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Global synchronous discontinuous pulse width modulation method with fast calculation capability for distributed three-phase inverters

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Journal of Modern power systems and Clean Energy 2016年第1期4卷 103-112页

作者： Tao XU Ran WEI Ke ZHOU Feng GAO Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University) Ministry of EducationJinan 250061China State Grid Jining Electric Power Supply Company Jining 272000China

When multiple distributed converters are integrated, the high frequency harmonics will randomly accumulate at the point of common coupling(PCC). This paper proposes a new fast global synchronous discontinuous pulse width modulation(GSDPWM) method of threephase inverters to effectively attenuate the high frequency current harmonics at PCC. Firstly, the basic principle and the realization method of GSDPWM for three-phase inverters are explained, which can be employed for different modulation types. Then a fast calculation method,which can equally derive the minimized total harmonic distortion(THD) of total current, is proposed to release the calculation burden. Finally, MATlab simulations and experimental results are presented to verify the performance of GSDPWM.

关键词： Global synchronous pulse width modulation Three-phase inverters High frequency harmonics Discontinuous pulse width modulation

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Distributed Real-time State Estimation for Combined Heat and power systems

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Journal of Modern power systems and Clean Energy 2021年第2期9卷 316-327页

作者： Tingting Zhang Wen Zhang Qi Zhao Yaxin Du Jian Chen Junbo Zhao the Key Laboratory of Power System Intelligent Dispatch and Control Ministry of EducationShandong UniversityJinan 250061China the Department of Electrical and Computer Engineering Mississippi State UniversityStarkvilleMS 39762USA

This paper proposes a distributed real-time state estimation(RTSE)method for the combined heat and power systems(CHPSs).First,a difference-based model for the heat system is established considering the dynamics of heat *** heat system model is further used along with the power system steady-state model for holistic CHPS state estimation.A cubature Kalman filter(CKF)-based RTSE is developed to deal with the system nonlinearity while integrating both the historical and present measurement ***,a multi-timescale asynchronous distributed computation scheme is designed to enhance the scalability of the proposed method for largescale *** distributed implementation requires only a small amount of information exchange and thus protects the privacy of different energy *** carried out on two CHPSs show that the proposed method can significantly improve the estimation efficiency of CHPS without loss of accuracy compared with other existing models and methods.

关键词： Combined heat and power system(CHPS) cubature Kalman filter(CKF) heat dynamics multi-time-scale asynchronous distributed scheme real-time state estimation(RTSE)

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Coordinated optimization for controlling short circuit current and multi-infeed DC interaction

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Journal of Modern power systems and Clean Energy 2014年第4期2卷 374-384页

作者： Dong YANG Kang ZHAO Yutian LIU State Grid Shandong Electric Power Research Institute Jinan 250002China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China

Due to increased penetration of renewable energies,DC links and other emerging technologies,power system operation and planning have to cope with various uncertainties and *** order to solve the problems of exceeding short circuit current and multi-infeed DC interaction,a coordinated optimization method is presented in this ***,a branch selection strategy is proposed by analyzing the sensitivity relationship between current limiting measures and the impedance ***,the impact of network structure changes on the multi-infeed DC system is *** the coordinated optimization model is established,which considers the cost and effect of current limiting measures,the tightness of network structure and the voltage support capability of AC system to multiple ***,the non-dominated sorting genetic algorithm II combining with the branch selection strategy,is used to find the Pareto optimal *** studies on a planning power system demonstrated the feasibility and speediness of this method.

关键词： Operation and planning Multiple DC infeed Short circuit current Sensitivity analysis Multi-objective optimization

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A Decentralized P2P Electricity Market Model for Microgrids

A Decentralized P2P Electricity Market Model for Microgrids

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IEEE-power-and-Energy-Society General Meeting (PESGM)

作者： Sabounchi, Moein Wei, Jin The Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538677032

Inspired by the online peer-to-peer (P2P) goods trading that has become increasingly popular in the recent years, in this paper we propose a decentralized P2P electricity marketing mechanism for a microgrid (MG) consisting of networked prosumer (consumers with distributed generation capability) clusters by incorporating Blockchain technology and Smart Contracts (SC). Our proposed electricity marketing mechanism is a two-level hierarchical one: In the upper level, the aggregators (AGGs) cooperate with each other and in the lower level, the local PRs maximize their financial profits via P2P energy trading. This mechanisms potentially results in price of anarchy instances in which the targets of the two level players will be contradictory. To address this issue, we assume that there exists a single universal cost function for both levels of the game. In our simulations, we evaluate the performance of our proposed P2P electricity marketing mechanism in maximizing the self-sufficiency of the microgrid and minimizing the side effects of the discriminatory pricing.

关键词： P2P Electricity Market Price of Anarchy Blockchain Electricity Market Aggregator Distributed Energy Resources (DERs)

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PV Prediction based on PSO-GS-SVM Hybrid Model 3

PV Prediction based on PSO-GS-SVM Hybrid Model

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Joint 2019 International Conference on Ubiquitous power Internet of Things, UPIOT 2019 and 2019 3rd International Symposium on Green Energy and Smart Grid, SGESG 2019

作者： KONG Hongmei SUI Huibin ZHANG Peng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

Photovoltaic power generation is affected by many factors, with volatility and intermittent characteristics. Large-scale photovoltaic access to the power grid poses great challenges to the safety and stability of power systems. Therefore, accurate prediction of photovoltaic power generation helps dispatchers adjust scheduling schedules in a timely manner, effectively reducing the adverse impact of photovoltaic power generation access on the power grid. This paper proposes a hybrid PV power prediction model based on PSO-GS-SVM. The particle swarm optimization(PSO) method is used to optimize the large step size of the support vector machine(SVM), and the parameter optimization range is obtained. GridSearch Method(GS) refined parameters optimization of PSO-SVM, and obtained PSO-GS-SVM hybrid model. The model is used to train and predict the normalized and dimensional sunny and non-clear working conditions data sets, and compared with BP neural network, SVM and PSO-SVM models. The results show that the PSO-GS-SVM hybrid model has better generalization ability and higher fitting effect.

