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Page 1. Proceedings of the 3Vh Conference on Decision & <:untrol Phoenix, Arizona USA December 1999 FrP02 18:OO Stochastic Models for Short-Term Multipath Fading Channels: Chi-square and Ornstein-Uhlenbeck Processes ...
Research Interests: Mathematics, Signal Processing, Statistical Analysis, Differential Equations, Stochastic processes, and 12 moreStochastic Differential Equations, Electromagnetic Waves, Electromagnetic modeling, Fading, Stochastic models, Stochastic differential equation, Stochastic Model, Rayleigh Scattering, Channel model, Fading channels, Multipath fading channels, and Rayleigh distribution
Page 1. Proceedings of the 38' Conference un Derision 8; Control i'hoenix, Arizona USA Deremhcr 1999 FrP02 17:20 Stochastic Models for Long-Term Multipath Fading Channels and their Statistical Properties Charalambos D.... more
Page 1. Proceedings of the 38' Conference un Derision 8; Control i'hoenix, Arizona USA Deremhcr 1999 FrP02 17:20 Stochastic Models for Long-Term Multipath Fading Channels and their Statistical Properties Charalambos D. Charalambous * it Nickie Menemenlis * ...
Research Interests: Mathematics, Computer Science, Electromagnetic Waves, Fading, Stochastic differential equation, and 9 moreLog-Normal Distribution, Statistical Properties, Stochastic Model, Central Limit Theorem, Long Distance, Counting Process, Moment generating function method, Multipath Propagation, and Multipath fading channels
Research Interests: Computer Science, Information Technology, Computational Modeling, Modeling and Simulation, Fading Channel, and 15 moreDifferential Equations, Stochastic processes, Higher Order Thinking, Stochastic Differential Equations, State Space, Brownian Motion, Fading, Stochastic differential equation, Random Variables, Input Output, Instantaneous Power, Time varying, Fading channels, Multipath fading channels, and Higher order
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Page 1. General Non-Stationary Models for Short-Term and Long-Term Fading Channels Charalambos D. Charalambous* Nickie Menemenlis School of Information Technology and Eng. University of Ottawa, Ottawa, Ontario Tel (613) 562-5800x6215... more
Page 1. General Non-Stationary Models for Short-Term and Long-Term Fading Channels Charalambos D. Charalambous* Nickie Menemenlis School of Information Technology and Eng. University of Ottawa, Ottawa, Ontario Tel (613) 562-5800x6215 chadcha@site.uottawa.ca ...
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High penetrations of wind and solar generation on power systems are resulting in increasing curtailment. Wind and solar integration studies predict increased curtailment as penetration levels grow. This paper examines experiences with... more
High penetrations of wind and solar generation on power systems are resulting in increasing curtailment. Wind and solar integration studies predict increased curtailment as penetration levels grow. This paper examines experiences with curtailment on bulk power systems internationally. It discusses how much curtailment is occurring, how it is occurring, why it is occurring, and what is being done to reduce curtailment. This summary is produced as part of the International Energy Agency Wind Task 25 on Design and Operation of Power Systems with Large Amounts of Wind Power. Keywords-wind; solar; curtailment; transmission congestion
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High penetrations of wind and solar generation on power systems are resulting in increasing curtailment. Wind and solar integration studies predict increased curtailment as penetration levels grow. This paper examines experiences with... more
High penetrations of wind and solar generation on power systems are resulting in increasing curtailment. Wind and solar integration studies predict increased curtailment as penetration levels grow. This paper examines experiences with curtailment on bulk power systems internationally. It discusses how much curtailment is occurring, how it is occurring, why it is occurring, and what is being done to reduce curtailment. This summary is produced as part of the International Energy Agency Wind Task 25 on Design and Operation of Power Systems with Large Amounts of Wind Power. Keywords-wind; solar; curtailment; transmission congestion
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High penetrations of wind and solar generation on power systems are resulting in increasing curtailment. Wind and solar integration studies predict increased curtailment as penetration levels grow. This paper examines experiences with... more
High penetrations of wind and solar generation on power systems are resulting in increasing curtailment. Wind and solar integration studies predict increased curtailment as penetration levels grow. This paper examines experiences with curtailment on bulk power systems internationally. It discusses how much curtailment is occurring, how it is occurring, why it is occurring, and what is being done to reduce curtailment. This summary is produced as part of the International Energy Agency Wind Task 25 on Design and Operation of Power Systems with Large Amounts of Wind Power.
