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Free Probability Theory Based Event Detection for Power Grids Using IoT-enabled Measurements

Journal of Modern Power Systems and Clean Energy 2024年第5期12卷 1396-1407页

作者： Hongxia Wang Bo Wang Jiaxin Zhang Chengxi Liu Hengrui Ma Hubei Engineering and Technology Research Center for AC/DC IntelligentDistribution Network School of Electrical Engineering and AutomationWuhanUniversityWuhanChina School of Electrical Engi neering and Automation Wuhan UniversityWuhanChina

Taking the advantage of Internet of Things(IoT)enabled measurements,this paper formulates the event detection problem as an information-plus-noise model,and detects events in power systems based on free probability theory(FPT).Using big data collected from phasor measurement units(PMUs),we construct the event detection matrix to reflect both spatial and temporal characteristics of power gird *** event detection matrix is further described as an information matrix plus a noise matrix,and the essence of event detection is to extract event information from the event detection *** associating the event detection problem with FPT,the empirical spectral distributions(ESDs)related moments of the sample covariance matrix of the information matrix are computed,to distinguish events from“noises”,including normal fluctuations,background noises,and measurement *** on central limit theory(CLT),the alarm threshold is computed using measurements collected in normal ***,with the aid of sliding window,this paper builds an event detection architecture to reflect power grid state and detect events *** studies with simulated data from Anhui,China,and real PMU data from Guangdong,China,verify the effectiveness of the proposed *** with other data-driven methods,the proposed method is more sensitive and has better adaptability to the normal fluctuations,background noises,and measurement errors in real PMU *** addition,it does not require large number of training samples as needed in the training-testing paradigm.

关键词： Big data event detection empirical spectral distribution(ESD) free probability theory(FPT) information-plus-noise model Internet of Things(IoT) phasor measurement unit(PMU)

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Optimal Stochastic Scheduling Strategy of Multi-vector Energy Complex Integrated with Full-blown Power-to-biomethane Model

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 863-873页

作者： Guanwei Zeng Chengxi Liu Minfang Liao Yongjian Luo Xuzhu Dong Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network WuhanChina the School of Electrical Engineering and Automation Wuhan UniversityWuhanChina

We propose an optimal stochastic scheduling strategy for a multi-vector energy complex(MEC),considering a fullblown model of the power-to-biomethane(Pt M)*** conventional optimization that uses a simple efficiency coefficient to coarsely model energy conversion between electricity and biomethane,a detailed Pt M model is introduced to emphasize the reactor kinetics and chemical equilibria of *** model crystallizes the interactions between the Pt M process and MEC flexibility,allowing to adjust the operating condition of the methanation reactor for optimal MEC operation in stochastic *** optimization and flowsheet design of the Pt M process increase the average selectivity of methane(i.e.,ratio between net biomethane production and hydrogen consumption)up to 83.7%in the proposed synthesis *** results can provide information and predictions to operators about the optimal operating conditions of a Pt M unit while improving the MEC flexibility.

关键词： Multi-vector energy complex optimal stochastic scheduling power-to-biomethane unit process synthesis natural gas

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Power Flow Analytical Solutions and Multi-dimensional Voltage Stability Boundaries Based on Multivariate Quotient-difference Method

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1168-1178页

作者： Chengxi Liu Qiupin Lai School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan 430072China IEEE

This paper proposes a novel Multivariate Quotient-Difference(MQD)method to obtain the approximate analytical solution for ac power flow ***,in the online environment,the power flow solutions covering different operating conditions can be directly obtained by plugging values into multiple symbolic variables,such that the power injections and consumptions of selected buses or areas can be independently *** method first derives a power flow solution through a Multivariate Power Series(MPS).Next,the MQD method is applied to transform the obtained MPS to a Multivariate Pad´e Approximants(MPA)to expand the Radius of Convergence(ROC),so that the accuracy of the derived analytical solution can be significantly *** addition,the hypersurface of the voltage stability boundary can be identified by an analytical formula obtained from the coefficients of *** direct method for power flow solutions and voltage stability boundaries is fast for many online applications,since such analytical solutions can be derived offline and evaluated online by only plugging values into the symbolic variables according to the actual operating *** proposed method is validated in detail on New England 39-bus and IEEE 118-bus systems with independent load variations in multi-regions.

