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1 
Development of power system monitoring by magnetic field sensing with spintronic sensorsSun, Xu, 孫旭 January 2013 (has links)
This dissertation presents novel application of spintronic sensors in power system monitoring. Spintronic sensors including giant magnetoresistance (GMR) sensors and tunnel magnetoresistance (TMR) sensors are advanced in magnetic field sensing. In power industry, powerfrequency magnetic fields are produced by electric power sources, equipment and power lines. Thus it is impossible for monitoring the power system by sensing the emanated magnetic field. In Chapter 2, a novel concept based on magnetoresistive (MR) sensors is proposed for transmission line monitoring. A proofofconcept laboratory setup was constructed and a series of experiments were carried out for demonstration. The result shows the feasibility of using this power system monitoring method in reality.
In order to handle complicated transmission line configuration with the proposed method, an improved current monitoring technology is proposed in Chapter 3. It is realized by developing a current source reconstruction method based on stochastic optimization strategy. This concept of current monitoring by magnetic field sensing and current source reconstruction was experimentally implemented and verified in our laboratory setup. A typical model of 500 kV threephase transmission lines was simulated to further corroborate this technology. The reconstruction results for the 500 kV transmission lines verify the feasibility and practicality of this novel current monitoring technology based on magnetic field sensing at the top of a transmission tower for monitoring overhead transmission lines.
Chapter 4 offers further improvement of the transmissionline monitoring technology. Improved technology can measure simultaneously both electrical and spatial parameters of multiple lines in realtime in a noncontact way. Two typical models of highvoltage threephase transmission lines were simulated and the resulting magnetic fields were calculated. A source reconstruction method was developed to reconstruct the spatial and electrical parameters from the magnetic field emanated by the overhead transmission lines. The reconstruction results for the 500 kV and 220 kV transmission lines verify the feasibility and practicality of this noncontact transmissionline monitoring technology based on magnetic field sensing.
As well as the highvoltage transmissionline, the technology is applied in underground power cable operationstate monitoring and energizationstatus identification in Chapter 5. The magnetic field distribution of the cable was studied by using finite element method (FEM) for the power cable operating in different states, i.e. currentenergized state (the cable is energized and carries load current) and voltageenergized state (the cable is energized but carries no load current). Application of this method was demonstrated on an 11 kV cable with metallic outer sheath. The results highly matched with the actual source parameters of the cable. An experimental setup was constructed and the test results were used for demonstration this method.
In order to enhance the applicability of the proposed power system monitoring technology in practice, magnetic flux concentrators (MFC) and magnetic shielding are studied and designed for MR sensors in Chapter 6. / published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy

2 
Analysis and control of power systems using orthogonal expansionsFernandes, Stephen Ronald 02 July 1992 (has links)
In recent years, considerable attention has been focused on the application of
orthogonal expansions to system analysis, parameter identification, model reduction
and control system design. However, little research has been done in applying their
useful properties to Power System analysis and control. This research attempts to
make some inroads in applying the so called " orthogonal expansion approach " to
analysis and control of Power systems, especially the latter.
A set of orthogonal functions commonly called Walsh functions in system
science after it's discoverer J.L. Walsh [1923] have been successfully used for
parameter identification in the presence of severe nonlinearities. The classical optimal
control problem is applied to a synchronous machine infinite bus system via the
orthogonal expansion approach and a convenient method outlined for designing PID
controllers which can achieve prespecified closed loop response characteristics. The
latter is then applied for designing a dynamic series capacitor controller for a single
machine infinite bus system. / Graduation date: 1993

3 
Optimization of power system performance using facts devicesdel Valle, Yamille E. January 2009 (has links)
Thesis (Ph.D)Electrical and Computer Engineering, Georgia Institute of Technology, 2010. / Committee Chair: Dr. Ronald G. Harley; Committee Member: Dr. Bonnie Heck; Committee Member: Dr. Deepak Divan; Committee Member: Dr. Ganesh K. Venayagamoorthy; Committee Member: Dr. Miroslav Begovic. Part of the SMARTech Electronic Thesis and Dissertation Collection.

