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arXiv 2020年

作者： Lu, Yang Lian, Jianming Zhu, Minghui Ma, Ke The System Security Group Lancaster University LancasterLA1 4YW United Kingdom The Grid-Interactive Controls Group Oak Ridge National Laboratory Oak RidgeTN37831 United States The School of Electrical Engineering and Computer Science Pennsylvania State University University ParkPA16802 United States The Optimization and Control Group Pacific Northwest National Laboratory RichlandWA99354 United States

In this paper, the privacy and security issues associated with the transactive energy system (TES) deployment over insecure communication links are addressed. In particular, it is ensured that (1) individual agents' bidding information is kept private throughout hierarchical market-based interactions;and (2) any extraneous data injection attack can be quickly and easily detected. An implementation framework is proposed to enable the cryptography-based enhancement of privacy and security for the deployment of any general hierarchical systems including TESs. Under the proposed framework, a unified cryptography-based approach is developed to achieve both privacy and security simultaneously. Specifically, privacy preservation is realized by an enhanced Paillier encryption scheme, where a block design is proposed to significantly improve computational efficiency. Attack detection is further achieved by an enhanced Paillier digital signature scheme, where a stamp-concatenation mechanism is proposed to enable detection of data replace and reorder attacks. Simulation results verify the effectiveness of the proposed cyber-resilient design for transactive energy systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Cryptography

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A procedure to generate discrete MIMO closed-loop benchmark via LFT with application to state space identification 15

A procedure to generate discrete MIMO closed-loop benchmark ...

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15th International Conference on Informatics in control, Automation and Robotics, ICINCO 2018

作者： Puerto Acosta, Jorge A. Bottura, Celso P. Intelligent Systems and Control Laboratory School of Electrical and Computer Engineering University of Campinas/UNICAMP Cidade Universitria Zeferino Vaz Av. Albert Einstein 400 Campinas/SPCEP 13083-852 Brazil

ISBN: (纸本)9789897583216

In this paper we use the conformal transformation known as linear fractional transformation (LFT), with the purpose of generating a discrete multivariable closed-loop benchmark from continuous multivariable closed-loop control system, having in mind state space identification. To reach this objective we propose a procedure based on the general framework representation (GFR) and on the multi input multi output (MIMO) LFT bilin-ear discretization process. We first use the LFT tool to obtain the continuous joint control-output (augmented) system form for representing the canonical closed-loop continuous system. Afterwards, we discretize the augmented continuous closed-loop system in order to obtain an augmented discrete model, then, we calculate the discrete plant and controller in the state space form. An application to the multivariable control of a continuous chemical reactor is presented and also we use the discrete benchmark generated to identify a state space model an example of the potential of the our proposal. Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved

关键词： Closed loop control systems

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Power Forecasting of Solar Photovoltaic Power Systems Based on Similar Day and M5' Model Trees 36

Power Forecasting of Solar Photovoltaic Power Systems Based ...

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第36届中国控制会议

作者： Xiaoning Zhang Xu Zhang Fang Fang School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781538629185

Distributed energy systems with solar photovoltaic(PV) power grow rapidly in recent years in *** power forecasting is important for deep utilization and new exploitation of PV *** study advances power forecasting modelling of PV systems using a method based on similar day selection and M5’ model trees.A one-day-ahead power output forecast model is derived for an experimental *** meteorological forecasting data,historical power output,and the M5’ model trees are integrated to build this model.A 1-kW amorphous silicon solar photovoltaic power experiment system is used to verify the validity of the proposed *** test results show that the forecasting model and the method are effective and promising.

关键词： power forecasting solar photovoltaic similar day M5’ model trees

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Improved Interactive Multiple Models Based on Self-Adaptive Turn Model for Maneuvering Target Tracking

Improved Interactive Multiple Models Based on Self-Adaptive ...

