This paper presents a binary search algorithm to deal with binary variables in mixed integer optimization problems. One example of this kind of problem is the optimal operation of hydrogen storage and energy sale and ...
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ISBN:
(纸本)9781509025923
This paper presents a binary search algorithm to deal with binary variables in mixed integer optimization problems. One example of this kind of problem is the optimal operation of hydrogen storage and energy sale and purchase into a microgrids context. In this work was studied a system composed by a microgrid that has a connection with the external electrical network and a charging station for electric cars. The system modeling was carried out by the Energy Hubs methodology. The proposed algorithm transforms the MIQP (Mixed Integer Quadratic Program) problem into a QP (Quadratic Program) that is easier to solve. In this way the overall control task is carried out the electricity purchase and sale to the power grid, maximizes the use of renewable energy sources, manages the use of energy storages and supplies the charge of the parked vehicles.
The key problem of RFID anti-collision algorithm is how to quickly and accurately identify, all the labels in the area of the reader. In order to solve the problem of long delay of tag identification of the binary sea...
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ISBN:
(纸本)9789881824202
The key problem of RFID anti-collision algorithm is how to quickly and accurately identify, all the labels in the area of the reader. In order to solve the problem of long delay of tag identification of the binary search algorithm, this paper presents an improved algorithm based on binary search algorithm. This algorithm modifies the parameter's length of the Request command, sets the dormant count, and imports the reverse search mechanism. The experimental results demonstrated that the proposed algorithm has reduced the amount of transmission data, resolved the problem of long delay of binary search algorithm and also improved the efficiency of label identification as well.
Grid-connected photovoltaic (PV) systems can provide grid support features by implementing flexible power point tracking (FPPT) strategies. Conventionally, the FPPT algorithms are based on linear searchalgorithms, su...
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Grid-connected photovoltaic (PV) systems can provide grid support features by implementing flexible power point tracking (FPPT) strategies. Conventionally, the FPPT algorithms are based on linear searchalgorithms, such as perturb and observe. These solutions offer good practical results but usually lead to oscillations around the steady-state operating point. The main contribution of this article is to propose a binarysearch based FPPT (BNS-FPPT) algorithm. BNS is a computer-science-based searching algorithm that performs a logarithmic search within a sorted data array until the target voltage value is found. Compared to sequential searching algorithms, the proposed BNS-FPPT algorithm conducts a nonlinear search and avoids waving around the final value, reducing the steady-state error. In this article, the basics of the BNS-FPPT are described in detail. In addition, experimental results are conducted on a laboratory setup to compare the BNS-FPPT performance against a state-of-the-art solution. The results show that compared to linear search-based FPPT algorithms, the proposed BNS-FPPT is able to provide the required grid support functionalities, and avoid waving around the final operation point.
In this paper, a cubic function negative determination lemma is proposed for stability analysis of delay-dependent power systems with energy storage systems (ESSs). Firstly, a Takagi-Sugeno (T-S) fuzzy power system mo...
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In this paper, a cubic function negative determination lemma is proposed for stability analysis of delay-dependent power systems with energy storage systems (ESSs). Firstly, a Takagi-Sugeno (T-S) fuzzy power system model with ESS is constructed by analyzing the nonlinear characteristics caused by the valve position restriction. Secondly, a fuzzy proportional-integral (P-I) controller is adopted to stabilize this fuzzy power system. Then, a negative determination lemma for cubic functions is developed to determine the allowable delay upper bound (ADUB) for the delayed fuzzy power system. Using the proposed lemma as well as the Lyapunov-Krasovskii functional (LKF), stability criteria are derived. In addition, a binary search algorithm is employed in order to reduce the computational burden when obtaining the ADUB. Finally, the effectiveness of the proposed methods is verified by two case studies.
Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms i...
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ISBN:
(数字)9781728193878
ISBN:
(纸本)9781728193878
Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms in the literature have disadvantages such as low convergence rate and requirement to scan for the local peaks. To overcome these drawbacks, this paper presents a fast and simple hybrid GMPPT algorithm, which combines the advantages of the binarysearch and the secant algorithms. The binary search algorithm is used for the global maximum power point (GMPP) reference generation and the secant algorithm is applied for tracking the generated power reference. The superlinear convergence rate of the secant algorithm and the logarithmic convergence rate of the binary search algorithm aid in fast convergence to the GMPP. The performance of the proposed hybrid GMPPT algorithm is validated through simulations in MATLAB-Simulink and also compared with a conventional GMPPT algorithm.
