Electric Power Systems - simulation, operational behaviour, control and protection

研究的主要目标是开发实时数字控制和保护方案，以提高电力系统的稳定性。它包括与电机行为有关的问题的研究，控制和保护方案的分析，设计和开发，可再生能源发电，以及经济维护的电力系统设备老化评估。***电力系统的特性是非线性的，并且会因网络配置的变化、设备老化等而发生变化。固定参数控制器是针对一种工况设计的，不能跟踪系统参数的变化。随着时间的推移，它们不能提供最佳性能，系统性能会下降。为了正常工作，控制器应该返回。它要求工厂停产，而且由于生产力的损失，成本很高。一种解决方案是采用自适应控制算法，连续监测系统的动态行为，并根据当前系统的运行条件实时调整控制器参数。自适应自整定控制器是一种能够根据实际运行情况自动调整控制器参数的控制器，特别适用于发电机组。利用人工智能技术设计鲁棒、有效和通用的自适应自调谐控制器，用于传统和可再生能源发电正在研究中。研究人员正在探索将这些控制算法扩展到电力电子设备，以提高互联电力系统的稳定性。***电力行业的一个大问题是资产老化和缺乏评估电力变压器生命周期的技术。基于智能技术的算法，利用新兴的智能电网技术挖掘和评估可用的数据池，公用事业公司可以利用这些技术开始有效的基于状态的维护行动，防止意外故障，从而为公用事业公司提供巨大的节省。***对环境恶化的担忧已促使人们转向使用可再生能源发电。它产生了一个新的方向，包括风力发电场、分布式发电和微电网，这些技术有新的操作、控制和保护问题。在可再生能源发电的各个方面，如风力发电的安全可靠保护与控制、微电网的电压与频率控制、分布式发电的孤岛保护等，都有相当一部分研究。利用早期的自适应和基于人工智能的控制经验，正在研究新的方案，以改善可再生资源发电的运行和整合。**

Primary thrust of the research is the development of real-time digital control and protection schemes for improved stability of electric power systems. It includes the study of problems relating to electric machine behavior, analysis, design and development of control and protection schemes, generation of electric power from renewable sources, and power system equipment aging assessment for economic maintenance.*** Power system characteristics are non-linear and change due to changes in network configuration, equipment aging, etc. The fixed parameter controllers, designed for one operating condition, cannot track changes in system parameters. With time they cannot provide optimal performance and system performance degrades. For proper operation, controllers should be retuned. It requires the plant be taken off-line and is expensive due to loss of productivity. A solution is to employ adaptive control algorithms that continuously monitor the dynamic behavior of the system and adjust controller parameters in real-time according to the prevailing system operating conditions. Adaptive self-tuning controllers, that adjust controller parameters automatically to suit actual operating conditions and particularly suitable for application to electric generating units, have been developed. Use of artificial intelligence techniques to design adaptive self-tuning controllers that are robust, effective and universal is being investigated for application to both conventional and renewable electric power generation. Extension of these control algorithms to power electronics devices to improve the stability of interconnected power systems is being explored.*** A big concern of the power industry is aging assets and lack of techniques to assess the life cycle of power transformers. Algorithms based on intelligent techniques to mine and evaluate the pool of data available with the newly emerging smart grid technologies that the utilities can use to commence effective condition based maintenance actions and prevent unexpected failures are being investigated to provide enormous savings to the utilities. *** Concerns over environmental degradation have started a major move towards electrical power generation using renewable energy sources. It has resulted in a new direction, including wind farms, distributed generation and micro-grids, with new operational, control and protection problems specific to these technologies. A good part of the research is devoted to various aspects of renewable energy generation, such as safe and reliable protection and control of wind based generation, voltage and frequency control of micro-grids and islanding protection of distributed generation. Making use of the earlier experience with adaptive and artificial intelligence based control, new schemes are being investigated to improve the operation and integration of generation from renewable resources. **