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This paper evaluates various aspects of flexibility in power systems worldwide within the multi-country study framework of IEA Wind Task 25, including grid components and actions which have been favoured for enhancing flexibility in... more
This paper evaluates various aspects of flexibility in power systems worldwide within the multi-country study framework of IEA Wind Task 25, including grid components and actions which have been favoured for enhancing flexibility in different areas/countries/regions, and how TSOs/ISOs/ utilities intend to manage variable generation in their operating strategies. One methodology to evaluate the diversity of flexibility sources is a “flexibility chart”, which can illustrate several flexibility parameters (e.g. hydro, CCGT, CHP, interconnection) in a polygonal radar (spider) chart. Keywordswind; variable generation, wind energy, solar energy, system flexibility; interconnection; Combined Cycle Gas Turbine (CCGT); Combined Heat and Power (CHP)
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Research Interests: Engineering and Economics
Hydro power is one of the most flexible sources of electricity production. Power systems with considerable amounts of flexible hydro power potentially offer easier integration of variable generatio ...
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The power control of wireless networks is formulated using a stochastic optimal control framework, in which the evolution of the channel is described by stochastic differential equations. Under this scenario, average and probabilistic... more
The power control of wireless networks is formulated using a stochastic optimal control framework, in which the evolution of the channel is described by stochastic differential equations. Under this scenario, average and probabilistic Quality of Service (QoS) measures are introduced to evaluate the performance of any control strategy, while a solution of the stochastic optimal power control is obtained through
Research Interests: Mathematics, Optimal Control, Linear Programming, Differential Equations, Stochastic processes, and 15 moreOptimization Problem, Stochastic Differential Equations, Wireless Network, Quality of Service, Stochastic optimal control, Power Control, Fading, Stochastic Optimization, Stochastic differential equation, Control Strategy, TRANSMITTERS, Code Division Multiple Access, LINEAR PROGRAM, Fading channels, and Tdma
Identifying the statistical characteristics of the received signal in wireless communications plays an important role in the design of different functions of the overall communications system. We demonstrate here that the density of the... more
Identifying the statistical characteristics of the received signal in wireless communications plays an important role in the design of different functions of the overall communications system. We demonstrate here that the density of the overall received signal, in multipath fading channels, deviates from the Gaussian, which is traditionally assumed. Using Edgeworth series expansion we provide explicit expressions in calculating this
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This paper introduces a novel methodology for the calculation of the maximum power transfer between two points in large electric power networks. It takes advantage that the problem possesses only one degree of freedom. Consequently, an... more
This paper introduces a novel methodology for the calculation of the maximum power transfer between two points in large electric power networks. It takes advantage that the problem possesses only one degree of freedom. Consequently, an optimization algorithm using a quadratic approximation of the load flow equations is tractable, and provides a fairly accurate solution in a single iteration. It
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Abstract- Large-scale wireless channel models are commonly used to describe the power-loss of signals, when the transmitter-receiver separation distance is large and the propagation environment is not heavily populated. In mobile... more
Abstract- Large-scale wireless channel models are commonly used to describe the power-loss of signals, when the transmitter-receiver separation distance is large and the propagation environment is not heavily populated. In mobile communications, the relative movement between the transmitter and the receiver and dynamic variations in the propagation environment, contribute to the dynamical spatial characteristics of the channel. This paper introduces linear stochastic dierential equations which describe the dynamical spatial characteristics of power-loss, which in turn give rise to log-normal densities for the signal attenuation coecient. These models are easy to analyze and implement. Several simulation scenarios are presented to illustrate the concepts. 1
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ABSTRACT This paper evaluates various aspects of flexibility in power systems worldwide within the multi-country study framework of IEA Wind Task 25: which grid components/ actions have been favoured for enhancing suitable flexibility in... more
ABSTRACT This paper evaluates various aspects of flexibility in power systems worldwide within the multi-country study framework of IEA Wind Task 25: which grid components/ actions have been favoured for enhancing suitable flexibility in different areas/countries/regions, and how have TSOs/ISOs/ utilities intended, and will intend, to manage variable generation in their operating strategies? One methodology to evaluate the diversity of flexibility is a “flexibility chart”, which can illustrate several flexibility parameters (e.g. interconnection, hydro, CCGT, CHP) in a polygonal radar (spider) chart.
