电力系统Transputer自适应稳定控制

本文提出了一种基于多个快速平行处理器--Transputer而实现的电力系统自适应稳定控制器.文中介绍了这种自适应稳定器实现的硬件、软件系统及实验室动态模拟试验结果.     

分布式网络计算在电力系统暂态稳定控制中的应用

基于“在线预算、实时匹配”和“集中管理、区域控制”的思想,该文提出一个应用于电力系统暂态稳定控制的分布式网络计算框架,采用按区域分配预想故障集的负载分配策略,可以获得较大的并行加速比。文中还给出了用Socket进行分布式网络计算的方案。     

常用控制电力系统电压稳定的主要措施和方法

文中主要对电力系统电压稳定性进行深入研究,分析了电力系统电压稳定问题的概念和控制措施,以及电力系统电压稳定的研究方法。     

电力系统静态稳定分析的新方法

利用灾变理论推出一种用于分析电力系统静态稳定的灾变流形及相应的分析算法。经电力系统算例和常规数值积分方法验证，所提出的算法无论在计算速度及准确度方面都是令人满意的。     

基于神经网络的电力系统暂态稳定分布式自适应控制

针对电力系统中普遍存在的系统非线性和参数不确定性等问题,提出一种基于径向基函数神经网络(RBFNN)的分布式自适应控制器,以提高多机电力系统的暂态稳定性.利用基于RBFNN的方法对系统中的未知非线性项和外部扰动进行补偿,设计相应的自适应参数估计方法,逼近未知非线性项的理想权值矩阵.该策略基于多智能体框架,分布式控制器通...     

计及故障持续时间的电力系统暂态稳定分布式控制

针对电力系统故障持续时间会影响暂态稳定控制的问题, 本文提出了一种使系统在固定时间内恢复暂态稳定运行的策略. 该策略通过电力系统通信拓扑建模方法为每个发电机建立“邻居发电机”, 利用发电机本地信息和其邻居发电机的信息设计分布式控制器, 通过控制储能装置作用于受扰动后的系统, 使其在固定时间内恢复稳定运行. 其次, 此控制策略还解决了一些实际挑战, 如控制器的输入延时、外部的干扰、储能装置的容量限制等. 通过构建李雅普诺夫函数并利用图论知识对该策略展开了稳定性分析, 推导出了稳定系统的时间界限. 最后, 将控制器投入新英格兰39节点测试系统中, 并与其它控制器进行比较, 仿真结果验证了在低容量储能装置限制下和抗干扰性上控制器性能的优势.     

Large scale control problems in electric power systems

The main large-scale control problems in electric power system operation, from optimal allocation of generation and transmission resources to network state estimation, frequency and exchange power control, system stability and dynamic security, are illustrated and the methods presently used to solve them are recalled. Special attention is given to significant applications of decomposition by physical decoupling and relaxation or by time-division of decentralized controls, of coordination and hierarchies, with a brief mention of large system analysis areas open to further development.     

Global control with application to bifurcating power systems

A multilevel nonlinear control scheme that is capable of system control over wide ranges of operating conditions is proposed. The first control level confines the system operation to some reference segments in its state space. Each reference segment is further subdivided using the bifurcation analysis for establishing the bounds of the state space of the system with different control requirements. The principles of global control lead to a hierarchical control structure which combines regional (linear or nonlinear) controllers smoothly. The scheme is illustrated for control of a power system known to have diverse dynamical behavior. The control will accomplish desired steady-state (fixed point or small oscillation) operation of the power system for a wide range of loading levels.     

Networked control of battery‐powered systems with communication scheduling and power allocation

This paper investigates networked control of a collection of battery‐powered systems with seriously limited communication capacity and power resources. We aim to stabilize the systems by effectively assigning the communication channels and appropriately allocating the transmission powers so that the energy consumption is within an energy budget. The role of channel assignment is to guarantee network access for all plants when needed; the mission of power allocation is to ensure a desired rate of successful packet transmission for each channel. These two aspects are achieved by a scheduling policy and a power allocation method, respectively, each of which is derived based on stability and schedulability requirements. An interesting co‐design framework is derived for communication scheduling, transmission power allocation and stabilizing control. The presented methodology can guarantee a desired decay rate and a given energy consumption for each plant. The effectiveness of the results is demonstrated by numerical simulations. Copyright © 2017 John Wiley & Sons, Ltd.     

Nonlinear adaptive decentralized stabilization control for multimachine power systems

