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The increased penetration of solar photovoltaic (PV) energy sources into electric grids has increased the need for accurate modeling and prediction of solar irradiance and power production. Existing modeling and prediction techniques focus on long-term low-resolution prediction over minutes to years. This paper examines the stochastic modeling and short-term high-resolution prediction of solar irradiance...
This paper presents a new model-free control (MFC) mechanism that enables the local distribution level circuit consumption of the photovoltaic (PV) generation by local building loads, in particular, distributed heating, ventilation and air conditioning (HVAC) units. The local consumption of PV generation will help minimize the impact of PV generation on the distribution grid, reduce the required battery...
In this paper, a model reference control based inertia emulation strategy is proposed. Desired inertia can be precisely emulated through this control strategy so that guaranteed performance is ensured. A typical frequency response model with parametrical inertia is set to be the reference model. A measurement at a specific location delivers the information of disturbance acting on the diesel-wind...
During the past decades the electric power infrastructure has evolved into one of the largest and most complex systems due to its extreme dimension, geographic reach and high reliability requirements. Maintaining sufficient security margins requires major enhancement of the existing control. Particular emphasis should be placed on improving the ability of the system to survive extreme contingencies,...
One of the key issues in wind energy is the control design of the wind energy conversion system (WECS) to achieve an expected performance under both power system and mechanical constraints which are subject to stochastic wind speeds. Quadratic control methods are widely used in the literature for such purposes, e.g., Linear Quadratic Gaussian (LQG) and Model Predictive Control (MPC). In this paper,...
This paper presents a new method to make the Proper Orthogonal Decomposition (POD) more accurate for reducing the order of nonlinear systems. POD fails to capture the nonlinear degrees of freedom in highly nonlinear systems because it assumes that data belongs to a linear space. In this paper, the solution space is grouped into clusters where the behavior has significantly different features. Although...
In this work, we focus on the encoder, decoder, and controller design for jump linear systems over jump communication channels.The plant state information (PSI) and the channel state information (CSI) are assumed to be known at the both transmitter and the receiver ends. Both the PSI and the CSI are governed by a finite state Markov chain. The control and communication system is designed for the general...
Power system stability, with the aid of communication infrastructure, is studied using the frameworks of flocking and partial difference equation (PdE). The system dynamics are described using PdE, which reflects the power network topology. Cases of communications with negligible or non-negligible delays are both considered. Conditions of system stability are derived, based on which an algorithm for...
Accurate radio channel modeling is essential for deploying advanced wireless sensors in harsh industrial and urban environments. Site-specific propagation modeling tools are required to understand the channel parameters with in these environments. Multipath delay spread determines the frequency-selective fading characteristics of the channel. This paper describes a novel, computationally inexpensive...
Stochastic state-space models can be used to describe the time-varying nature of wireless channels. This paper validates a long-term fading channel model that predicts signal strength from measured received signal strength measurements. Such channel models can be used for optimizing wireless networks deployed for industrial automation, public Internet access, and other applications. This paper uses...
A central component of the design of wireless sensor networks is reliable and efficient transmission of data from source to destination. However, this remains a challenging problem because of the dynamic nature of wireless links, such as interference, diffusion, and path fading. When the link quality worsens, packets will get lost even with retransmissions and acknowledgments when internal queues...
Cognitive radio system is an intensively studied area in that it saves money and bandwidth by sensing the available licensed spectrum for unlicensed users. This advantage provides a promising future for the application of cognitive radio in smart grid. In this paper, we propose to communicate through a cognitive radio link between the sensors at the consumer side and the control center of smart grid...
Security is an important issue in networked control systems, but has not received sufficient attention. The fundamental step for realizing a security protocol for networked control systems is to establish a secret key between the sensor and controller. Traditional approaches for key establishment such as the Public Key Infrastructure (PKI) usually incur significant overhead. In this paper, the common...
Curve evolution implementations of the Mumford-Shah functional are of broad interest in image segmentation. These implementations, however, have initialization problems. A mathematical analysis of the initialization problem for the Chan-Vese implementation is provided in this paper. The initialization problem is a result of the non-convexity of the MumfordShah functional and the top-down hierarchy...
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