关键词： Analytical power flow solution multivariate power series multivariate Padéapproximants multivariate quotient-difference multi-dimensional voltage stability boundary

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Response Characteristics and Regulation Feasibility of dc Charging Station Controlled by GFM/GFL Virtual Inertia for Grid Frequency Stability

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7743-7758页

作者： Ke, Song Ding, Leyan Shi, Xingye Fan, Peixiao Wang, Hongli Chen, Lei Yang, Jun Chung, Chi Yung Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation School of Electrical Engineering and Automation Wuhan430072 China Department of Electrical and Electronic Engineering Hong Kong

To investigate the feasibility and differences between the grid-forming (GFM) and grid-following (GFL) control strategies for the frequency response (FR) in dc charging stations (CSs), this article first identifies the characteristics of the virtual inertia of GFM and GFL, and establishes an analytical model of the system FR considering FR in CSs. Second, the virtual inertia response control model of CSs is proposed under GFM and GFL controls, respectively. And their FR characteristics are analyzed. Finally, the FR characteristics of CS FR under variations of time delay, FR capacity, and virtual inertia are analyzed in the improved IEEE three-machine nine-node and ten-machine 39-node benchmarks. The results show that the FR of the GFM CS is less affected by time delay and can affect the grid frequency in the form of inertia when the amount of electric vehicles (EVs) required in the CS groups is about 300–400. Whereas the overcapacity of the GFL CS will cause the system frequency to oscillate. Therefore, the choice of virtual inertia control strategy adopted by the CS is closely related to the number of EVs in the station and its adjustable margin. © 2015 IEEE.

关键词： Vehicle-to-grid

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A Parallel-type Load Damping Factor Controller for Frequency Regulation in Power Systems with High Penetration of Renewable Energy Sources

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1019-1030页

作者： Zhe Zhang Siyang Liao Yuanzhang Sun Jian Xu Deping Ke Bo Wang Rui Chen Yibo Jiang Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and AutomationWuhan UniversityWuhan 430072China State Grid Hubei Electric Power Company Limited Economic Research Institute Wuhan 430074China State Grid(Suzhou)City&Energy Research Institute Company Limited Suzhou 215000China

Renewable energy sources(RESs)are rapidly devel-oping and their substitution for traditional power generation poses significant challenges to the frequency regulation in power *** load damping factor D characterizes the active power of load that changes with power system frequency,which is an important factor influencing the frequency ***,the value of D is small,resulting in the limitation in frequency regulation of the power *** paper proposes a parallel-type load damping factor controller to enhance load damping factor by utilizing static var generators(SVGs)in ***,it discusses the configuration method for the relevant parameters of the controller,evaluates its frequen-cy regulation capability,investigates the impact of large-scale application of the controller on static and dynamic loads,and conducts a comprehensive evaluation of the impact of the damping factor control process on the voltage stability of the main *** large-scale application of the proposed controller can significantly improve the frequency regulation capability,and almost have no influence on the working status of the *** can also significantly improve the dynamic performance of system *** proposed controller can provide technical support for the frequency regulation of new power systems with high proportion of RESs.

关键词： Load damping factor parallel-type load damping factor controller power system frequency regulation highproportion renewable energy system

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LCC-MCC Hybrid HVdc Power Flow Calculation Based on Holomorphic Embedding Method 20

LCC-MCC Hybrid HVDC Power Flow Calculation Based on Holomorp...

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20th International Conference on ac and dc Power Transmission 2024, acdc 2024

作者： Luo, Yongjian Liu, Chengxi He, Zaiyu Li, Xiaoming School of Electrical Engineering and Automation Wuhan University Wuhan China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan China

ISBN: (纸本)9781837242672

To capitalize on the advantages and mitigate the disadvantages of LCC and MMC HVdc systems, the LCC-MMC hybrid HVdc system has been developed. The steady-state models for LCC and MMC systems are essentially different. The derivation of the power flow model for this hybrid system is of fundamental importance. This paper first establishes the mathematical model of the LCC-MMC hybrid HVdc system. Then, based on the holomorphic embedding (HE) method, the HE formulation for the constructed model is derived. The approach for germ solution and the high-order power series calculation process is established. Furthermore, a sequential solution algorithm tailored to the hybrid system is proposed. Finally, the effectiveness and accuracy of the proposed method are verified using a modified IEEE 14-bus system incorporating a hybrid LCC-MCC HVdc line. © The Institution of engineering & technology 2024.

关键词： Embeddings

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Steady-state Voltage Security-constrained Optimal Frequency Control for Weak HVdc Sending-end ac Power Systems

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 658-669页

作者： Qiangqiang Wang Liangzhong Yao Jian Xu Yuping Zheng Wei Li Wei Wang School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network(Wuhan University) Wuhan 430072China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)Nanjing 211106China

Due to the fact that a high share of renewable energy sources(RESs)are connected to high-voltage direct current(HVdc)sending-end ac power systems,the voltage and frequency regulation capabilities of HVdc sending-end ac power systems have *** has resulted in potential system operating problems such as overvoltage and overfrequency,which occur simultaneously when block faults exist in the HVdc *** this study,a steady-state voltage security-constrained optimal frequency control method for weak HVdc sending-end ac power systems is *** integrated virtual inertia control of RESs is employed for system frequency *** dynamic reactive power compensation devices are utilized to control the voltage of all nodes meet voltage security ***,an optimization model that simultaneously considers the frequency and steady-state voltage security constraints for weak HVdc sending-end ac power systems is *** optimal control scheme with the minimum total cost of generation tripping and additional dynamic reactive power compensation required is obtained through the optimization *** are conducted on a modified IEEE 9-bus test system and practical Qing-Yu line commutated converter based HVdc(LCC-HVdc)sending-end ac power system to verify the effectiveness of the proposed method.