This paper presents a decentralized adaptive backstepping controller to dampen oscillations and improve the transient stability to parametric uncertainties in multimachine power systems. The proposed design on the i ^th synchronous generator uses only local information and operates without the need for remote signals from the other generators. The design of the nonlinear controller is based on a modified fourth-order nonlinear model of a synchronous generator, and the automatic voltage regulator model is considered so as to decrease the steady state voltage error. The construction of both the control law and the associated Lyapunov function is systematically designed within the design methodology. A 3-machine power system is used to demonstrate the effectiveness of the proposed controller over two other controllers, namely a conventional damping controller (power system stabilizer) and one designed using the feedback linearization techniques. Recommended by Editorial Board member Gang Tao under the direction of Editor Jae Weon Choi. This work was supported by the Korea Electrical Engineering and Science Research Institute, which is funded by Ministry of Commerce, Industry and Energy. Shan-Ying Li received the B.S. degrees in Computer Science and M.S. degree in Electrical Engineering from Northeast DianLi University, China, in 1997 and 2002, respectively. She obtained the Ph.D. degree in Electrical Engineering from Seoul National University, Korea, in 2008. She is a Post Doctor in North China Electric Power Research Institute, North China Grid Co., Ltd., China. Her research interests are in the areas of advanced control and stability applications on power systems. Sang-Seung Lee received the M.S.E.E. and Ph.D. degrees in Electrical Engineering at Seoul National University. Currently, he is with Power System Research Division of KESRI, Seoul National University, Korea. His interest areas are nonlinear/adaptive control theory, North-East Asia power system interconnection, distributed/small generation, distributed transmission/distribution load flow algorithm, regional/local energy system, PSS (power system stabilizer), and RCM (Reliability Centered Maintenance). Yong Tae Yoon was born in Korea on April 20, 1971. He received the B.S. degree, M.Eng. and Ph.D. degrees from M.I.T., USA in 1995, 1997, and 2001, respectively. Currently, he is an Assistant Professor in the School of Electrical Engineering and Computer Science at Seoul National University, Korea. His special field of interest includes electric power network economics, power system reliability, and the incentive regulation of independent transmission companies. Jong-Keun Park received the B.S. degree in Electrical Engineering from Seoul National University, Seoul, Korea in 1973 and the M.S. and Ph.D. degrees in Electrical Engineering from The University of Tokyo, Japan in 1979 and 1982, respectively. He is currently a Professor of School of Electrical Engineering, Seoul National University. In 1992, he attended as a Visiting Professor at Technology and Policy Program and Laboratory for Electromagnetic and Electronic Systems, Massachusetts Institute of Technology. He is a Senior Member of the IEEE, a Fellow of the IEE, and a Member of Japan Institute of Electrical Engineers (JIEE).     

Recollections of the evolution of realtime control applications to power systems

Paralleling the extensive growth and expansion of interconnected electric power systems in the United States and Canada during the past 60 years, has been the related need to regulate generation in the constituent areas, and the power flow between them, to achieve equitable, reliable and economic system and area operation. Many individuals and groups have made contributions to these objectives. These contributions constitute the evolution of the system and area realtime control art from modest, tentative beginnings to the comprehensive, broadly scoped and highly capable present day on-line digital control systems. This paper presents one individual's view, based largely on personal experience and observation, of significant steps in this evolutionary process. The paper deals primarily with the analog phases of these developments, many of the philosophies and techniques of which remain basic to current digital executions.     

混沌系统时滞反馈控制综述

综述了混沌系统时滞反馈控制的研究成果,包括基本思想、控制器设计、稳定性分析及其各种改进方法等．最后展望了其未来发展方向。     

Stability analysis and stabilization control of multi-variable switched stochastic systems

In this paper, the mean square (MS) stability and exponential mean square (EMS) stability of multi-variable switched stochastic systems are investigated. Based on the concept of the average dwell-time and the ratio of the total time running on all unstable subsystems to the total time running on all stable subsystems, some sufficient conditions are given to ensure the MS stability and EMS stability of the switched stochastic systems involved. Further, for the switched stochastic control systems with all subsystems controllable or stabilizable, EMS stabilization controls and sufficient conditions on EMS stabilization are presented, and the convergent rates of the closed-loop systems are obtained.     

Stability of model-based event-triggered control systems: a separation property

To save resource of communication, this paper investigates the model-based event-triggered control systems. Two main problems are considered in this paper. One is, for given plant and model, to design event conditions to guarantee the stability of the systems. The other is to consider the effect of the model matrices on the stability. The results show that the closed-loop systems can be asymptotically stabilised with any model matrices in compact sets if the parameters in the event conditions are within the designed ranges. Then, a separation property of model-based event-triggered control is proposed. Namely, the design of the controller gain and the event condition can be separated from the selection of the model matrices. Based on this property, an adaption mechanism is introduced to the model-based event-triggered control systems, which can further improve the sampling performance. Finally, a numerical example is given to show the efficiency and feasibility of the developed results.     

Efficient management of interconnected power systems: A game-theoretic approach

The optimal management over a one year planning horizon, of two interconnected hydro-thermal power systems is considered. The optimal production in each system is modelled as a stochastic control problem whose solution is searched in a particular class of control strategies. The efficient exchange of energy between the two systems and its pricing are viewed as a cooperative game and the Nash-Harsanyi bargaining solution is characterized. Various information structures for the exchange and price strategies are discussed and it is shown that, in all cases, the price strategy is equivalent to the definition of a compensatory side payment which equalizes the advantages accruing to each of the two players with respect to a status quo situation where no interconnection is available. A numerical illustration based on a typical European power system is presented to assess the potential gain when using a closed loop exchange strategy instead of an open loop one.     

Online control of discrete-event systems: A survey

In control theory, as in other areas of engineering research, there is an inherent tension between the breadth of a technique’s applicability and its mathematical tractability. For the area of discrete-event systems (DES), this manifested itself in a theory of supervisory control that originally provided correct-by-construction guarantees for offline solutions to a restricted kind of deterministic process. Follow-on work extended the reach of these techniques to a number of new settings, notably the development of online control without sacrificing any of the original DES performance guarantees. The ability to enact online control opened the door to applying DES techniques to the adaptive control processes presented by modern technologies: processes with dynamic and time-varying natures, whose characteristics may be understood poorly or not at all. Although many works have built on the seminal work of online control in DES, we believe that these ideas have not reached their full potential due to the difficulty in translating them to adjacent fields. In this survey, we look back at 30 years of research concerning the online control of DES and closely related limited lookahead policies with an eye to making the works accessible to practitioners in the broader control theory and artificial intelligence communities. We conclude with some thoughts on future research directions for the further development and application of online DES control techniques to problems requiring intelligent control in our modern world.