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Despite the recognized importance of demand side management (DSM) for mitigating the impact of variable energy resources and reducing the system costs, the academic and industrial literature have taken divergent approaches to DSM implementation. The prequel to this work has demonstrated that the inflation of the net load baseline forecast, used by the industrial unit commitment formulation, leads...
Leakage is the most important factor for unaccounted losses in any pipe network around the world. However, most state-of-the-art leak detection systems have limited applicability, lack in reliability and depend on user experience for data interpretation. In addition, most of them are not scalable to the network level because inspection is slow. In this study, we present a new autonomous in-pipe leak...
Today, multifrequency Atomic Force Microscopy is a popular technique to extract properties of a sample surface other than the topography through different channels. Such channels are represented by the higher eigenmodes and harmonics of the flexural vibrations of the cantilever. In one method two or more eigenmodes are actuated simultaneously, whereas another method captures the harmonics excited...
The intermittent nature of renewable energy has been discussed in the context of the operational challenges that it brings to electrical grid reliability. In contrast, Demand Side Management (DSM) with its ability to allow customers to adjust electricity consumption in response to market signals has often been recognized as an efficient way to mitigate the variable effects of renewable energy. However,...
A wide variety of maximum power point tracking (MPPT) algorithms for photovoltaic systems (PVS) have been proposed and developed. These MPPT algorithms vary in many aspects such as the selected criteria and techniques used. In this paper, we propose an effective design methodology for hardware implementation of PVS into FPGA/ASICs. To achieve our goal, we propose the application of the model based...
Detailed simulations were performed with a model of a proposed thermal management system (TMS) that allows robots to operate within environments that are hostile to the free expulsion of waste heat. Previous simulations have shown that a closed-loop control method is necessary for the proposed TMS to maintain proper robot operation for long missions. A closed-loop control based on model-predictive...
Power generation reserves play a central role for maintaining the balance of generation and consumption. Reserves, scheduled in advance, compensate for forecast error, variability and transmission losses. However, as reserves are a costly commodity, their amount should be carefully assessed to prevent unnecessary expense. Currently, the quantity of required reserves are determined based upon a posteriori...
Leakage is the most important factor for unaccounted losses in any pipe network around the world. Most state of the art leak detection systems have limited applicability, lack in reliability and depend on user experience for data extraction. This paper is about a novel system for robotic pipe integrity inspection. Unlike existing systems, detection in based on the presence of a pressure gradient in...
The impact of variable energy resources (VER) on power system reserve and regulation requirements has been a subject of extensive research in recent years. However, the conclusions about the scale of the impact diverge, since most of the results are obtained from specific case studies. This paper proposes a generalized approach to the assessment of power system reserve and regulation requirements...
The impact of variable energy resources (VER) on power system operations and planning has been a subject of extensive research in recent years. However, most of the results are based on specific case studies and do not allow generalization. This paper proposes a generalized approach to the assessment of power system imbalances. Penetration level, day-ahead and short-term forecast errors, and variability...
This paper focuses on the control of systems with unknown dynamics and deals with the class of systems described by ??=f(x,t)+h(x,t)+B(x,t)u+d(t) where h(x,t) and d(t) are unknown dynamics and unexpected disturbances, respectively. A new control method, Time Delay Control (TDC), is proposed for such systems. Under the assumption of accessibility to all the state variables and their derivatives, the...
The control of systems with unknown dynamics is an important issue, particularly in applications where large parameter variations and unexpected disturbances are possible. Several methods have been developed for such cases. These include adaptive control, variable structure control and learning control. This paper first defines this control problem and then proposes a new method - Model Reference...
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