永磁电机式机械弹性储能机组发电运行控制仿真与实现
发布时间：2018-12-14 14:52
【摘要】：近年来,传统能源的日益匮乏和环境的恶化推动了新能源的大规模发展,使得新能源在我国电网中占比不断增加,但受制于其自身的间歇性和波动性,大规模风电、光伏发电等新能源并网给电网的调峰、调频带来了极大的挑战。已有经验表明,储能技术对于保障大规模间歇化新能源并网并解决传统电力系统电能供需平衡问题具有重大的现实意义。受机械涡卷弹簧储能原理的启发,本团队先前提出了一种新型的机械弹性储能(Mechanical Elastic Energy Storage,MEES)技术,该储能技术将涡卷弹簧密封于储能箱中作为储能元件,通过特殊结构的大储能容量联动式储能箱以及永磁同步发电机(Permanent Magnet Synchronous Generator,PMSG)的控制实现能量的存储与发电。永磁电机式机械弹性储能机组是机械弹性储能技术的重要实现形式,其运行包括储能和发电两大过程,本文对永磁电机式机械弹性储能机组的发电过程模型与控制方法进行了研究,论文的主要工作如下:(1)介绍了机械弹性储能机组的主要结构和工作原理,构建了储能箱、永磁同步发电机和变流器的数学模型,基于数学模型分析了机组的物理特性,阐述了机组发电运行时控制问题的形成,为后续章节控制策略的研究奠定了基础。(2)针对储能箱扭矩和转动惯量同时变化的特性,提出了一种带遗忘因子的最小二乘辨识及L_2增益相结合的反步控制策略。通过带遗忘因子的最小二乘算法同时辨识实时变化的转动惯量和输入转矩,结合反步控制和L_2增益干扰抑制方法设计了非线性反步控制器。仿真结果表明,提出的控制策略能够有效抑制涡簧箱参数时变带来的干扰,保证了永磁同步发电机的转速和输出电流能够以给定参考值运行。(3)考虑到PMSG实际运行过程中内部参数的不确定性,研究了在机组参数完全未知情形下的发电运行控制策略,提出了一种基于模型参考自适应追踪的自适应反步控制策略。通过设计模型参考自适应算法跟踪电感、磁链的参数摄动,以及动力源转矩和转动惯量的实时变化,然后基于追踪结果结合电阻自适应与反步控制设计了非线性反步控制器以最大程度消除所有未知参数扰动带来的不利影响。仿真结果表明,提出的控制策略实现了系统在参数完全未知情况下的快速动态响应和转速精确控制。(4)研究了网侧逆变器的控制策略,构建了小型化机械弹性储能机组实验平台。利用反步理论设计了闭环电压调节器和闭环无功调节器来代替传统PI控制器,基于搭建的机械弹性储能机组实验平台,完成了机组发电运行控制实验,验证了本文提出的发电运行控制策略的可行性和有效性。
[Abstract]:In recent years, the increasing shortage of traditional energy and the deterioration of environment have promoted the large-scale development of new energy, which makes the proportion of new energy in our power grid increasing, but limited by its own intermittent and volatility, large-scale wind power. The connection of photovoltaic and other new energy sources brings great challenges to the peak shaving and frequency modulation of power grid. Experience has shown that energy storage technology is of great practical significance to ensure large-scale intermittent new energy grid and to solve the problem of power supply and demand balance in traditional power system. Inspired by the principle of mechanical coil spring energy storage, the team previously proposed a new mechanoelastic energy storage (Mechanical Elastic Energy Storage,MEES) technique, which seals the coil spring in the storage tank as an energy storage element. The energy storage and generation are realized by the control of special structure large energy storage tank and permanent magnet synchronous generator (Permanent Magnet Synchronous Generator,PMSG). Permanent magnet motor type mechanical elastic energy storage unit is an important realization form of mechanical elastic energy storage technology. Its operation includes two major processes of energy storage and power generation. In this paper, the generation process model and control method of the permanent magnet motor type mechanical elastic energy storage unit are studied. The main work of this paper is as follows: (1) the main structure and working principle of the mechanical elastic energy storage unit are introduced, and the energy storage tank is constructed. Based on the mathematical model of permanent magnet synchronous generator and converter, the physical characteristics of the unit are analyzed, and the formation of the control problem when generating power is described. It lays a foundation for the further study of control strategy. (2) in view of the simultaneous variation of torque and moment of inertia of energy storage tank, a backstepping control strategy is proposed, which combines least square identification with forgetting factor and LAP2 gain. The nonlinear backstepping controller is designed by using the least square algorithm with forgetting factor to identify the moment of inertia and input torque simultaneously. The nonlinear backstepping controller is designed by combining backstepping control with L2 gain interference suppression method. The simulation results show that the proposed control strategy can effectively suppress the disturbance caused by the time-varying parameters of the coil spring box. The speed and output current of PMSG are guaranteed to run with a given reference value. (3) considering the uncertainty of internal parameters in the actual operation of PMSG, An adaptive backstepping control strategy based on model reference adaptive tracking is proposed in this paper. The model reference adaptive algorithm is designed to track the parameter perturbation of inductance, flux, and the real time variation of torque and moment of inertia of power source. Then a nonlinear backstepping controller is designed based on tracking results combined with resistive adaptive and backstepping control to eliminate the adverse effects of all unknown parameter disturbances to the maximum extent. The simulation results show that the proposed control strategy realizes the fast dynamic response and accurate speed control of the system under the condition that the parameters are completely unknown. (4) the control strategy of the grid-side inverter is studied. An experimental platform for miniaturized mechanical elastic energy storage unit is constructed. The closed-loop voltage regulator and the closed-loop reactive power regulator are designed to replace the traditional PI controller by using the backstepping theory. Based on the experimental platform of the mechanical elastic energy storage unit, the power generation operation control experiment of the unit is completed. The feasibility and effectiveness of the proposed control strategy are verified.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM313