4 
Development of a dynamic multivariate power system inertia modelSibeko, Bonginkosi Johannes January 2018 (has links)
A research project submitted to the Faculty of Engineering and the Built
Environment, University of the Witwatersrand, in fulfillment of the requirements
for the degree of Master of Science in Engineering, 2018. / The power system inertia immediately following small and large system
disturbances was investigated. By understanding factors affecting the system
inertia and primary frequency response behaviour, an online inertia model was
developed. Historical data was extracted from the Eskom Energy Management
System (EMS) and Wide Area Monitoring System (WAMS). The developed
model using Multivariate Analysis (MVA) includes measured and estimated data
from Eskom generators, Renewable Energy Sources (RESs) and the
interconnected Southern African Power Pool (SAPP). Inertia plus Fast Primary
(Frequency) Response (FPR) (as determined by the load behaviour) and system
inertia models were developed from June 2015December 2016 and validated
with past frequency disturbance events (June 2014March 2017). From the
comparison between the measured and model results for 355 actual disturbances,
225 disturbances resulted in errors within ±5% and 51 events resulted in errors
between ±5% and ±10%. Eight disturbances caused errors greater than ±10%,
which were largely from trips at particular large power stations and HVDC.
During a large disturbance, the multivariate coefficients for Renewable Energy
Sources, HVDC and interconnectors were very small for the pure inertia model
(excluding the load frequency behaviour and the generator damping). In contrast,
the spinning reserve provides significant contribution and is location based. The
location of a disturbance affects the FPR behaviour and the system inertia but not
the Rate of Change of Frequency (RoCoF) with reference to the central power
station. The strong and weak areas with respect of the stiffness of the system
(extent of frequency nadir for particular disturbances) were identified. This can
contribute to future grid planning and realtime operations in managing the system
inertia and primary frequency response. The model is expected to improve with
time, as the accuracy of a statistical approach requires large amounts of data. The
model can be used to determine and monitor the maximum level of RES in real
time. / XL2019

5 
SOME NEW TECHNIQUES FOR THE LOAD FREQUENCY CONTROL OF MULTIAREA POWER SYSTEMS.ABDULLA, ABDULLA I. M. January 1986 (has links)
In this dissertation, the problem of multiarea load frequency control in large power systems is investigated. The load frequency control problem is concerned with the minimization of the deviations in the frequencies of the different areas and in the tie line power exchange between these areas, and is a problem of major importance in the satisfactory operation of large power systems. Some new techniques for designing load frequency control systems are presented through the use of concepts from singular perturbation and hierarchical system theory. To provide appropriate vehicles for the design of the new control systems, state variable models for power systems are developed. These models progress from a twoarea interconnected power system model to large scale models comprising of N areas. Two centralized state feedback schemes are proposed for the load frequency control by utilizing the separation of the system models into two time scales. In the first scheme, composite controls and reduced order controls are developed to meet the required performance specifications by. The second scheme is obtained by using the theory of variable structure systems where the existence of a sliding regime leads to the design of a single discontinuous state feedback controller that meets the performance requirements. In order to further improve the performance of the closed loop system, a two level hierarchical control scheme is developed. This consists of a set of local controllers that are designed using either the singular perturbation approach or the variable structure system approach as before and a set of global control functions provided by a higher level controller that attempts to coordinate the local controllers. The interaction prediction principle is used as a tool in the design of the global controller. The performance of the presently developed control schemes is examined in detail for the illustrative cases of a twoarea and a threearea power system. From this analysis, it is shown that these controllers provide an improved performance compared to the existing control schemes in reducing the frequency and tie line power deviations.

