基于经济优化的微电网能量协调控制研究

发布时间：2019-04-12 06:24

【摘要】：近年来随着全球化石能源的骤减和环境问题的凸显,由风能、太阳能等可再生能源及储能装置组成的微电网得到较大的发展。纵观能源发展趋势,随着一系列国家节能减排政策相继制定实施,分布式能源和微电网的研究与普及已上升到国家的战略高度,未来必然会有越来越多的新能源接入大电网。微电网为实现经济最优,需要计算得到微电网协调控制的控制量。由于微电网中分布式电源的渗透率越来越高,其经济优化也越来越复杂,因此需要对微电网能量协调优化的算法进行更进一步的研究。本文围绕微电网系统的协调优化和能量控制展开研究,主要研究内容有：(1)研究国内外关于微电网发展的状况,从技术角度归纳微电网研究中的核心。介绍微电网运行控制的基础理论知识。(2)对风储荷微电网模型中的风力发电机和蓄电池微源建立能满足实际约束的外特性数学模型。考虑实时电价、风功率预测以及负荷状态构建微电网运行费用最小目标函数,引入带残差修正的灰色预测模型和支持向量机模型,输出具体时段的风荷能量预测信息。(3)基于滚动时域优化基本框架,采用对混合整数线性规划法(MILP)、遗传算法(GA)和改进的复杂过程全局优化进化算法(IEACOP)微电网复杂非线性协调控制模型进行预测时域最优求解。(4)明确了一种微电网协调控制系统平台的设计目标和体系结构,并对系统中应用软件的设计进行了阐述。微电网能量协调优化管理本质上是离散、非线性、多目标的优化组合问题,本文研究了更适应于微电网的预测方法和控制策略。实验结果表明,所用方法充分发挥了滚动时域优化与智能算法的优势,满足微电网各组成部分之间能量协调控制和经济最优的要求,能够有效优化风储网荷之间的能量走向及合理调度,为微电网系统能量协调优化提供了新的研究思路。
[Abstract]:In recent years, with the rapid decline of global fossil energy and the highlight of environmental problems, the micro-grid composed of renewable energy and energy storage devices such as wind and solar energy has been greatly developed. Throughout the energy development trend, with a series of national energy saving and emission reduction policies being formulated and implemented one after another, the research and popularization of distributed energy and microgrid has risen to the strategic level of the country, and more new energy sources will inevitably be connected to the large power grid in the future. In order to realize economic optimization, microgrid need to calculate the control quantity of microgrid coordination control. Because the permeability of distributed power supply in microgrid is getting higher and higher, and its economic optimization is more and more complex, it is necessary to further study the energy coordination optimization algorithm of microgrid. This paper focuses on the coordination optimization and energy control of microgrid system. The main contents are as follows: (1) the development of microgrid at home and abroad is studied and the core of microgrid research is summarized from the point of view of technology. The basic theory of micro-grid operation control is introduced. (2) the external characteristic mathematical model of wind turbine and battery micro-source in wind storage micro-grid model is established, which can satisfy the practical constraints. Considering real-time electricity price, wind power forecast and load state, the minimum objective function of operation cost of microgrid is constructed. The grey forecasting model with residual error correction and support vector machine model are introduced. Output wind load energy prediction information for specific time period. (3) based on the basic framework of rolling time domain optimization, the mixed integer linear programming (MILP),) method is adopted. The genetic algorithm (GA) and the improved global optimization evolutionary algorithm (IEACOP) are used to solve the predictive time-domain optimal control model of complex nonlinear coordination control for microgrid. (4) A platform for micro-grid coordinated control system is defined. The design objectives and architecture of the At the same time, the design of application software in the system is described. In essence, the optimal management of microgrid energy coordination is a discrete, nonlinear, multi-objective optimal combination problem. In this paper, the predictive method and control strategy which are more suitable for microgrid are studied. The experimental results show that the proposed method gives full play to the advantages of the rolling time domain optimization and the intelligent algorithm, and meets the requirements of energy coordination control and economic optimization among the components of the microgrid. It can effectively optimize the energy trend and reasonable dispatching between the wind storage network and load, which provides a new research idea for the energy coordination optimization of the microgrid system.
【学位授予单位】：北方工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

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