微网系统多时间尺度调度运行优化方法研究

发布时间：2018-02-28 14:04

本文关键词： 微网微网优化日前调度多时间尺度 15分钟调度　出处：《沈阳工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：微网是由分布式电源、储能装置、能量转换装置、相关负荷和监控、保护装置汇集而成的小型发配电系统,是一个能够实现自我控制、保护和管理的自治系统,既可以并网运行,也可以孤立运行。要想保证微网高效、经济地运行,就需要对微网内部各微源间、微网与大电网间的运行调度和能量优化进行管理,研究制定出合理的控制策略。本文在算法设计方面,首先,在分析微网优化运行调度的基础上,以包含风电、光伏发电系统、热电联产机组、燃气热泵、电冷(热)以及配电网的微网系统为背景,分别建立了各微源的成本模型;其次,针对日负荷优化调度问题,以微网一天24h内的所有发电单元的发电成本及污染物排放治理费用之和最小化为目标,采用微源不停机运行模式,建立了以小时为周期的包含污染物排放治理费用、微网与外部电网的电能交换成本、各微源的燃料消耗成本、折旧成本、运行维护成本的优化模型;并对微源不停机运行模式调度时负载率低的问题,采用微源可停机运行模式,提出了基于负荷分段机制的微网优化调度算法,根据负载率的不同,选择不同的微源参与优化调度,同时在优化模型中加入开关机成本;最后,针对以小时为单位的调度响应不及时问题,采用多时间尺度调度方法,在以小时为周期的调度基础上,加入15分钟调度,建立了15分钟调度模型。在算法验证方面,采用典型的负荷数据,运用遗传算法对所建立的模型求解,分别对各调度机制下的微网孤岛运行和并网运行进行仿真验证,仿真结果表明,采用负荷分段机制的24h日调度,能够有效提高机组负载率,并减小电平衡差和热平衡差;多时间尺度调度可以对小幅度的负荷及间歇式功率波动做出实时响应。
[Abstract]:The microgrid is a small generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, related loads and monitoring and protection devices. It is an autonomous system capable of self-control, protection and management. In order to ensure the efficient and economical operation of the microgrid, it is necessary to manage the operation scheduling and energy optimization among the microsources within the microgrid and between the microgrid and the large power grid. In the aspect of algorithm design, firstly, on the basis of analyzing the optimal operation and scheduling of microgrid, it includes wind power, photovoltaic power generation system, cogeneration unit, gas heat pump, and so on. Under the background of electric cooling (heat) and micro-grid system of distribution network, the cost models of each microsource are established respectively. Secondly, aiming at the problem of daily load optimization, Aiming at minimizing the sum of generation cost and pollutant emission treatment cost of all power generation units within 24 hours a day, the micro-source no-stop operation mode is adopted, and the hourly treatment cost including pollutant emission treatment is established. The power exchange cost between microgrid and external power grid, the fuel consumption cost, depreciation cost and operation and maintenance cost of each micro-source are optimized. An optimal scheduling algorithm for microgrid based on load segmentation mechanism is proposed. According to the different load rates, different microsources are selected to participate in the optimal scheduling. At the same time, the switching machine cost is added to the optimization model. In order to solve the problem of untimely response of hourly scheduling, a 15-minute scheduling model is established by using multi-time scale scheduling method and adding 15-minute scheduling on the basis of hourly periodic scheduling. In the aspect of algorithm verification, a 15-minute scheduling model is proposed. The typical load data and genetic algorithm are used to solve the established model. The simulation results show that the load segmentation mechanism is used for 24 hours daily scheduling, and the simulation results show that the microgrid islanding operation and the grid-connected operation under each scheduling mechanism are verified respectively. It can effectively improve the load rate of the unit and reduce the electric balance difference and thermal balance difference, and the multi-time scale scheduling can make real-time response to the small load and intermittent power fluctuation.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73;TM76

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