6 
EskomZESA interconnected power system modellingGumede, Nkosinomusa S January 2016 (has links)
A research report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Master of Science in Engineering, 2016 / The power system frequency must be kept as close as possible to the nominal
value. This is due to the inherent design of electrical equipment to operate
efficiently at the nominal frequency. Frequency regulation in an interconnected
power system is the duty of all members of the interconnection. However, in the
EskomZESA interconnected power system Eskom engineers ignore the
contribution of the ZESA system to primary frequency control. This is mainly
due to the prevalent assumption that the ZESA control area is small relative to
the Eskom control area and its contribution to primary frequency control of the
interconnected power system is negligible. This document presents a project
that examines the validity of this assumption via determination of the
contribution of the ZESA system to the interconnected power system’s primary
frequency control.
The interconnected power systems background was studied to understand the
theory behind the operation of two or more interconnected power systems.
System frequency disturbances deemed to be a good representation of the
EskomZESA interconnected power system’s performance were selected and
analysed to validate the current assumption. The results show that there is a
significant support from ZESA during a system frequency disturbance. This
proves that the existing assumption is not valid anymore.
Furthermore; the generator model that mimics the EskomZESA tieline
governing behaviour was developed. Two different types of governor models
were employed; firstly the IEEEG1 governor was tuned to control generator
output to match the tieline performance and then the TGOV5 governor model
was used. The IEEEG1 governor model is a simplified governor representation;
as a result, it is not easy to tune the parameters to match tieline response.
However, the performance is acceptable and it can be used to represent the tieline
governor response. The TGOV5 governor model is very complex as
discussed in section 4.2. The model includes boiler dynamics, and this
improves performance such that it is possible to tune the parameters to follow
the tieline performance as close as necessary. / GR2016

