Intelligent Control and Dynamic Simulation of Carbonate Fuel Cell Power Plant as Distributed Generation Systems

这个小型企业创新研究第一阶段项目提出开发一个动态模拟模型，应用于燃料电池，最有前途的分布式发电技术之一。为了促进对公用电网的高渗透，燃料电池发电厂需要完全自动化，具有远程监控，能够负载跟踪，并且可用性超过95%。动态仿真方法用于电厂控制的显著特点是使设计人员能够在电厂建设之前测试电厂对负荷变化、系统扰动和其他运行模式的瞬态响应。动态仿真的另一个独特之处包括：在实施先进的控制策略和利用最先进的算法，如鲁棒性，模糊逻辑和神经网络在燃料电池发电厂增加的灵活性。它还将包括开发此类工厂的电力管理和监督控制，从而实现高度自动化的发电系统。使用先进的控制系统可以提高操作灵活性，延长电厂的寿命，并确保电厂在负荷快速变化时的可靠性，而不会对电厂的关键部件造成压力。动态模拟和智能控制将最终带来与操作员培训、效率、可用性和燃料电池发电厂可靠性相关的成本削减效益。

This Small Business Innovative Research Phase I project proposes to develop a dynamic simulation model as applied to fuel cells, one of the most promising technologies for distributed generation. To facilitate high penetration into utility grids, fuel cell power plants are desired to be fully automated with remote monitoring, capable of load-following, and availabilities of more than 95%. The distinctive feature of dynamic simulation approach to control of power plants is to enable the designers to test power plant's transient response to load variations, system upsets, and other modes of operation prior to plant construction. Another unique feature of dynamic simulation includes: increased flexibility in implementing advanced control strategies and utilizing state-of-the-art algorithms such as robust, fuzzy logic and neural network in fuel cell power plants. It will also include development of power management and supervisory control of such plants, leading to a highly automated generation system. Use of advanced control systems make it possible to improve the operating flexibility and enhance the life of a power plant and will ensure the plant's reliability during rapid load changes without stressing the key components of the plant. The dynamic simulation and intelligent control will ultimately lead to cost-cutting benefits associated with operator training, efficiency, availability and reliability of the fuel cell power plants.