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International Conference on Information Science and Technology (ICIST)

作者： Rong Zhou Kemin Zhou Menghua Wu Jing Teng School of Control and Computer Engineering North China Electric Power University Beijing China

Tracking maneuvering target is a challenging problem and Interactive Multiple Model (IMM) is proved an effective solution for it. In multiple model, the constant turn model (CT) is usually used to describe the target's turning motion. However, fixed or partially adaptive turn angular rate μ is usually adopted in CT which leads to tracking accuracy decrease. In this paper, an improved interactive multiple model set based on self-adaptive CT model is proposed. In self-adaptive CT model, the value of the turn angular rate ω is calculated based on both x and y velocity instead of only one of them or fixed value. To verify the improvement, particle filter, which is proved an effective way to solve non Gaussian nonlinear problem, is used to track maneuvering target. The performance of the proposed multiple model set is verified in two different scenarios and compared to two widely used multiple model sets. Simulation results show that the proposed model set has better performance both in tracking accuracy and computational cost.

关键词： Computational modeling Target tracking Adaptation models Turning Acceleration Particle filters

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control-Oriented Wind Farm Wake Modeling with Near Wake Performance and LES Validation

Control-Oriented Wind Farm Wake Modeling with Near Wake Perf...

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Chinese Automation Congress (CAC)

作者： Zhen Xie Zhongwei Lin Zhenyu Chen Chuanxi Wang Qingru Cui Gengda Li Weidong Wang Daizhen Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control Computer and Engineering North China Electric Power University Beijing P. R. China Guodian New Energy Technology Research Institute Co. Ltd Beijing P. R. China CHN ENERGY (Shandong) New Energy Co. Ltd. Jinan P. R. China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

With the deepening research on wind farms, wake effects have gradually been paid attention to and used in wind farm optimization. During this development, the engineering wake models are adopted, which could be further improved in modeling accuracy. This paper adopts a control-oriented wake model to improve the modeling accuracy, especially in the near wake region. A double-Gaussian wake model is incorporated with appropriate wake deflection and combination models and a vertical wind profile function. Based on a Large-eddy simulated dataset, the proposed model is adopted and verified. The widely-used Gaussian wake model is also adopted and compared with the proposed model. Results show good agreement between the presented model and LES results, especially in the focused near wake region.

关键词： Wind turbines Computational modeling Wind farms Rotors Electron tubes Wind speed Mathematical model

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Reliability Evaluation of Thermal Power Units Based on AHP and ELECTRE-Ⅲ 29

Reliability Evaluation of Thermal Power Units Based on AHP a...

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第29届中国控制与决策会议

作者： Le Wei Xiaowei Li School of Control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781509046584

The security and stable operation of thermal power units plays a very important role in a power system,so the reliability evaluation of thermal power units has become a critical *** combining the advantages of the Analytic Hierarchy Process(AHP) and the Elimination et Choice Translating Reality(ELECTRE) Ⅲ,a reliability evaluation method for thermal power units based on AHP and ELECTRE-Ⅲ is put forward.A new method of proposed "net" procedure is presented to rank these scheme with valued outranking *** advantages and disadvantages of the scheme are expressed from the harmony index and the discordance index,which constitute valued outranking relation by ELECTRE Ⅲ and weights of criteria are determined by *** method is clear and easily to be accepted by the decision maker with the person's actual decision thinking of human *** the results of the example analysis show that the method is feasible for the reliability evaluation of thermal power units.

关键词： Analytic Hierarchy Process(AHP) Elimination et Choice Translating Reality(ELECTRE) Thermal power unit Reliability evaluation System decision

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An Analysis of the Effects of Flexibility Modification on System Frequency Regulation 2

An Analysis of the Effects of Flexibility Modification on Sy...

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2nd IEEE International Conference on Power and Energy Applications, ICPEA 2019

作者： Yuguang, Niu Ming, Du Enfu, Dong Ke, Zhou Weichun, Ge Huanhuan, Luo State Key Laboratory for Alternate Electric Power System with Renewable Energy Source North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China State Grid Liaoning Electric Power Supply CO. LTD Shenyang Liaoning Province110004 China Xi'an Thermal Power Research Institute CO. LTD Xi'an Shanxi Province710054 China

ISBN: (纸本)9781728115962

With the flexibility modification of thermal power plant, the minimum technical output of units has been reduced. Different kinds of operating modes can be chosen by operators of power grids, which will influence the frequency regulation of power grids. The mathematical model of reheater steam turbine and load frequency control (LFC) are established considering flexibility modification of thermal power plants. Two scenarios are created and simulations are carried out. The results indicate that with the increase of units investigated in power system, the frequency deviation decrease obviously in both a stand-alone control area and two interconnected control areas. The conclusions presented here provide some guidance on operation of thermal power plants in regions to reduce the amplitude of frequency oscillation. © 2019 IEEE.

