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Multi-Stage Multi-Zone Defender-Attacker-Defender Model for Optimal Resilience Strategy With Distribution Line Hardening and Energy Storage System Deployment

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IEEE TRANSACTIONS ON SMART GRID 2021年第2期12卷 1194-1205页

作者： Zhang, Haibo Ma, Shentong Ding, Tao Lin, Yong Shahidehpour, Mohammad North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Beijing 102206 Peoples R China Xi An Jiao Tong Univ Dept Elect Engn Xian 710049 Peoples R China Guangdong Power Grid Corp CSG Grid Planning & Res Ctr Guangzhou 510080 Peoples R China IIT ECE Dept Chicago IL 60616 USA

This article proposes an optimal strategy by using line hardening and energy storage system (ESS) deployment to enhance the distribution system (DS) resilience in natural disasters. A multi-stage multi-zone DS line state set is established, based on the conceptual resilience quantification, to reflect spatial and temporal characteristics of the severe contingencies. To address random contingencies, the proposed problem is formulated as a defender-attacker-defender (DAD) model that minimizes the weighted load shedding in the worst-case scenario, and the column-and-constraint generation (C&cg) algorithm is used to solve the model efficiently. The effectiveness of the proposed strategy is verified on the modified IEEE 33-node DS and a modified power grid representing a province in China.

关键词： Resilience Planning Load modeling Power systems Tropical cyclones Power supplies Investment DS resilience natural disasters line hardening ESS DAD model C& cg algorithm

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A multigrid conjugate gradient method

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APPLIED NUMERICAL MATHEMATICS 2008年第12期58卷 1803-1817页

作者： Pflaum, Christoph Univ Erlangen Nurnberg Inst Comp Sci D-91058 Erlangen Germany

In this paper, we describe a new approach to combine the conjugate gradient method and the multigrid method. This approach simultaneously constructs conjugate new correction directions based on restricted gradients. The computational amount is O(N), where N is the number of unknowns. The algorithm is easy to implement. It only requires restriction and prolongation operators, matrix vector multiplications on several levels, and scalar products. Therefore, the algorithm can be applied to accelerate a multilevel algorithm with slow convergence. Numerical results for Poisson's equation with jumping coefficients and a Stokes type equation are presented. 2007 IMACS. Published by Elsevier B.V. All rights reserved.

关键词： Multigrid cg algorithm Singular perturbed problem

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Two-step preconditioning technique for hierarchical time-domain finite-element method

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IET MICROWAVES ANTENNAS & PROPAGATION 2009年第6期3卷 936-942页

作者： Ye, Z. B. Yang, Y. Xia, M. -Y. Wang, C. -F. Nanjing Univ Sci & Technol Dept Commun Engn Nanjing 210094 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Informat Sci & Technol Nanjing 210094 Peoples R China Peking Univ Dept Elect Beijing 100871 Peoples R China Natl Univ Singapore Temasek Labs Singapore 117508 Singapore

A two-step factorised sparse approximation inverse and symmetric successive over relaxation preconditioned conjugate gradient (cg) algorithm is proposed to solve the large system of linear equations resulted from the hierarchical implicit time-domain finite-element method (TDFEM). Convergence properties and CPU time of the proposed algorithm are compared with those of other preconditioned cg schemes. Numerical results demonstrate that the present approach is efficient for solving the large sparse system from hierarchical implicit TDFEM.

关键词： sparse matrices electromagnetic wave equation matrix decomposition convergence of numerical methods EM wave equation Finite element analysis Linear algebra (numerical analysis) two-step preconditioning technique Numerical approximation and analysis Electromagnetic waves: theory electromagnetic waves time-domain analysis cg algorithm matrix inversion hierarchical implicit time-domain finite-element method approximation theory two-step factorised sparse approximation inverse CPU time symmetric successive over-relaxation preconditioned conjugate gradient algorithm linear equation convergence property Electromagnetic wave propagation Interpolation and function approximation (numerical analysis) hierarchical implicit TDFEM conjugate gradient methods finite element analysis

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Transistor modeling based on LM-BPNN and cg-BPNN for the GaAs pHEMT

