Advanced applications of energy storage system comprise load shifting, isolated island operation, frequency regulation and reactive support, etc. There are already algorithms and control strategies for advanced applic...
Advanced applications of energy storage system comprise load shifting, isolated island operation, frequency regulation and reactive support, etc. There are already algorithms and control strategies for advanced applications, but still lack an independent supporting software platform. This paper concentrates on the structure and realization of software platform for advanced application of large-scale energy storage system, including demand analysis, software architecture and module design, user interface and functionality development. An easy to operate and expand software platform, with a beautiful graphical user interface and support for visualization of data, was designed and implemented.
The connection of ultra-high voltage (UHV) transmission line has brought a challenge to the voltage operation and control of its neighboring powersystem. Facing engineering practice, this paper proposes an automatic ...
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The drainage pipe network plays a very important role that take on the collection and transportation of wastewater in sewer system. The well status of drainage pipe network is necessary to guarantee for the better ope...
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This paper is concerned with the identification of nonlinear processes which are parameterized as linear parameter varying (LPV) models. The LPV models are represented as blended linear models by using ADAptive LINear...
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This paper is concerned with the identification of nonlinear processes which are parameterized as linear parameter varying (LPV) models. The LPV models are represented as blended linear models by using ADAptive LINear Element (ADALINE) structure. Firstly, ADALINE is employed to represent local models describing the system's behaviour at each fixed working point. Then, a novel method is proposed to estimate parameters of weight functions such that the global LPV model can be built by interpolating the local ones. The adaptation algorithm is discussed and extensive simulation studies are conducted to verify the effectiveness of this method.
China will soon be under the pressure of controlling the emissions of CO2 and various air pollutants simultaneously. power sector as the largest contributor is the key sector to fulfill this task, which makes a power ...
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China will soon be under the pressure of controlling the emissions of CO2 and various air pollutants simultaneously. power sector as the largest contributor is the key sector to fulfill this task, which makes a power sector model with consideration of multiple air emissions control in great need for supporting policy making. This study built a multi- period optimization model for China s power sector with considerations of SO2, NOX and CO2 emission control and accounting of Hg emissions, based on six regional power grids with growing inter-connections. A case study of technology development and emission trends in China s power sector between 2010 and 2030 follows, using regional technology and fuel data in 2010, and advices for further model development come last.
This paper investigates the full-state feedback lineaxization and backstepping control design problems for a class of nonlinear Markovian jump *** to the proposed relative degree set definition,the system can be trans...
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ISBN:
(纸本)9781479900305
This paper investigates the full-state feedback lineaxization and backstepping control design problems for a class of nonlinear Markovian jump *** to the proposed relative degree set definition,the system can be transformed into the canonical form through the appropriate coordinate changes following with the Markovian switchings,i.e.,the system can be full-state feedback linearized in every jnmp mode with respect to the relative degree set {n,...,n}.Then,a stabilizing control is designed through applying the backstepping technique,which guarantees the asymptotically stability of nonlinear Markovian jump systems.
Estimating low-frequency oscillation modes and the corresponding mode shapes based on ambient data from WAMS measurements has a promising prospect in powersystem analysis and *** on the stochastic subspace method,thi...
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Estimating low-frequency oscillation modes and the corresponding mode shapes based on ambient data from WAMS measurements has a promising prospect in powersystem analysis and *** on the stochastic subspace method,this paper proposes a revised stochastic subspace method by introducing reference channels,which can estimate the modes and the mode shapes simultaneously with great computational ***,the accuracy of the estimated results is not *** discriminate the real modes from the spurious ones,the stabilization diagram is introduced.A novel algorithm is designed to deal with the stabilization diagram which can detect the real modes *** conducted on the IEEE-118 system indicate that the proposed method has good performance in terms of both computational efficiency and accuracy,and has the potential of being used on-line.
For the monotony of the traditional risk evaluation method of electric power communication network, a comprehensive method for evaluating risk of electric power communication network is provided. Starting from the ana...
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ISBN:
(纸本)9781467347129
For the monotony of the traditional risk evaluation method of electric power communication network, a comprehensive method for evaluating risk of electric power communication network is provided. Starting from the analysis of the operational services, risk status of each link in the network is obtained. Then the link weights are calculated by means of analyzing the importance of link to network from the perspective of topology. Lastly, two risk evaluation indicators which are network risk and degree of risk balancing of network can be calculated by combining link risk and link weight. The comprehensive method for evaluating risk of electric power communication network is more comprehensive and ocular in the analysis of operational risks and risk distribution, and has practical significance and extensive application prospects in risk management.
This paper proposes a robust on-line identification method for the synchronous generator's quadrature-axis synchronous reactance Xq with steady-state PMU (Phasor Measurement Unit) data. Firstly, the mathematical f...
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This paper proposes a robust on-line identification method for the synchronous generator's quadrature-axis synchronous reactance Xq with steady-state PMU (Phasor Measurement Unit) data. Firstly, the mathematical formulation for identification of Xq, which is a least square estimation with the objective of terminal voltage fiting is introduced. And then, the robust Huber estimation, which can eliminate the effects of gross errors among measured data, is presented. Furthermore, the Huber estimation is applied to identification for Xq by modifying its objective function. simulation results with PSASP data verify the high accuracy and robustness of the proposed method in different situations. Moreover, simulation results with the field data of a 667-MVA generator show the effectiveness of the proposed approaches.
The analysis and simulation of powersystem are becoming more and more challenging as the complexity of system topology and components has been increased. In this paper, a hybrid parallel algorithm is proposed for the...
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The analysis and simulation of powersystem are becoming more and more challenging as the complexity of system topology and components has been increased. In this paper, a hybrid parallel algorithm is proposed for the real-time electromagnetic transient simulation (EMTS) of integrated powersystems containing multiphase machines. The proposed algorithm is com- posed of a novel network partition method called component level parallelization and the Multi-Area Thevenin Equivalent (MATE) method, which extends the flexibility of the network partition in parallel simulation. Moreover, several methods are developed to enhance the efficiency of the communication and computation. powersystems with up to 410 single-phase elec- trical nodes and 336 switches are simulated in a time step of 50 ~ts to validate the proposed algorithm.
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