In this paper, a novel circuit for clock synchronization utilizing an interleaved delay line for coarse tuning and a phase interpolation component for fine tuning is proposed. The interleaved delay line improves the p...
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ISBN:
(纸本)9781467370059
In this paper, a novel circuit for clock synchronization utilizing an interleaved delay line for coarse tuning and a phase interpolation component for fine tuning is proposed. The interleaved delay line improves the precision to nearly half of conventional SMD and roughly aligns the output clock in two cycles. The rest phase error is compensated by the fine tuning component with binarysearch scheme and phase interpolation in five clock cycles and the error is suppressed under 3.1 ps. The circuit is designed and implemented using SMIC 130 nm 1P8M process with a 1.2 V voltage supply. The active area of proposed circuit is 260 mu mx140 mu m, and the total power consumption is 1.82mW@500MHz. The allowed operation frequency ranges from 200 MHz to 860 MHz, and the duty cycle varies in [32%, 77%]. It is compatible with the clock distribution networks and clock tree synthesis workflow aided by EDA software.
A single-stage multiport inverter (SSMPI)-fed motor drive, which connects dc-side energy sources to the ac motor without the application of any dc/dc power converters, offers a lightweight and highly-efficient multipl...
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The rapid development of wireless communication comes at the cost of dramatically increasing energy consumption, which makes the optimisation of energy efficiency (EE) extremely important. In this study, the authors f...
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The rapid development of wireless communication comes at the cost of dramatically increasing energy consumption, which makes the optimisation of energy efficiency (EE) extremely important. In this study, the authors focus on maximising EE of large-scale multiple-input-multiple-output system by optimising the transmit power and the number of selected base station antennas. First, the EE optimisation problem, i.e. finding the optimal EE-based values of each parameter, when the other one is fixed, is investigated. Then, the optimisation problem jointly considering these two parameters to maximise EE is studied. Moreover, the EE optimisation problem is extended to multi-user (MU) system. Owing to the formulation of EE, the EE optimisation problem is reformulated as the fractional programming problem, and the Dinkelbach method is proposed to deal with this problem instead of the binary search algorithm (BSA) by switching the objective function to a weighted sum of rate and power. Simulation results show that the EE can be improved with the proposed Dinkelbach method, and it has a faster convergence speed than the BSA without any performance loss for both single-user system and MU system.
In this study, two simple methods for the steady-state analysis of self-excited induction generators (SEIGs) are proposed. These methods neither require lengthy mathematical derivations nor any advanced optimisation t...
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In this study, two simple methods for the steady-state analysis of self-excited induction generators (SEIGs) are proposed. These methods neither require lengthy mathematical derivations nor any advanced optimisation techniques to solve the equivalent circuit of SEIGs. First method involves a simple linear searchalgorithm and the second method employs a binary search algorithm to find the operating frequency at any given rotor speed, leading to the performance predetermination of SEIGs. To start the search techniques, a systematic approach has been formulated for fixing the boundary values required for the unknown pu frequency. The efficacy of the proposed methods has been demonstrated by presenting the predetermined performance characteristics of a three-phase, 230V, four-pole, 50Hz SEIG. The same SEIG was also tested in the laboratory using a DC motor as the prime mover. The closeness observed between the predetermined values and the experimental results further confirms the validity of the searchalgorithms. It has also been shown that the proposed methods can be extended with the same simplicity, for carrying out the performance predetermination of the short-shunt configuration of SEIGs, used for obtaining improved voltage regulation with lagging power factor loads.
In this paper, we propose an improved anti-collision technique based on the binary search algorithm. The improvement is achieved thanks to the manner of the requests' building. This latter reduces considerably the...
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In this paper, we propose an improved anti-collision technique based on the binary search algorithm. The improvement is achieved thanks to the manner of the requests' building. This latter reduces considerably the responding tag's numbers and therefore, decreases the probability of bit's collision. Further, the algorithm provides a noticeable advantage for the length of transmitted binary data compared against basic binarysearch and dynamic binary search algorithms. Besides, it provides same performance in terms of average request's number making the identification process faster, and the expose time of information is then reduced. (C) 2012 Elsevier GmbH. All rights reserved.
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