关键词： Renewable energy source(RES) high-voltage direct current(HVdc) ac power system optimal frequency control steady-state voltage security dynamic reactive power compensation

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Optimization of Direct Load Control Demand Response for Industrial Micro-Grid Using Smart Meter 9

Optimization of Direct Load Control Demand Response for Indu...

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9th Asia Conference on Power and Electrical engineering, acPEE 2024

作者： Bahageel, Ahmed Osman. M. Rashed, Ghamgeen Izat Gony, Hashim Ali I. Badjan, Ansumana Shaheen, Husam I. Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network China Wuhan University School of Electrical Engineering and Automation Hubei Province Wuhan430072 China Changsha University Huhan Changsha China

ISBN: (纸本)9798350309638

The industrial sector is one of the largest electricity consumers, and it is essential to optimize energy consumption to reduce costs and enhance energy efficiency. Demand response (DR) is a strategy that aims to manage and reduce peak electricity demand by shifting energy consumption to off-peak hours or reducing energy consumption during Peak demand periods. Smart meters are a promising technology for implementing DR programs in the industrial microgrid, as they enable real-time monitoring and control of energy usage, providing customers with accurate information about their energy consumption patterns. This study presents an integrated approach to enhance the efficiency of direct load control demand response (DLC-DR) in industrial settings by leveraging smartmeter technology. The primary objective is to concurrently lower energy consumption and associated expenses while reinforcing grid stability. The optimization is formulated as Mixed Integer Linear Programming (MILP). The case study Simulated in the plastic industry shows that Direct load control Demand response in an industrial microgrid with Renewable Energy Resources (RES) and a battery energy storage system (BESS) can effectively utilize the reliability and flexibility of the power grid by reducing peak demand as well as the electricity cost. © 2024 IEEE.

关键词： Smart meters

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Two-Stage Robust Optimization for Microgrid Incorporating Renewable Energy Uncertainties via Bayesian Inference with Gaussian Processes 9

Two-Stage Robust Optimization for Microgrid Incorporating Re...

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9th Asia Conference on Power and Electrical engineering, acPEE 2024

作者： Haider, Hussain Jun, Yang Rashed, Ghamgeen Izat Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Hubei Province Wuhan430072 China Wuhan University School of Electrical Engineering and Automation Hubei Province Wuhan430072 China

ISBN: (纸本)9798350309638

This study contributes a data-driven two-stage robust optimization framework to account for the uncertainties in renewable energy sources within microgrid systems. The framework integrates Bayesian inference with Gaussian Process regression (GPR) analysis to evaluate and model the output uncertainties of photovoltaic (PV) and Wind turbine (WT) power sources. Furthermore, the correlation between these sources is established at various uncertainty levels. The two-stage optimization approach incorporates the day-ahead dispatch stage and real-time adjusting under economic factors in the second stage. So, the framework controls day-ahead dispatch strategies to optimize microgrids in the prospect of varying PV-WT output and electricity demand. Subsequently, it involves real-time optimization under the worst-case scenario, enhancing the microgrid's economic viability and operational efficiency. Finally, a column-and-constraint generation (C&CG) method is employed to address the robust optimization model by incorporating different levels of uncertainty. The proposed method is established on an IEEE 33-bus distribution network, ensuring its applicability and reliability. © 2024 IEEE.

关键词： Gaussian distribution

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PJ-ADMM Based Parallel Energy Sharing Mechanism Between Prosumer Aggregator and Charging Station 3

PJ-ADMM Based Parallel Energy Sharing Mechanism Between Pros...

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3rd IEEE International Conference on Electrical engineering, Big Data and Algorithms, EEBDA 2024

作者： Wang, Hongli Yang, Jun Liao, Fengran Jia, Legang Du, Nianjiang Li, Tianhui School of Electrical Engineering and Automation Wuhan University Hubei Engineering and Technology Research Center for Ac Dc Intelligent Distribution Network Wuhan China State Grid Yantai Power Supply Company Yantai China

ISBN: (纸本)9798350380989

Flexible resources such as renewable energy and electric vehicles are expanding. In order to efficiently utilize the energy from various types of prosumers, an energy sharing market mechanism between prosumer aggregator and charging stations is proposed. Based on the PJ-ADMM algorithm, the proposed mechanism is capable of parallel iterative computation to realize market clearing. We validate the effectiveness of the proposed mechanism through a case study. After participating in energy sharing, the social welfare is improved and the resources can be optimally allocated. © 2024 IEEE.

关键词： charging station energy sharing PJ-ADMM prosumer

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