调作用,根据风电并网系统旋转备用需求特点,提出一种基于多场景的概率性旋转备用优化方法。首先,该方法综合考虑风电预测误差、负荷波动及发电机非计划停运不确定性因素对旋转备用的需求,利用蒙特卡洛仿真法对不确定性因素进行建模。其次,根据建立的不确定性因素模型,基于场景分析方法,对系统所有运行场景进行合理缩减,获得一组系统最可能的运行状态,将系统中复杂多变的不确定性因素转化成多个确定性场景问题,对不确定性因素进行量化。此外,将需求侧可中断负荷、发电侧风电弃风作为特殊旋转备用资源融入发电日前调度计划,分析计算不确定性因素、旋转备用需求以及可中断负荷、弃风之间的相互关系,利用数学表达式的方式对其明确表示。最后,以系统购电总费用最低为目标函数建立本文机组组合优化模型,在仅包含机组燃料成本、开机成本的传统机组组合目标函数基础上加入了常规电源预留旋转备用成本以及对可中断负荷、弃风的补偿成本,以此降低更多旋转备用需求对系统成本的影响,获得使系统经济性最优的各时段旋转备用优化配置量。通过对IEEE 30节点、IEEE 118节点系统进行算例分析,验证了本文考虑可中断负荷、弃风融入的旋转备用优化模型能够有效降低系统购电成本,节约旋转备用资源,对风电并网系统旋转备用的预留以及系统资源的全面整合具有指导意义。
[Abstract]:The access of wind power brings greater uncertainty to the power system, which requires the Power Grid Corp to buy more rotating spare to maintain power balance and stability. At this time, it is not enough to use conventional power to adjust and provide rotating standby. Therefore, the other rotating spare adjustment resources in the system are fully exploited and the system operation can be taken into consideration. It is of great significance for the optimal configuration of rotating standby by sex and economy. This paper considers the coordination function of the interruptible load and the discarded wind as a special rotating reserve resource and the rotating standby resource of the traditional generating unit on the power generation side. According to the characteristics of the rotating standby requirement of the wind power grid connected system, a probabilistic rotating standby optimization method based on multi scene is proposed. First, this method comprehensively considers the demand of wind power forecast error, load fluctuation and generator unplanned outage uncertainty factors to rotating standby. Monte Carlo simulation method is used to model the uncertain factors. Secondly, based on the established uncertainty factor model, all operation scenes of the system are combined with the scenario analysis method. In order to obtain the most likely operation state of a set of systems, the complex and changeable factors in the system are transformed into multiple deterministic scene problems, and the uncertain factors are quantified. In addition, the demand side interruptible load and the power generation side wind abandon wind as special rotating spare resources are integrated into the generation scheduling plan, and the calculation is analyzed and calculated. The uncertainty factors, the rotation reserve demand, the interruptible load, the relationship between the discard and the wind, are clearly expressed in the way of mathematical expressions. Finally, this paper sets up a combination optimization model of this paper with the minimum total cost of the system purchasing power as the objective function, in the traditional unit combination of the unit fuel cost and the start-up cost. On the basis of the number, a conventional power supply is added to reserve the rotating spare cost and the compensation cost for the interruptible load and the discarded wind, in order to reduce the influence of more rotating standby demand on the system cost, and obtain the optimal configuration of the rotation reserve for the optimal time period of the system. The analysis of the IEEE 30 node and the IEEE 118 node system is carried out by an example. It is proved that the rotating standby optimization model, which considers the interruptible load in this paper, can effectively reduce the cost of power purchase and save the rotating reserve resources. It is of guiding significance to the reservation of the rotating reserve of the wind power grid connected system and the comprehensive integration of the system resources.

【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM614

【参考文献】