7 
Distributed wireless utility maximization via fast power control. / 基于分布式快速功率控制的无线网络效用最大化 / CUHK electronic theses & dissertations collection / Ji yu fen bu shi kuai su gong lu kong zhi de wu xian wang luo xiao yong zui da huaJanuary 2013 (has links)
本论文开发出了一个全新的理论和算法框架用於无线网络的分布式功率控制。我们提出两种快速分布式功率控制算法，并对此作了深入的研究。 此种算法相当普适，比如适用于目前热门的LTE和认知无线电网络。 它在解的最优性以及收敛速度等方面击败了著名的高通公司的"荷载溢出型分布式功率控制算法" (收录于重要论文[HandeRanganChiangWu08] )以及"分布式加权比例型信干噪比均衡算法" (收录于重要论文[TanChiangSrikant 11)。 / 作为一个重要而富有挑战性的研究课题，通过分布式功率控制达至无线网络效用的最大化一直受到业界的普遍关注。 这方面的研究通常把问题表述为一个最优化问题，即在某些功率约束条件下，优化整体系统的效用函数。 (其中，系统的效用函数通常是各无线收发链路的信干噪比的增函数。 )此问题已经有了不错的集中式解决方案，但成本更低廉、更易于布置、更为实用的分布式解决方案则欠奉，尤其是经严格证明可行的分布式解决方案。 这是因为分布式算法一般只适用于相对简单或者有特殊结构的优化问题。 而无线设备之间的相互干扰和各自信号功率之间的复杂关系使得分布式求解极其困难。 在算法设计上，很小的疏漏就可能导致解决方案无效或者不收敛。 例如，尽管论文[HandeRanganChiangWu08] 和[TanChiangSrikant 11] 都声称各自的分布式算法提供了问题的最优解，但我们通过大量的仿真实验以及理论研究发现并非如此。 我们发现"荷载溢出型分布式功率控制算法"时常要么无法收敛，要么收敛得极其慢。而"分布式加权比例型信干噪比均衡算法"则经常在几次迭代之後就已经发散。 / 我们开发出了全新的分析和算法框架，并将其推广到适用于一般线性功率约束的情况。(前述论文的分析框架是基于某些非常特殊的线性功率约束。)在此基础上，我们逐一找出了前述算法中的错漏之处，并设计出我们的分布式梯度投影功率控制算法，以及与之相匹配的步长规则。 我们严格证明了该步长规则的有效性和算法的收敛性、最优性，并给出了算法复杂度的分析。(相较之下， [HandeRanganChiangWu08] 在算法收敛性证明上语焉不详，在其它方面则付之阙如;而[TanChiangSrikant 11] 的算法收敛性证明存在明显错误，在其它方面同样付之阙如。 )在某些情况下，我们的算法可以进一步提速并提升运行性能。 大量的仿真实验证实我们的算法在解的最优性和运行速度两方面都较前述算法优越。在某些情况下，我们算法的收敛速度上百倍快于前述算法。 / 总而言之，本论文成功解决了重要的效用优化问题并取得比前述论文更好的结果。它开发出全新的理论和算法框架，完全解决了步长规则和收敛性、最优性这些难题。展望未来，我们相信，本论文为快速功率控制在无线和移动解决方案中的应用打下了坚实的理论基础。 我们期待该理论框架能够提供更多問題的解決方案。 / This thesis develops a new theoretical and algorithmic framework for practical distributed power control in wireless networks. It proposes and investigates fast optimal distributed power control algorithms applicable to LTE as well as cognitive radio. The proposed algorithms beat the wellknown Qualcomm's loadspillage distributed power control algorithm in [HandeRanganChiangWu08] and the distributed weighted proportional SINR algorithm in [TanChiangSrikant11] in terms of both the optimality of the solution and the convergence speed. / Wireless network utility maximization via distributed power control is a classical and challenging issue that has attracted much research attention. The problem is often formulated as a system utility optimization problem under some transmit power constraints, where the system utility function is typically an increasing function of link signaltointerferenceplusnoiseratio (SINR). This problem is complicated by the fact that these wireless devices may interfere with each other. In particular, the wireless devices are affected by each other's transmit power, and the transmit powers and interferences experienced by the devices are interwoven in a complex manner. / Despite that, there have been good centralized algorithms for solving the problem. "Decentralized" solutions, on the other hand, are a different story. In practice, decentralized algorithms in which the devices interact with each other in a loosely coupled manner to improve the network utility, are easier to deploy than centralized algorithms. However, the design of workable (and provably workable in the mathematical sense) solution is very challenging. Small neglects can lead to solutions that are invalid or nonconvergent. For example, although both papers [HandeRanganChiangWu08] and [TanChiangSrikant11] claim their distributed algorithms to be optimal, we discover some experimental evidence suggesting that certain parts of these algorithms are not quite right. Oftentimes, the former fails to converge or converges extremely slowly, while the latter could diverge in the first few iterations. / To fix these glitches and to broaden the scope of the problem, we develop a new analytical and algorithmic framework with a more general formulation. With this framework, we can identify the sources of the defects and shortcomings of prior algorithms. We further construct an optimal distributed (sub)gradient projection algorithm with provably valid step size rules. Rigorous convergence proof and complexity analysis for our algorithm are given (note: convergence proof and complexity analysis were missing in [HandeRanganChiangWu08] and incorrect in [TanChiangSrikant11]). In some scenarios, our algorithm can be further accelerated to yield even better performance. Extensive simulation experiments confirm that our algorithms always outperform the prior algorithms, in terms of both optimality and efficiency. Specifically, simulation demonstrates at least 100 times faster convergence than the prior algorithms under certain scenarios. / In summary, this thesis solves the important SINRbased utility maximization problem and achieves significantly better results than existing work. It develops a new theoretical an dalgorithmic framework which completely addresses the difficult convergence and stepsize issues. Going forward, we believe the foundation established in this work will open doors to other fast distributed wireless and mobile solutions to problems beyond the power control problem addressed here. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Zhang, Jialiang. / Thesis (Ph.D.)Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 8387). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese. / Chapter 1  Introduction  p.1 / Chapter 1.1  Overview  p.1 / Chapter 1.2  Thesis Organization  p.6 / Chapter 1.3  Notations  p.7 / Chapter 2  System Model and Problem Formulation  p.8 / Chapter 2.1  System Model  p.8 / Chapter 2.2  Nonnegative Linear Power Constraints  p.9 / Chapter 2.3  Network Utility  p.10 / Chapter 2.4  Problem Formulation  p.11 / Chapter 2.5  Characterization of T[subscript c]  p.13 / Chapter 2.6  Multiple Constraints  p.16 / Chapter 3  Nice Properties of SINR Constraints  p.18 / Chapter 3.1  Convexity, Differentiability and Monotonicity  p.19 / Chapter 3.2  Fast Distributed Gradient Computation  p.20 / Chapter 3.2.1  Distributed SINRDriven SingleConstrained Power Control  p.21 / Chapter 3.2.2  Network Duality  p.23 / Chapter 3.3  The Case of Multiple Constraints  p.27 / Chapter 4  Network Utility Maximization in LogSINR Domain  p.32 / Chapter 4.1  Single Active Constraint and Ascent Directions  p.34 / Chapter 4.2  Multiple Constraints and Subgradient Projection  p.39 / Chapter 4.3  Unconstrained Equivalence and Complexity results of M = 1  p.46 / Chapter 4.4  Simulation Experiments  p.52 / Chapter 4.4.1  Simulation Settings  p.52 / Chapter 4.4.2  Negative results of algorithm 6 in [7]  p.54 / Chapter 4.4.3  Negative results of Qualcomm’s loadspillage algorithm in [25]  p.56 / Chapter 4.4.4  More results of our algorithms  p.62 / Chapter 5  Related Work  p.64 / Chapter 6  Conclusion  p.68 / Chapter 7  Appendix  p.72