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 2024年第4期37卷

作者： Lin, Qian Yang, Shuyue Yang, Ruilan Wu, Haifeng Qinghai Minzu Univ Sch Phys & Elect Informat Engn Xining Peoples R China Chengdu Ganide Technol Chengdu 610000 Peoples R China

In order to address the challenges of complex process and low precision in traditional device modeling, double hidden layer back propagation neural network (BPNN) are trained using the conjugate gradient (cg) algorithm and the Levenberg-Marquardt (LM) algorithm, the cg-BPNN and LM-BPNN models of small signal for gallium arsenide (GaAs) pseudomorphic high electron mobility transistor (pHEMT) are obtained and analyzed here. At first, the scattering parameters (S-parameters) of GaAs pHEMT are divided into training set and test set randomly. Experimental results show that the cg-BPNN model is better than another S-parameters when predicting ImS(12) with mean square error (MSE) of 7.6632e-06, while LM-BPNN model predicts ImS(12) with MSE of 2.4672e-06. Meanwhile, the MSE of cg-BPNN model is higher than LM-BPNN model when predicting all the S-parameters. In addition, it shows a smaller fluctuation range for the error curve of LM-BPNN model, which is more stable than the cg-BPNN model. Therefore, the double hidden layer LM-BPNN model is the better choice to characterize the small signal of GaAs pHEMT.

关键词： BPNN cg algorithm GaAs pHEMT LM algorithm modeling

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A Task Assignment Method For Phi Structure 13

A Task Assignment Method For Phi Structure

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13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)

作者： Li, Yunchun Zhang, Tianyu Beihang Univ Dept Comp Sci Beijing Key Lab Network Technol Beijing Peoples R China Beihang Univ Dept Comp Sci JSI Beijing Peoples R China

ISBN: (纸本)9781479941698

Xeon Phi is a high performance co-processor launched by Intel in 2012. Though Phi is specifically designed for Exascale super computer, the task assignment for Phi is yet to be studied. Based on the special needs of task assignment for Phi, this paper presents an algorithm evolved from graph bisection algorithm: a graph is formed based on the memory dependence of tasks, by traversal the graph with an assuming cut point, iteratively finds out the groups of tasks with least dependence on tasks outside group, this algorithm can provide a task assignment solution between CPU and Phi aiming at memory optimization. Experiment reveals that this algorithm can significantly reduce the total memory usage of the job, also increase the efficiency of the execution. By reducing the memory usage, this algorithm can eliminates the memory bottleneck of Phi and expand the using range of Phi.

关键词： Task Assignment Phi Memory Usage cg algorithm

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An Improved Adaptive Channel Prediction for MIMO-OFDM Systems

An Improved Adaptive Channel Prediction for MIMO-OFDM System...

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3rd International Conference on Communications and Networking in China

作者： Zhang, Lei Jin, Zhen Chen, Wenzheng Zhang, Xianmin Zhejiang Univ Inst Informat & Commun Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)9781424423736

This paper presents a new simplified adaptive channel prediction scheme for MIMO-OFDM system. It is based on the conjugate gradient (cg) algorithm. This simplification also uses Alamouti's STBC code which leads to a simple decoding process. Compared with the traditional RLS algorithm, cg performances better in the decision-directed demodulation mode. And this scheme is also designed to have the capability to restrain the noise and it causes a better prediction result.

关键词： MIMO-OFDM Adaptive channel prediction cg algorithm RLS algorithm

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A Comparative View on Received Signal Strength (RSS) Based location Estimation in WSN

A Comparative View on Received Signal Strength (RSS) Based l...

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IEEE International Conference on Engineering and Technology (ICETECH)

作者： Bohidar, Swagatika Behera, Sasmita Tripathy, Chitta Ranjan Veer Surendra Sai Univ Technol Dept IT Burla Odisha India Veer Surendra Sai Univ Technol Dept CSE Burla Odisha India

ISBN: (纸本)9781479918546

Location estimation is a very useful concept in the real world. The assessment of the localization system is based on the wireless technology used, positioning algorithm, complexity, scalability, accuracy, power consumption, size and cost. GPS based localization are inconvenient due to cost and poor signal coverage area. Modern localization system use techniques like AoA, ToA, TDoA & RSS. Among them RSS is an attractive approach since it provides low cost and easy implementation. This survey paper mainly focuses the estimation of received signal strength (RSS) based LBS and it's attributes like accuracy, cost etc.