关键词： PV Prediction based on PSO-GS-SVM Hybrid Model Hybrid

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Enabling Highly Efficient Spectral Discretization-Based Eigen-Analysis Methods by Kronecker Product

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IEEE TRANSACTIONS ON power systemS 2017年第5期32卷 4148-4150页

作者： Ye, Hua Mou, Qianying Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

This letter presents a computationally efficient approach to implement the spectral discretization-based methods for eigenanalysis of large delayed cyber-physical power system by intensively exploiting the unique property of Kronecker product. Theoretical analyses and numerical tests demonstrate the novelty and effectiveness of the efficiently implemented explicit infinitesimal generator discretization method.

关键词： Cyber-physical power system eigen-analysis small signal stability spectral discretization time delay wide-area measurement system

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Energy Storage Involved in Eliminating Intermittent Two-Stage Robust Optimal dispatching

Energy Storage Involved in Eliminating Intermittent Two-Stag...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Ma, Yiran Han, Xueshan Yang, Ming Zhao, Bincheng Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781728143033

As renewable energy increasingly connecting into the power grids, the regulation capacity of automatic power generation control (AGC) is gradually decreasing, which is urgent to cooperate with active equipment such as energy storage. In current, dispatch decision-making methods often ignore the intermittent effects of renewable energy. Energy storage can take advantage of its fast regulation rate to better cope with the intermittency of renewable energy based on AGC unit dispatching. Therefore, this paper proposes a two-stage robust optimization dispatching model in which energy storage participates in eliminating intermittency of renewable energy, and abstracts the track of energy storage and AGC units in control as a process between any two moments. This model can make full use of the rapid adjustment capability of energy storage and makes up for the lack of response speed of the AGC unit, improves its climbing ability to release the unit's adjustment potential, and responds to the intermittent problems of renewable energy power generation. The model is solved by column and constraint generation algorithm (C CG). The example shows that the model is more robust than the model that does not consider energy storage participates in eliminating intermittent effect and has obvious advantages in economy and efficiency. © 2020 IEEE.

关键词： Energy storage

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A Wind power Ramp Events Detection Method Based on Improved SDA and Endpoint Correction

A Wind Power Ramp Events Detection Method Based on Improved ...

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2024 IEEE IAS Industrial and Commercial power system Asia, I and CPS Asia 2024

作者： Shan, Shuaijie Yang, Ming Tao, Lidanlan Li, Menglin Wang, Chuanqi Yu, Yixiao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350352290

To improve the wind power ramping event detection accuracy, this paper presents a method for the detection of wind power ramping events by adopting adaptive gate width parameters, trend merging and ramping event's endpoint modification. First, the unique parameter ϵ of the swinging door algorithm (SDA) is obtained by calculating the average absolute value of the difference of the initial data (AAVD), the detected SDA compression segments are screened for extreme values, and the trend segments to be measured are obtained by merging the endpoint of the compression segment with the extreme value. Second, with the bump event detection definition and trend merge rules, the set of ramping events is preliminarily determined. Finally, in accordance with the established definition of a ramp, the endpoints of each of the above sets of ramping events have been modified. The inherent defects of traditional SDA detection methods are solved, and the optimal ramping events are obtained. The results demonstrate that, in comparison to the two control detection methods, the proposed detection scheme is capable of both adaptive acquisition of the SDA's ϵ in accordance with the data characteristics and the detection of the endpoints of ramp events with high precision. © 2024 IEEE.

关键词： endpoints correction improved SDA neighbor trend segment merging ramping events detection

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An Improved Variable Step Size P&O MPPT Algorithm Based on Constant Voltage and K Division Technology 3

An Improved Variable Step Size P&O MPPT Algorithm Based on C...

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Joint 2019 International Conference on Ubiquitous power Internet of Things, UPIOT 2019 and 2019 3rd International Symposium on Green Energy and Smart Grid, SGESG 2019

作者： ZHANG Peng SUI Huibin KONG Hongmei Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

In the literature, various techniques have been proposed to achieve the maximum output power of photovoltaic cells, but the fixed step size perturbation and observation and incremental conductance algorithm can't enhance effectively the peculiarity of the PV system, due to their slow tracking speed, big power loss and limited accuracy. An improved variable step size perturbation and observation MPPT algorithm based on the K division method is proposed. The symbol of dp/du before and after the disturbance is judged, if the two adjacent samples have the same symbol, the disturbance step size remains unchanged. On the contrary, the disturbance step size will be divided by K and become the new disturbance step size until achieving the maximum output power. The simulation establish on MATlab/Simulink reveals that the method has fast response speed, high accuracy, low power loss, and can locate the new maximum power point quickly when environmental conditions change.

关键词： An Improved Variable Step Size P&O MPPT Algorithm Based on Constant Voltage and K Division Technology

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Probabilistic Forecast of Wind power in High Wind Scenarios of Cold Wave Weather 7

Probabilistic Forecast of Wind Power in High Wind Scenarios ...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Zhou, Haoyang Yang, Ming Yu, