Multi-Agent System Based Intelligent Distributed Control System for Power Plants

基于多Agent系统的火电厂智能分布式控制系统本研究的目的是开发一个大型火电厂智能分布式控制系统。现代大型发电厂固有的传感器/执行器和分布式系统的复杂网络立即表明多智能体系统（MAS）作为一个可行的解决方案。为了运行大型发电厂，发电厂中的每个子系统的监测和控制系统是分布式的和自动化的。该方法是使用MAS，它允许实施更复杂的措施，以弥补传统的控制systems.The智能的优点是，MAS是非常适合于分布式控制的发电厂，因为由此产生的合作和协商的解决方案提供了分布式自治，鲁棒控制和灵活的自动配置的能力不安全和非鲁棒属性。目前的发电厂只使用集中或松散分散的控制方案，需要操作员的持续干预，而MAS可以自己管理发电厂的运行。本研究的更广泛的影响包括创建一个强大的统一工具，用于监测和控制发电厂;一个运行环境，是安全的，燃料效率，并提供实用和现实的基础设施;和应用在广泛的工程问题，包括核电站，燃料电池厂，电网。由于目前超过32.4%的发电量仅来自煤炭，因此尽可能高效和清洁地燃烧这些燃料非常重要。MAS为操作人员描绘了一幅连贯的画面，并将作为能源系统工作人员的培训工具。 MAS-IDCS设施将用于开发电力系统控制和计算智能课程，并将在招收多样化的学生群体方面具有吸引力。

Multi-Agent System Based Intelligent Distributed Control System for Power PlantsThe objective of this research is development of an Intelligent Distributed Control System (IDCS) for a large-scale power plant. The complex network of sensor/actuators and distributed systems inherent in modern large-scale power plants immediately suggests a Multi-Agent System (MAS) as a viable solution. To operate a large-scale power plant, the monitoring and control systems are distributed and automated for each subsystem in the power plant. The approach is to use MAS, which allows implementation of significantly more sophisticated measures to compensate for the unsecure and nonrobust properties plaguing traditional control systems.The intellectual merit of this research is that MAS is well suited for distributed control of power plants since the resulting cooperative and negotiated solutions provide the ability for distributed autonomy, robust control, and flexible auto configuration. Current power plants use only centralized or loosely decentralized control schemes and require continuous intervention by the operator, while MAS can manage the power plant operation by itself.The broader impact of this research includes creation of a powerful unified tool for monitoring and control of power plants; an operational environment that is secure, fuel efficient, and provides practical and realistic infrastructure; and application in a broad range of engineering problems including nuclear plants, fuel cell plants, and power grids. With over 32.4% of current generation coming from coal alone, it is important to burn these fuels as efficiently and cleanly as possible. MAS paints a coherent picture for operators and will be useful as a training tool for workforces in energy systems. The MAS-IDCS facility will be utilized in developing courses in Power Systems Control and Computational Intelligence, and will be attractive in recruiting diversified groups of students.