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Adaptive Stochastic Control for the Smart Grid

Machine Learning Aided Decision Making and Adaptive Stochastic Control in a Hierarchical Interactive Smart Grid

Machine Learning Aided Decision Making and Adaptive Stochastic Control in a Hierarchical Interactive Smart Grid

... scenarios, adaptive incorporation of new information might be ...being adaptive since the computational complexity is even higher than the original day-by-day type of scheduling, especially when the sliding ...

210

Adaptive protection architecture for the smart grid

Adaptive protection architecture for the smart grid

... novel control strategies and new generation and distribution related technologies driven by the smart ...of adaptive setting selection is one way of tackling some of the protection performance ...an ...

8

Evolution of Control for the Smart Transmission Grid

Evolution of Control for the Smart Transmission Grid

... • Monitoring at the control center  Needs all data points.  But at slow rates (every few seconds)[r] ...

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Stochastic Optimal Control of Grid-Level Storage

Stochastic Optimal Control of Grid-Level Storage

... battery control policy, to let the end-user minimize the total discounted ...optimal control policies for single and multiple batteries are ...horizon stochastic control problem and the ...

143

An adaptive sparse grid method for elliptic PDEs with stochastic coefficients

An adaptive sparse grid method for elliptic PDEs with stochastic coefficients

... In this work, we discuss the anisotropic sparse grid method with adaptive approach inspired from the works [3, 16, 8]. In [8], we have introduced the Kahrunen-Loève expansion of the inverse of the diffusion ...

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On the Control of Active End-nodes in the Smart Grid

On the Control of Active End-nodes in the Smart Grid

... optimal control is found by solving a sequence of two optimization problems for every time slot in a decentralized fashion (at two different levels), where the length of each time slot is 1 minute during which the ...

178

An adaptive controller of hydro generators for smart grid application in Malaysia

An adaptive controller of hydro generators for smart grid application in Malaysia

... Islanding operation is commonly simulated due to a fault at a point of common coupling (PCC) which leads to the opening of associate circuit breaker. Besides, islanding also may be formed due to the opening of circuit ...

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Adaptive Rate Stream Processing for Smart Grid Applications on Clouds

Adaptive Rate Stream Processing for Smart Grid Applications on Clouds

... virtual smart meter has two TCP server sockets: one is the data stream for transmitting power usage tuples to the stream pipeline, and the other is a control port to re- ceive adaptive rate ...

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Adaptive Rate Stream Processing for Smart Grid Applications on Clouds

Adaptive Rate Stream Processing for Smart Grid Applications on Clouds

... The pipeline first checks if each individual power event re- ports usage that exceeds a certain threshold, U max , defined by the utility. Crossing this will trigger a critical notifica- tion to a utility manager. Next, a ...

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Modelling Chinese Smart Grid A Stochastic Model Checking Case Study

Modelling Chinese Smart Grid A Stochastic Model Checking Case Study

... a stochastic model, such that we know mean sojourn time for each state but the delay is not ...a stochastic model is more convenient and more realistic then using deterministic delay, since the philosophy ...

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L1 adaptive control of hysteresis in smart materials

L1 adaptive control of hysteresis in smart materials

... ABSTRACT Smart materials display coupling between electrical, magnetic, thermal and elastic ...to smart materials presents a challenge in control of these ...robust adaptive inverse ...

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Adaptive control design for hysteretic smart systems

Adaptive control design for hysteretic smart systems

... Figure 1. Approximate model inverse employed as a filter for adaptive control design in hysteretic systems. 2. MODEL DEVELOPMENT The key to constructing an inverse compensator that accommodates hysteresis ...

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Adaptive Control of Hysteretic Smart Material Systems

Adaptive Control of Hysteretic Smart Material Systems

... of adaptive control is to ensure stable performance in the presence of modeling uncertainties, one needs to ensure that the changes in refer- ence input and unknown parameters due to possible faults or ...

114

Adaptive Optimal Stochastic Control of Delay--Tolerant Networks

Adaptive Optimal Stochastic Control of Delay--Tolerant Networks

... Optimal stochastic control of delay tolerant networks is studied in this pa- ...problem, adaptive policies are designed that combine estimation and control: based on stochastic ...

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Autonomous Control of Smart Micro Grid in Islanding Mode

Autonomous Control of Smart Micro Grid in Islanding Mode

... 4. Realization of DEM using Support Vector Machine SMG demands the presence of DEMS to make its control distributed similar to its nature of generation. DEMS being an autonomous controller employs machine learning ...

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Loosed coupled simulation of smart grid control systems

Loosed coupled simulation of smart grid control systems

... distributed smart grid systems becomes a primordial part of the development that has to be performed prior to the system ...the smart grid have been modeled separately, having simulators where ...

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Grid-friendly Power Control for Smart Photovoltaic Systems

Grid-friendly Power Control for Smart Photovoltaic Systems

... advanced control strategies to address the ...power control solutions are of high interest for PV systems, as an essential function of smart PV inverters, to minimize the adverse impact in ...

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Adaptive Routing Algorithm for Information Management in Distributed Microgrids in Smart Grid

Adaptive Routing Algorithm for Information Management in Distributed Microgrids in Smart Grid

... and control ca- pabilities underpinned by reliable communication system are ...voltage control and power flow management (Lo and Ansari ...and control messages exchanged by the distributed ...

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Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project

Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project

... In their most general form, short-term load forecasting models can be classified into two broad categories: statistical approaches and Artificial Intelligence-based (AI-based) models. Both models forecast the load demand ...

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Probabilistic DHP adaptive critic for nonlinear stochastic control systems

Probabilistic DHP adaptive critic for nonlinear stochastic control systems

... DHP adaptive critic methods in returning the system state from its initial value which is taken to be x 0 = 2 to the origin is then ...optimal control signal, u t is generated from the controller network at ...

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