Full-state Variables Control of a Grid-connected Pumped Storage Power Plant Using Non-linear Controllers

2015 ◽  
Vol 43 (3) ◽  
pp. 260-270 ◽  
Author(s):  
Mohsen Alizadeh Bidgoli ◽  
Seyed Mohammad Taghi Bathaee
2012 ◽  
Vol 608-609 ◽  
pp. 1120-1126 ◽  
Author(s):  
De Shun Wang ◽  
Bo Yang ◽  
Lian Tao Ji

A static frequency converter start-up control strategy for pumped-storage power unit is presented. And rotor position detecting without position sensor is realized according to voltage and magnetism equations of ideal synchronous motor mathematics model. The mechanism and implementation method of initial rotor position determination and rotor position estimation under low frequency without position sensor are expounded and validated by simulations. Based on the mentioned control strategy, first set of a static frequency converter start-up device in China for large-scale pumped-storage unit is developed, which is applied to start-up control test in the 90 MW generator/motor of Panjiakou Pumped-storage Power Plant. Test results show that rotor position detecting, pulse commutation, natural commutation, and unit synchronous procedure control of static start-up are all proved. The outcomes have been applied in running equipment, which proves the feasibility of mentioned method.


Author(s):  
Marcello Pericoli ◽  
Marco Taboga

Abstract We propose a general method for the Bayesian estimation of a very broad class of non-linear no-arbitrage term-structure models. The main innovation we introduce is a computationally efficient method, based on deep learning techniques, for approximating no-arbitrage model-implied bond yields to any desired degree of accuracy. Once the pricing function is approximated, the posterior distribution of model parameters and unobservable state variables can be estimated by standard Markov Chain Monte Carlo methods. As an illustrative example, we apply the proposed techniques to the estimation of a shadow-rate model with a time-varying lower bound and unspanned macroeconomic factors.


1993 ◽  
Vol 35 (3-4) ◽  
pp. 237-246 ◽  
Author(s):  
Akitaka Hiratsuka ◽  
Takashi Arai ◽  
Tsukasa Yoshimura

Author(s):  
Kazunori Iwabuchi ◽  
Yasuo Takagi ◽  
Tadashi Konnai ◽  
Yuusuke Nakahara ◽  
Kazumasa Kubota ◽  
...  

2018 ◽  
Vol 4 (1) ◽  
pp. 77-86
Author(s):  
Nuno Fonseca ◽  
André Madureira ◽  
João Peças Lopes ◽  
Manuel Matos

This work is within the scope of set of consultancy studies made for Portuguese islands. It focuses on the integration of Pumped Storage Power in isolated islands. The paper starts to address several power systems circumstances about two Portuguese islands on the energetic level. For each of these islands, an independent examination of the conditions to install a reversible hydro power plant is accomplished. Therefore, the energy volume to be stored due to excess of renewable generation and the ideal power and number of the pumps and turbines to be installed were identified and evaluated for the sake of using the produced energy surplus as to be pumped and later generated. The paper enhances the importance of storing energy in the operation of isolated and small systems with considerable amount of intermittent power resources as well as the conditions for the viability of installing new exploitations of this kind.


2007 ◽  
Vol 48 (11) ◽  
pp. 3009-3017 ◽  
Author(s):  
John S. Anagnostopoulos ◽  
Dimitris E. Papantonis

Author(s):  
A. de Sam Lazaro ◽  
W. Steffenhagan

Abstract The automation of the control to a power plant is indeed a challenge mainly because of the occurrences of random and unpredictable variations in output demands as well as because of highly non-linear behavior of the system itself [1]. It is sometimes argued that the ‘best’ control for a power plant is the operators themselves. Experienced operators are capable of taking decisions on the basis of incomplete and imprecise information. The extent to which these decisions are correct is a matter of speculation. Erroneous conclusions, established post facto, are chalked up to the learning process and in fact, contribute to the forming of a good, experienced control team. The need to automate the control process for a plant is even more acutely felt when considering the complexity of the plants themselves and the volume of data that would have to be processed before a control decision can be taken. Factored into this decision would also be several governing parameters such as costs, reliability, other constraints and their interdependancy, as well as planned and unscheduled outages for maintenance and so on. In this paper, however, only one facet of a power plant operation is considered. It is intended to demonstrate that thermal efficiency may be improved by better techniques for automated control of throttle valves in the steam turbine of the plant. One of these options, fuzzy logic, is selected, and defended, as being the more effective than current techniques. A comparative analysis is conducted of control techniques for plant operations followed by a brief overview of fuzzy control and its application to control of non-linear systems. A method of applying this ‘new’ computer-based technique to control of non-linear, somewhat erratic plants is presented and discussed.


2018 ◽  
Vol 108 (S1) ◽  
pp. 37-40
Author(s):  
Kuno Weiss ◽  
Roman Töpler
Keyword(s):  

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