[Abstract]:In recent years, the increasing shortage of traditional energy and the deterioration of environment have promoted the large-scale development of new energy, which makes the proportion of new energy in our power grid increasing, but limited by its own intermittent and volatility, large-scale wind power. The connection of photovoltaic and other new energy sources brings great challenges to the peak shaving and frequency modulation of power grid. Experience has shown that energy storage technology is of great practical significance to ensure large-scale intermittent new energy grid and to solve the problem of power supply and demand balance in traditional power system. Inspired by the principle of mechanical coil spring energy storage, the team previously proposed a new mechanoelastic energy storage (Mechanical Elastic Energy Storage,MEES) technique, which seals the coil spring in the storage tank as an energy storage element. The energy storage and generation are realized by the control of special structure large energy storage tank and permanent magnet synchronous generator (Permanent Magnet Synchronous Generator,PMSG). Permanent magnet motor type mechanical elastic energy storage unit is an important realization form of mechanical elastic energy storage technology. Its operation includes two major processes of energy storage and power generation. In this paper, the generation process model and control method of the permanent magnet motor type mechanical elastic energy storage unit are studied. The main work of this paper is as follows: (1) the main structure and working principle of the mechanical elastic energy storage unit are introduced, and the energy storage tank is constructed. Based on the mathematical model of permanent magnet synchronous generator and converter, the physical characteristics of the unit are analyzed, and the formation of the control problem when generating power is described. It lays a foundation for the further study of control strategy. (2) in view of the simultaneous variation of torque and moment of inertia of energy storage tank, a backstepping control strategy is proposed, which combines least square identification with forgetting factor and LAP2 gain. The nonlinear backstepping controller is designed by using the least square algorithm with forgetting factor to identify the moment of inertia and input torque simultaneously. The nonlinear backstepping controller is designed by combining backstepping control with L2 gain interference suppression method. The simulation results show that the proposed control strategy can effectively suppress the disturbance caused by the time-varying parameters of the coil spring box. The speed and output current of PMSG are guaranteed to run with a given reference value. (3) considering the uncertainty of internal parameters in the actual operation of PMSG, An adaptive backstepping control strategy based on model reference adaptive tracking is proposed in this paper. The model reference adaptive algorithm is designed to track the parameter perturbation of inductance, flux, and the real time variation of torque and moment of inertia of power source. Then a nonlinear backstepping controller is designed based on tracking results combined with resistive adaptive and backstepping control to eliminate the adverse effects of all unknown parameter disturbances to the maximum extent. The simulation results show that the proposed control strategy realizes the fast dynamic response and accurate speed control of the system under the condition that the parameters are completely unknown. (4) the control strategy of the grid-side inverter is studied. An experimental platform for miniaturized mechanical elastic energy storage unit is constructed. The closed-loop voltage regulator and the closed-loop reactive power regulator are designed to replace the traditional PI controller by using the backstepping theory. Based on the experimental platform of the mechanical elastic energy storage unit, the power generation operation control experiment of the unit is completed. The feasibility and effectiveness of the proposed control strategy are verified.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM313
【参考文献】
相关期刊论文 前10条
1 国家电网公司"电网新技术前景研究"项目咨询组;王松岑;来小康;程时杰;;大规模储能技术在电力系统中的应用前景分析[J];电力系统自动化;2013年01期
2 米增强;余洋;王璋奇;汤敬秋;;永磁电机式机械弹性储能机组及其关键技术初探[J];电力系统自动化;2013年01期
3 蒋凯;李浩秒;李威;程时杰;;几类面向电网的储能电池介绍[J];电力系统自动化;2013年01期
4 余洋;米增强;吴婷;闫坤;;永磁电机式机械弹性储能机组储能运行控制策略研究[J];储能科学与技术;2012年01期
5 周扬忠;许海军;毛洁;;永磁同步发电系统中转矩和磁链精确线性化解耦控制[J];中国电机工程学报;2012年24期
6 张雪莉;刘其辉;李建宁;李赢;;储能技术的发展及其在电力系统中的应用[J];电气应用;2012年12期
7 史旺旺;刘超;;永磁同步发电机的无传感器滑模辨识及控制[J];电机与控制学报;2012年04期
8 薛树功;瞿成明;魏利胜;;永磁同步电机自抗扰反步控制[J];计算机工程与应用;2012年03期
9 张国驹;唐西胜;齐智平;;平抑间歇式电源功率波动的混合储能系统设计[J];电力系统自动化;2011年20期
10 张维煜;朱q，
本文编号：2378786
本文链接：https://www.wllwen.com/kejilunwen/dianlidianqilunwen/2378786.html