Recent studies undertaken by Hydro-Québec evaluate three aspects of the integration of wind generation on their system reliability/security. In an operations setting, the impacts on intra-hourly operating reserves and on extra-hourly... more
Recent studies undertaken by Hydro-Québec evaluate three aspects of the integration of wind generation on their system reliability/security. In an operations setting, the impacts on intra-hourly operating reserves and on extra-hourly balancing reserves are examined. On an operations planning horizon, the wind power capacity credit is evaluated for winter peak loading conditions, when very cold temperatures risk disabling part of the wind generation. Depending on the study, various mathematical tools were used to generate the statistical characteristics of the load and anticipated wind generation: time-series analysis, wind simulation at new/future wind plant sites, power system simulation and a posteriori determination of forecast errors. However, in each case the measure used to quantify the impact of wind generation has been related to the change in the variance of the total system uncertainty as a result of the addition of wind power generation.
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This paper reviews the notion of flexibility and applies it to the problem of power system adequacy of supply and reserve computations in the face of a class of input uncertainties. It first presents some definitions given to flexibility... more
This paper reviews the notion of flexibility and applies it to the problem of power system adequacy of supply and reserve computations in the face of a class of input uncertainties. It first presents some definitions given to flexibility and flexibility indices in the power systems and process control industries. This is by no means a comprehensive review, but it
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ABSTRACT A challenge now facing utilities is how to adjust reserves in the operations-planning horizon of 0 to 48 hours ahead to mitigate the effects of wind variability and forecast uncertainties, in addition to those of load... more
ABSTRACT A challenge now facing utilities is how to adjust reserves in the operations-planning horizon of 0 to 48 hours ahead to mitigate the effects of wind variability and forecast uncertainties, in addition to those of load uncertainties and unavailability of generation. Reserves are maintained to ensure a high level of reliability and security to the system. They are subdivided into two groups: those responding within an intrahourly time horizon to regulate power imbalances, and those responding over a 1-48 hours ahead time horizon addressing the net forecast uncertainties. In this paper, we present a methodology for calculating reserves in the latter category, referred to as balancing reserves (BRs), following the integration of wind generation in a power system. Their computation is based on maintaining a predefined level of risk. The novelty here is that wind forecast error distributions are adjusted as a function of wind generation forecast levels. Gamma-like distributions with time-varying parameters, estimated from real data, were chosen to approximate the wind generation forecast errors. It is shown that this improved modeling significantly modifies the values of required balancing reserves and associated risk. The methodology developed is based on a clear criterion, namely risk, and it demonstrates the imperativeness of considering dynamic balancing reserves as a function of the imminent wind generation forecast.
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In this paper, the authors first develop a simple noniterative equation representing the dynamic hysteresis phenomenon. Secondly, they delineate two successful methodologies for implementing the dynamic hysteresis model in real-time. The... more
In this paper, the authors first develop a simple noniterative equation representing the dynamic hysteresis phenomenon. Secondly, they delineate two successful methodologies for implementing the dynamic hysteresis model in real-time. The model was validated using a capacitor coupled voltage transformer (CCVT) and a magnetic type voltage transformer (VT) model obtained from measurements performed in IREQ&#39;s laboratories on real units. Tests