Clustering Method for Reduction of Area and Power Consumption on Post-Silicon Delay Tuning

Today, wind power is becoming an important energy source for the future development of electric energy due to its clean and environmentally friendly characteristics. However, due to the uncertainty of incoming wind, the utilization efficiency of wind energy is extremely low, which means the problem of wind curtailment becomes more and more serious. To solve the issue of wind power large-scale consumption, a two-stage stochastic optimization model is established in this paper. Different from other research frameworks, a novel two-side reserve capacity mechanism, which simultaneously takes into account supply side and demand side, is designed to ensure the stable consumption of wind power in the real-time market stage. Specifically, the reserve capacity of thermal power units is considered on the supply side, and the demand response is introduced as the reserve capacity on the demand side. At the same time, the compensation mechanism of reserve capacity is introduced to encourage generation companies (GENCOs) to actively participate in the power balance process of the real-time market. In terms of solution method, compared with the traditional k-means clustering method, this paper uses the K-means classification based on numerical weather prediction (K-means-NWP) scenario clustering method to better describe the fluctuation of wind power output. Finally, an example simulation is conducted to analyze the influence of reserve capacity compensation mechanism and system parameters on wind power consumption results. The results demonstrate that with the introduction of reserve capacity compensation mechanism, the wind curtailment quantity of the power system has a significant reduction. Besides, the income of GENCOs is gradually increasing, which motivates their enthusiasm to provide reserve capacity. Furthermore, the reserve capacity mechanism designed in this paper promotes the consumption of wind power and the sustainable development of renewable energy.

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Reducing Total Power Consumption and Total Area Techniques for Network-on-Chip Through Disable Cores and Routers Based on Clustering Method

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v10.i2.pp514-520 ◽

2018 ◽

Vol 10 (2) ◽

pp. 514

Author(s):

Ng Yen Phing ◽

M.N. Mohd Warip ◽

Phaklen Ehkan ◽

S.Y. Teo

Keyword(s):

Power Consumption ◽

Large Scale ◽

Routing Algorithm ◽

Network On Chip ◽

Total Power ◽

Clustering Method ◽

Mesh Topology ◽

Total Power Consumption ◽

Promising Solution ◽

On Chip

<span lang="EN-US">Network-on-Chip (NoC) is a promising solution to overcome the communication problem of System-on-Chip (SoC) architecture. The execution of topology, routing algorithm and switching technique is significant because it powerfully affects the overall performance of NoC. In the Network-on-Chip, the total power consumption increasing due to the large scale of network. In order to solve it, a clustering method and disable cores and routers based on clustering method is apply onto mesh based NoC architecture. In the proposed approach, the optimization of total area and total power consumption are the major concern. Experiment results show that the proposed method outperformas the existing work. The clustering-mesh based method reduced the total area by 22% to 40 % and total power consumption by 22% to 56% compare to mesh topology. In addition, the proposed method by disable cores and routers based on clustering-mesh based method has decrease the total area by 45% to 87% and total power consumption by 33% to 75% compare to mesh topology.</span>

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Compositional Tuning of Negative Differential Resistance in Bulk Silver Iodide Memristor

New Journal of Chemistry ◽

10.1039/d0nj05427e ◽

2020 ◽

Author(s):

SMITA GAJANAN NAIK ◽

Mohammad Hussain Kasim Rabinal

Keyword(s):

Power Consumption ◽

Negative Differential Resistance ◽

Silver Iodide ◽

Differential Resistance ◽

Fast Response ◽

Low Power Consumption ◽

Switching Effect ◽

Memory Switching ◽

Bulk Silver ◽

Emerging Memory

Electrical memory switching effect has received a great interest to develop emerging memory technology such as memristors. The high density, fast response, multi-bit storage and low power consumption are their...

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Optimal design of a high homogeneous and small-size shim coil for atomic spin gyroscope based on 0-1 linear programming

International Journal of Applied Electromagnetics and Mechanics ◽

10.3233/jae-209319 ◽

2020 ◽

Vol 64 (1-4) ◽

pp. 165-172

Author(s):

Dongge Deng ◽

Mingzhi Zhu ◽

Qiang Shu ◽

Baoxu Wang ◽

Fei Yang

Keyword(s):

Linear Programming ◽

Power Consumption ◽

Low Power ◽

Optimization Design ◽

Structural Parameters ◽

Axial Position ◽

Low Power Consumption ◽

Optimal Method ◽

Atomic Spin ◽

Shim Coil

It is necessary to develop a high homogeneous, low power consumption, high frequency and small-size shim coil for high precision and low-cost atomic spin gyroscope (ASG). To provide the shim coil, a multi-objective optimization design method is proposed. All structural parameters including the wire diameter are optimized. In addition to the homogeneity, the size of optimized coil, especially the axial position and winding number, is restricted to develop the small-size shim coil with low power consumption. The 0-1 linear programming is adopted in the optimal model to conveniently describe winding distributions. The branch and bound algorithm is used to solve this model. Theoretical optimization results show that the homogeneity of the optimized shim coil is several orders of magnitudes better than the same-size solenoid. A simulation experiment is also conducted. Experimental results show that optimization results are verified, and power consumption of the optimized coil is about half of the solenoid when providing the same uniform magnetic field. This indicates that the proposed optimal method is feasible to develop shim coil for ASG.

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Analysis of Characteristics of Halogen and LED Automobile Lamps

Light & Engineering ◽

10.33383/2019-067 ◽

2020 ◽

pp. 57-62

Author(s):

Olga Yu. Kovalenko ◽

Yulia A. Zhuravlyova

Keyword(s):

Power Consumption ◽

Flip Chip ◽

Weather Conditions ◽

Luminous Flux ◽

Luminous Efficacy ◽

Colour Temperature ◽

Study Results ◽

Calculation Results ◽

Mandatory Rules ◽

Halogen Lamps

This work contains analysis of characteristics of automobile lamps by Philips, KOITO, ETI flip chip LEDs, Osram, General Electric (GE), Gtinthebox, OSLAMPledbulbs with H1, H4, H7, H11 caps: luminous flux, luminous efficacy, correlated colour temperature. Characteristics of the studied samples are analysed before the operation of the lamps. The analysis of the calculation results allows us to make a conclusion that the values of correlated colour temperature of halogen lamps are close to the parameters declared by manufacturers. The analysis of the study results has shown that, based on actual values of correlated colour temperature, it is not advisable to use LED lamps in unfavourable weather conditions (such as rain, fog, snow). The results of the study demonstrate that there is a slight dispersion of actual values of luminous flux of halogen lamps by different manufacturers. Maximum variation between values of luminous flux of different lamps does not exceed 14 %. The analysis of the measurement results has shown that actual values of luminous flux of all halogen lamps comply with the mandatory rules specified in the UN/ECE Regulation No. 37 and luminous flux of LED lamps exceeds maximum allowable value by more than 8 %. Luminous efficacy of LED lamps is higher than that of halogen lamps: more than 82 lm/W and lower power consumption. The results of the measurements have shown that power consumption of a LED automobile lamp is lower than that of similar halogen lamps by 3 times and their luminous efficacy is higher by 5 times.

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