基于云计算的智能电网调度系统的研究

发布时间：2018-05-11 17:42

本文选题：智能电网 + 电力调度　；参考：《天津理工大学》2014年硕士论文

【摘要】：随着电力建设规模的扩大和电力企业的市场化改革，现代电力系统正朝着分布式、信息化、自动化的方向发展，其生产结构和运行方式将会日益复杂化。在新形势之下，电力调度中心作为整个电网运行的指挥控制中心，，其数据信息分布之广泛、数量之庞大、结构之复杂以及处理和存储信息要求之高，这都使得传统的电网调度信息平台在信息集成、分析、计算和存储等方面难以满足电网运行监控的需求。为了能够解决这些问题，本文将云计算引入智能电网调度系统中，利用云计算的相关技术为电力调度提供更为智能化的决策支持和实现方式。云计算是分布式计算技术的进化、虚拟化技术的发展、面向服务的体系架构（SOA）的延伸、信息资源的智能管理和调配机制的体现，具有超高性能、超大规模、廉价等特点，是电网智能化计算平台有力的技术组成。目前，云计算在计算机信息等领域中的应用已取得显著成果，但在电力系统中还处于起步阶段，电力系统的云计算平台还处于构想和规划阶段。电力调度是整个电网的“大脑”，担负着全网安全稳定、高效运行、管理调配、节能环保的重要职责。因此，基于云计算的智能电网调度系统的研究有助于在更大范围内促进云计算在智能电网中的应用。本文首先介绍了云计算的基本概念、主要特点以及Map/Reduce计算模型和HDFS系统等云计算相关的核心技术，并结合智能电网调度系统的结构和特点，设计了基于云计算的智能电网调度系统平台的逻辑架构；然后在对传统任务调度算法和遗传算法（GA）研究的基础上，结合智能电网调度系统数据信息采集和处理的特点，提出了一种基于改进遗传算法（IGA）的任务调度算法，目的在于提高智能电网调度系统的分布式数据处理能力和资源优化配置能力；最后部署了模拟智能电网运行调度数据中心的Hadoop实验平台，在该平台上通过仿真算例和数据分析，将先进先出调度算法、公平调度算法、计算能力调度算法、自适应遗传算法（AGA）与改进遗传算法进行性能比较，验证了基于IGA的云计算任务调度算法是一种能够有效提高智能电网调度系统中海量任务的分析与计算效率的任务调度算法。
[Abstract]:With the expansion of electric power construction scale and the marketization reform of electric power enterprises, the modern power system is developing towards the direction of distribution, information and automation, and its production structure and operation mode will become more and more complicated. Under the new situation, as the command and control center of the whole power network, the power dispatching center has a wide distribution of data and information, a large number of data, a complex structure, and a high requirement for processing and storing information. This makes it difficult for the traditional grid dispatching information platform to meet the needs of power grid operation monitoring in the aspects of information integration, analysis, calculation and storage. In order to solve these problems, this paper introduces cloud computing into smart grid dispatching system, using cloud computing technology to provide more intelligent decision support and implementation for power dispatching. Cloud computing is the evolution of distributed computing technology, the development of virtualization technology, the extension of Service-Oriented Architecture (SOA), and the embodiment of intelligent management and deployment mechanism of information resources. It is a powerful technical component of intelligent computing platform for power grid. At present, the application of cloud computing in computer information and other fields has achieved remarkable results, but in the power system is still in its infancy, and the cloud computing platform of power system is still in the stage of conception and planning. Power dispatching is the "brain" of the whole power grid, which is responsible for the safety and stability, efficient operation, management and allocation, energy saving and environmental protection. Therefore, the research of smart grid dispatching system based on cloud computing is helpful to promote the application of cloud computing in smart grid. This paper first introduces the basic concept of cloud computing, the main characteristics and the core technologies related to cloud computing, such as Map/Reduce computing model and HDFS system, and combines the structure and characteristics of smart grid dispatching system. The logical framework of smart grid dispatching system platform based on cloud computing is designed, and then based on the research of traditional task scheduling algorithm and genetic algorithm, the paper combines the characteristics of smart grid dispatching system data collection and processing. A task scheduling algorithm based on improved genetic algorithm (IGA) is proposed to improve the distributed data processing capability and resource optimal allocation ability of smart grid dispatching system. Finally, the Hadoop experimental platform is deployed to simulate the smart grid dispatching data center. Through the simulation examples and data analysis, the first-in-first-out scheduling algorithm, the fair scheduling algorithm, the computing ability scheduling algorithm are put forward. Comparing the performance of adaptive genetic algorithm (AGA) and improved genetic algorithm (GA), it is verified that cloud computing task scheduling algorithm based on IGA is a task scheduling algorithm which can effectively improve the efficiency of analyzing and computing mass tasks in smart grid scheduling system.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM76;TM73

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