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The effective integration of significant levels of intermittent renewable resources in power system operations will be enabled by increased participation of demand-side resources. In this work, the use of these demand-side resources for balancing reserves is examined in the context of solutions with varying degrees of robustness. The objective is a simulation-based analysis of the impact of requiring...
In this paper, we study a system consisting of a photovoltaic (PV) array panel, dc_dc boost converter and a load (resistor). The control strategy is based on the robust integral backstepping control design to be applied to the dc_dc boost converter in order to maximize the power of the solar generating system, it allows a direct control of the power converter. In order to improve the robustness and...
The application of Complex Networks have significantly advanced in the last decade and brought about valuable insights to properties of real world systems by evaluating their structure, topology and construction. Similarly here an electric power network is considered as a complex network where its buses are the nodes and edges are the links of a complex network graph respectively. Power grid Vulnerability...
In this paper, we present the design of a new type of fuzzy controllers to enhance the transient stability and achieve voltage regulation of multimachine power system subject to persistent disturbance by incorporating sliding mode control theory with fuzzy control technology. First, a fuzzy model of the given nonlinear system is constructed to represent the local dynamic behaviors of the given nonlinear...
BRIEF emerged as a novel alternative to conventional floating-point-based descriptors such as SIFT or SURF. In contrast to these descriptors, BRIEF is a descriptor represented by a binary number offering two main advantages: low memory footprint and fast descriptor comparison. These qualities make it a suitable descriptor to be implemented on a hardware architecture, where the comparison operation...
We propose, study and compare control strategies for preparing pure quantum states by switching dissipative dynamics. We show that with a suitable joint linear transformation the quantum (affine) dynamical generators can be transformed into linear ones, and classical results can be applied. In particular we describe and compare stabilize time-based and state-based switching rules, showing that the...
The number of vehicles in cities has increased dramatically due to rapid economic development. However, the infrastructure for accommodating these vehicles has grown relatively slow. Alleviating the pressure on the urban transport system and solving the ‘parking difficulty’ problem have thus become hot topics recently. In this paper, an intelligent parking system based on geomagnetic field variations...
In modern software engineering environments, tools that use Domain-Specific Languages (DSLs) are often applied. The usual workflow of such tools is that the textual input written in the DSL is parsed and a semantic model is instantiated. This model is later passed to another software component that processes it, e.g. a model transformation, a code generator or a simulator. Building the semantic model...
This paper presents a discrete time torque observer and an extended H∞ filter to estimate the rotor speed and position in a permanent magnet machine. Those estimated variables are key components of a robust sensorless controller for the machine when it is associated with a wind turbine emulator test-rig. In addition, an iterative maximum power point tracking algorithm is proposed for maximum efficiency...
In this contribution one pattern generator from the literature is tested with a multibody model of a 12-internal-DoF biped robot: a recently proposed generator based on sliding modes, which can be seen as a robustificated version of a classical algorithm. As proposed in the literature, the feedback of the multibody tracking error improve the performance of the multibody ZMP, which is now tested for...
The uncertainty and variability of renewable energy sources are challenging problems in the operation of power systems. In this paper, we focus on the robust dispatch of generators to overcome the uncertainty of renewable power predictions. The energy management costs of supply, spinning reserve, and power losses, are jointly optimized by the proposed robust optimal power flow (OPF) method with a...
The availability of low-power, radiation-resistant components has an enormous importance in the development of the electronic systems for modern detectors in a High Energy Physics (HEP) experiment. This paper describes the characterization in terms of radiation effects of two serializer blocks within a high speed transmitter, prior developed with the objective of achieving a power consumption of less...
We present an efficient decoding algorithm for constant rate quantum hyper graph-product LDPC codes which provably corrects adversarial errors of weight proportional to the code minimum distance, or equivalently to the square-root of the block length. The algorithm runs in time linear in the number of qubits, which makes its performance the strongest to date for linear-time decoding of quantum codes...
Power Networks are composed of power generation, power transmission and power distribution networks. These are also called electro mechanical system due to the coupling of electrical system with mechanical system. Like any other technological system, power networks are also prone to faults and failures due to this electro-mechanical complex interconnection. In addition, there is a concept of smart...
This paper deals with the control of active and reactive power of a Wind Energy Conversion System with connection to the grid. A brushless doubly-fed generator (BDFM) is used. Centralized control based on Variable Structure Systems concepts is proposed to regulate active and reactive power in the system. Simulation results are presented to show the performance of the control algorithm proposed.
Optimization problems in electric power systems under high levels of uncertainty have been solved using stochastic programming methods for years. This is especially the case for medium-term problems and systems with a large share of hydro storages. The increased uncertainty in power system operation coming from volatile renewables has made the stochastic techniques interesting in shorter time frames...
The non-supervised insertion of renewable energy sources into electric power networks causes fluctuations that may lead to voltage instability. The simple and coordinated secondary voltage control systems are used to avoid this instability. To obtain maximum regulation performance with optimized number of controllers, an appropriate selection of pilot buses is suggested. In this paper new algorithm...
The structural cost of offshore wind energy can be drastically reduced by the development of floating wind turbines. However, the design of a feedback controller for rotor speed control of such turbines faces fundamental bandwidth limitations because of the presence of nonminimum phase zeros. New developments in lidar technology enable turbines to measure the incoming wind and use the measurements...
Aggregations of electric loads, like heating and cooling systems, can be controlled to help the power grid balance supply and demand, but the amount of balancing reserves available from these resources is uncertain. In this paper, we investigate data-driven optimization methods that are suited to dispatching power systems with uncertain balancing reserves provided by load control. Specifically, we...
This paper proposes a decentralized output feedback control scheme applied to two-area interconnected power system. The controller synthesis problem is formulated as the scaled ℋ∞ control problem and a new LMI-based algorithm is proposed to compute the decentralized controller. The proposed controller is robust with regard to parametric uncertainties and also attenuates bounded exogenous disturbances...
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