关键词： WSN RSS cg algorithm ZigBee sensor network Field decay law Lateration Regression Correlation Online calibration Phase Localization Phase

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Resilience improvement model of distribution network based on two-stage robust optimization

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ELECTRIC POWER SYSTEMS RESEARCH 2023年第1期223卷

作者： Shen, Yutong Wang, Guoqing Zhu, Jianming Univ Chinese Acad Sci Sch Engn Sci Beijing 100049 Peoples R China Univ Chinese Acad Sci Sch Emergency Management Sci & Engn Beijing 100049 Peoples R China

Frequent natural disasters have a serious impact on the power system. It is urgent to ensure the normal operation of the distribution network under disaster events. This paper divides the stages of improving the resilience of the distribution network into two aspects: long-term investment planning and short-term response. We combine the decision-making process with the chronological order of natural disasters, and a N-k uncertainty set is applied to describe the uncertainty of distribution network damage. We propose a line hardening and distributed genera-tions configuration strategy for the purpose of enhancing the resilience of distribution networks and countering extreme natural disasters. The problem is expressed as a tri-level robust optimization formulation in order to minimize the load shedding under the worst line damaged scheme. The first level corresponds to the long-term investment planning and preparation of pre-disaster stage. The second level represents the stage of line damage, and the third level matches the optimal scheduling during the post-disaster period. On the basis, this mixed integer linear programming problem is transformed into a solvable form, which is calculated by a modified Column and Constraint Generation (C & cg) algorithm. Case studies show that our proposed model can reduce load shedding to 70% of the original level, and the running time of the algorithm is less than 60 s, which verifies the model can effectively enhance the resilience of the distribution network and enhance its ability to respond to natural disasters.

关键词： Resilience enhancement Robust optimization Distribution network Line hardening C & amp cg algorithm

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A coordinated scheme of electricity-gas systems and impacts of a gas system FDI attacks on electricity system*

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2021年 131卷 107060-107060页

作者： Zhao, Bining Lamadrid, Alberto J. Blum, Rick S. Kishore, Shalinee Lehigh Univ Dept ECE Bethlehem PA 18015 USA Lehigh Univ Dept Econ Bethlehem PA 18015 USA Lehigh Univ Dept ISE Bethlehem PA 18015 USA

The increased penetration of natural gas-fired generation units in electricity systems calls for coordination of natural gas and electricity systems. Moreover, concerns over security of coordinated gas-electricity systems are spreading in recent years. Notably, both energy systems are vulnerable to malicious cyber-attacks. Within this context, this article (1) proposes a coordination scheme for the day-ahead schedule of natural gas and electricity systems;(2) defines a new class of false data injection (FDI) cyber-attacks on the gas demand and scheduling information of the natural gas system;and (3) investigates the impacts of such attacks on the operation of both energy systems. The coordination mechanism consists of three nested optimization problems. The natural gas system scheduling step in the mechanism is modeled as a bi-level max-min optimization problem with consideration of attacks. We use a column and constraint generation (C&cg) algorithm to solve this bi-level problem. The coordination mechanism and bi-level attack problem are examined using a case study based on the IEEE 24-node test system and a 9-node gas system, as well as a case study based on the IEEE 118-node test system and a 25-node gas system.

关键词： Power system operation Natural gas system Interdependent energy systems Cyber attacks C& amp cg algorithm

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A Task Assignment Method For Phi Structure

A Task Assignment Method For Phi Structure

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13th International Symposium on Distributed Computing and Applications to Business,Engineering & Science（DCABES 2014）

作者： Yunchun Li Tianyu Zhang Beijing Key laboratory of network technology Computer Science Department Beihang University JSI Computer Science Department Beihang University

关键词： Task Assignment Phi Memory Usage cg algorithm

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