摘 要
随着电力需求的不断增长和电网结构的日益复杂，电力系统的调度与决策面临着前所未有的挑战。为了提高电网的运行效率、安全性和经济性，智能调度与决策支持系统应运而生，成为现代电力系统不可或缺的重要组成部分。本文全面探讨了电力系统中的智能调度与决策支持系统的构建、关键技术及其应用效果。本文阐述了智能调度与决策支持系统在电力系统中的重要性。该系统通过集成先进的信息技术、大数据分析和人工智能算法，实现对电网运行状态的实时监测、预测评估和优化调度。它不仅能够快速响应电网中的突发事件，有效避免大面积停电事故的发生，还能通过优化调度策略，降低电网运行成本，提高能源利用效率。本文详细介绍了智能调度与决策支持系统的关键技术。这包括数据采集与处理技术，用于实时获取电网中的各类运行数据；大数据分析技术，用于挖掘数据中的隐藏规律和潜在价值；以及人工智能算法，如机器学习、深度学习等，用于构建预测模型、优化调度方案等。这些技术的有机结合，为电力系统的智能调度与决策提供了强大的技术支持。本文分析了智能调度与决策支持系统在电力系统中的实际应用效果。通过实际案例，展示了该系统在提升电网运行效率、降低能耗、提高供电可靠性和安全性等方面的显著成效。同时，也指出了当前系统在数据质量、算法精度、系统安全等方面存在的问题，并提出了相应的改进建议和未来发展方向。
关键词：电力系统 智能调度 决策支持系统
Abstract
With the increasing demand for power and the increasing complexity of power grid structure, the dispatching and decision-making of power system are faced with unprecedented challenges. In order to improve the operation efficiency, security and economy of power grid, intelligent dispatching and decision support system came into being, and has become an indispensable part of modern power system. This paper discusses the construction, key technology and application effect of intelligent scheduling and decision support system in power system. This paper describes the importance of intelligent scheduling and decision support system in power system. By integrating advanced information technology, big data analysis and artificial intelligence algorithm, the system realizes real-time monitoring, prediction and evaluation of power grid operation status and optimal scheduling. It can not only quickly respond to emergencies in the power grid, effectively avoid the occurrence of large-scale power outages, but also reduce the operation cost of the power grid and improve the energy utilization efficiency by optimizing the scheduling strategy. This paper introduces the key technologies of intelligent scheduling and decision support system in detail. This includes data acquisition and processing technology, which is used to obtain all kinds of operational data in the power grid in real time; Big data analysis technology for mining hidden rules and potential value in data; And artificial intelligence algorithms, such as machine learning, deep learning, etc., are used to build predictive models, optimize scheduling schemes, etc. The organic combination of these technologies provides powerful technical support for intelligent scheduling and decision-making of power system. This paper analyzes the practical application effect of intelligent scheduling and decision support system in power system. Through practical cases, the system is shown to improve the efficiency of power grid operation, reduce energy consumption, improve the reliability and security of power supply and so on. At the same time, it also points out the existing problems in data quality, algorithm accuracy, system security and so on, and puts forward the corresponding improvement suggestions and future development direction.
Keyword:Power system Intelligent scheduling Decision support system
目 录
1引言 1
2相关技术与理论基础 1
2.1电力系统概述 1
2.2智能调度与决策支持系统基础 1
2.3控制系统理论 2
3智能调度与决策支持系统的设计与实现 3
3.1系统设计原则 3
3.2系统架构与模块划分 3
3.3系统软件设计与编程 4
3.4设计的科学性与实用性分析 4
4智能调度与决策支持系统在电力系统中的应用 5
4.1应用背景与需求 5
4.2应用策略与实施 5
4.3应用效果评估与优化 6
4.4应用的有效性与安全性分析 7
5结论 7
参考文献 9
致谢 10