8 
Online energy generation scheduling for microgrids with intermittent energy sources and cogeneration. / CUHK electronic theses & dissertations collectionJanuary 2013 (has links)
Lu, Lian. / Thesis (M.Phil.)Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 9195). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.

9 
Modelling short term probabilistic electricity demand in South AfricaMokhele, Molete January 2016 (has links)
Dissertation submitted for Masters of Science degree in Mathematical Statistics
in the
Faculty of Science,
School of Statistics and Actuarial Science,
University of the Witwatersrand
Johannesburg
May 2016 / Electricity demand in South Africa exhibit some randomness and has some important
implications on scheduling of generating capacity and maintenance plans. This work
focuses on the development of a short term probabilistic forecasting model for the 19:00
hours daily demand. The model incorporates deterministic influences such as; temperature
effects, maximum electricity demand, dummy variables which include the holiday
effects, weekly and monthly seasonal effects. A benchmark model is developed and an
outofsample comparison between the two models is undertaken. The study further assesses
the residual demand analysis for risk uncertainty. This information is important
to system operators and utility companies to determine the number of critical peak days
as well as scheduling load flow analysis and dispatching of electricity in South Africa.
Keywords: Semiparametric additive model, generalized Pareto distribution, extreme
value mixture modelling, non stationary time series, electricity demand

10 
Nonlinear control applied to power systemsVedam, Rajkumar 05 August 1994 (has links)
When large disturbances occur in interconnected power systems, there exists the danger
that the power system states may leave an associated region of stability, if timely corrective action
is not taken. Openloop remedial control actions such as fieldforcing, linetripping, switching of
seriescapacitors, energizing braking resistors, etc., are helpful in reducing the effects of the
disturbance, but do not guarantee that the postfault power system will be stabilized. Linear
controllers are widely used in the power industry, and provide excellent damping when the power
system state is close to the equilibrium. In general, they provide conservative regions of stability.
This study focuses on the development of nonlinear controllers to enhance the stability of
interconnected power systems following large disturbances, and allow stable operation at high
power levels.
There is currently interest in the power industry in using thyristorcontrolled seriescapacitors
for the dual purpose of exercising tighter control on steadystate power flows and
enhancing system stability. This device is used to implement the nonlinear controller in this
dissertation. A mathematical model of the power system controlled by the thyristorcontrolled
seriescapacitor is developed for the purpose of controller design.
Discretetime, nonlinear predictive controllers are derived by minimizing criterion
functions that are quadratic in the output variables over a finitehorizon of interest, with respect to
the control variables. The control policies developed in this manner are centralized in nature. The
stabilizing effect of such controllers is discussed. A potential drawback is the need to have large
prediction horizons to assure stability. In this context, a coordinatedcontrol policy is proposed, in
which the nonlinear predictive controller is designed with a small prediction horizon. For a class of
disturbances, such nonlinear predictive controllers return the power system state to a small
neighborhood of the postfault equilibrium, where linear controllers provide asymptotic
stabilization and rapid damping. Methods of coordinating the controllers are discussed. Simulation
results are provided on a sample fourmachine power system model.
There exists considerable uncertainty in power system models due to constantly shifting
loads and generations, lineswitching following disturbances, etc. The performance of fixedparameter
controllers may not be good when the plant description changes considerably from the
reference. In this context, a bilinear modelbased selftuning controller is proposed for the
stabilization of power systems for a class of faults. A class of generic predictive controllers are
presented for use with the selftuning controller. Simulation results on singlemachine and
multimachine power systems are provided. / Graduation date: 1995

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