The paper shows the power delivery constraints of power plans in juxtaposition to the requirements of power system operation and control. The impacts of different system states on the power plant are worked out. from ...
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The paper shows the power delivery constraints of power plans in juxtaposition to the requirements of power system operation and control. The impacts of different system states on the power plant are worked out. from this base, possible improvements in system/power plant cooperation are shown, which become feasible by increased data exchange and improved power plant outfit, especially in non-normal system states.
A time-domain simulation program is developed for the National control Center to study the consequences of the automatic decoupling of the Interconnected powersystemsfrom the point of view of power deficiency. Aspec...
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A time-domain simulation program is developed for the National control Center to study the consequences of the automatic decoupling of the Interconnected powersystemsfrom the point of view of power deficiency. Aspects of large-scale nonlinearised system model formulation are discussed. Equivalencing and modelling of power plants, loads and network are given. System dynamics are described with state-space method. Computation in the frame of reference rotating with average system frequency is applied. Some simulation results referring to the Hungarian power System are presented.
Transient stability analysis of large-scale powersystems using direct methods can yield unreliable results. This problem is examined in this paper and a new reliable algorithm is proposed to solve it. The new algorit...
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Transient stability analysis of large-scale powersystems using direct methods can yield unreliable results. This problem is examined in this paper and a new reliable algorithm is proposed to solve it. The new algorithm calls for decoupling the system dynamics and then studying independent stability problems in the different subspaces.
This paper presents an adaptive power system stabilizer utilizing the eigenvalue control strategy. The control algorithm is based on the identification of decoupled subsystem model parameters in real-time from local m...
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This paper presents an adaptive power system stabilizer utilizing the eigenvalue control strategy. The control algorithm is based on the identification of decoupled subsystem model parameters in real-time from local measurements only. The concept of decentralized stabilization of power system electromechanical oscillatory modes is discussed and control procedure for local electromechanical eigenvalue assignment is developed. The robustness and efficiency of the proposed adaptive controller to enhance overall system stability are illustrated on several examples, including the three-machine, 45 order power system model.
The multimachine power system stabilizer presented in this paper is based on the theory of optimal, decentralized output feedback control theory. System performance indices are used as a guidance to select the most va...
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The multimachine power system stabilizer presented in this paper is based on the theory of optimal, decentralized output feedback control theory. System performance indices are used as a guidance to select the most valid feedback variables and the most effective machine for stabilization. Digital simulations and laboratory tests are made on a three machine power system, which show that the decentralized excitation controllers may contribute much to suppressing system oscillations and enhancing power transmission ability of lines.
Security and optimization are becoming the main issues of power system control which is oriented according to states. The state concept is used here to characterize the state-of-the-art but also to discuss the frontie...
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Security and optimization are becoming the main issues of power system control which is oriented according to states. The state concept is used here to characterize the state-of-the-art but also to discuss the frontiers and the expected development. Optimization will expand into more detailed applications of security. This will also include optimal switching operations. The activities of energy management systems will also be extended to the control of dynamic states and emergencies. New tools like high performance computers, full graphics and expert systems will support the development.
Optimal power Flow (OPF) functions are required for modern control centres. There are different tasks such as cost-minimal active power scheduling under network constraints or voltage-/var-scheduling for determining a...
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Optimal power Flow (OPF) functions are required for modern control centres. There are different tasks such as cost-minimal active power scheduling under network constraints or voltage-/var-scheduling for determining an optimal voltage profiles. Practical requirements on the OPF functions are easy operator handling, reliable operation and fast providing of clear solutions to main problems. With respect to this, aspects of modellingpower system components, that are important for OPF functions, user requirements as well as solution methods are discussed. Embedding of OPF modules in the EMS software environment and man-machine-interface functions are outlined. Finally, an example of a realized OPF application in a control centre is given.
Two specific aspects concerning hierarchical dynamic state estimation of electric powersystems are considered. The first deals with the exploration of the suboptimality properties of the hierarchical scheme. The seco...
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Two specific aspects concerning hierarchical dynamic state estimation of electric powersystems are considered. The first deals with the exploration of the suboptimality properties of the hierarchical scheme. The second concerns algorithmic improvements by taking into account the Pθ/QV decoupling property of high voltage electric powersystems so as to reduce the computational burden of the Kalman filter. A simple realistic example confirms the theoretical developments and illustrates the effectiveness of the decoupled estimator.
The paper presents a state space method for the design of power system stabilisers (PSSs) in multimachine powersystems. The design is based on the suboptimal output regulator problem solved by use of projective contr...
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The paper presents a state space method for the design of power system stabilisers (PSSs) in multimachine powersystems. The design is based on the suboptimal output regulator problem solved by use of projective controls. A sequential design procedure is proposed, which provides an organized way of choosing the stabilisers structure and tuning its parameters. A numerical example of a multimachine power system is presented to illustrate the proposed design method.
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