关键词： Frequency response

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Attitude Synchronization for Multiple Quadrotors using Reinforcement Learning

Attitude Synchronization for Multiple Quadrotors using Reinf...

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第三十八届中国控制会议

作者： Hao Liu Wanbing Zhao Frank L.Lewis Zhong-Ping Jiang Hamidreza Modares School of Astronautics Beihang University Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies of Ministry of Education Beihang University the University of Texas at Arlington Research Institute University of Texas at Arlington the Control and Networks Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University the University of Texas at Arlington Research Institute

In this paper, a reinforcement learning based control law is proposed to solve the attitude synchronization problem of the leader-following multi-quadrotor systems. The overall system is composed of a team of quadrotors, modeled with highly nonlinear and coupled dynamics. An optimal control solution is obtained by solving an augmented HamiltonJacobi-Bellman equation. A reinforcement learning approach is used to learn the optimal control law. Simulation results are provided to verify the effectiveness of the proposed controller.

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Multi-Sensor Node Fusion Localization Using Unscented Kalman Filter in Rough Environments

Multi-Sensor Node Fusion Localization Using Unscented Kalman...

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第30届中国控制与决策会议

作者： Yueyang Huang Yuanwei Jing Yuanbo Shi The School of Information and Control Engineering Liaoning Shihua University The School of Computer and Communication Engineering Liaoning Shihua University The School of Information Science and Engineering Northeastern University

Localization information of wireless sensor network is an important application in indoor complicate environment. In line-of-sight（LOS） environment, localization accuracy is very high. However, the measurement may be contaminated by nonline-of-sight（NLOS） propagation, which will result in localization accuracy degrades. To cover come this problem, this paper proposes a modified Kalman filter（MKF） localization method based on Unscented Kalman filter（UKF）. Firstly, test statistic method is employed to identify the NLOS condition. Then we smooth the measurement range using linear Kalman filter（LKF） and mitigate the NLOS effect using MKF. Finally, the method of UKF is used to determine the localization of unknown motion node. The validity of the proposed approach is demonstrated through the numerical simulation and experiment

关键词： nonline-of-sight Unscented Kalman filter mobile location wireless sensor network Multi-Sensor Node fusion

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Distributed bandit online convex optimization with time-varying coupled inequality constraints

arXiv

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arXiv 2019年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Johansson, Karl H. Chai, Tianyou Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China

This paper considers the problem of distributed bandit online convex optimization with time-varying coupled inequality constraints. This problem can be defined as a repeated game between a group of learners and an adversary. The learners attempt to minimize a sequence of global loss functions and at the same time satisfy a sequence of coupled constraint functions. The global loss and the coupled constraint functions are the sum of local convex loss and constraint functions, respectively, which are adaptively generated by the adversary. The local loss and constraint functions are revealed in a bandit manner, i.e., only the values of loss and constraint functions at sampled points are revealed to the learners, and the revealed function values are held privately by each learner. We consider two scenarios, one- and two-point bandit feedback, and propose two corresponding distributed bandit online algorithms used by the learners. We show that sublinear expected regret and constraint violation are achieved by these two algorithms, if the accumulated variation of the comparator sequence also grows sublinearly. In particular, we show that O(T θ1 ) expected static regret and O(T 7/4−θ1 ) constraint violation are achieved in the one-point bandit feedback setting, and O(T max{κ,1−κ}) expected static regret and O(T 1−κ/2) constraint violation in the two-point bandit feedback setting, where θ1 ∈ (3/4, 5/6] and κ ∈ (0, 1) are user-defined trade-off parameters. Finally, these theoretical results are illustrated by numerical simulations of a simple power grid example. Copyright © 2019, The Authors. All rights reserved.

关键词： Convex optimization

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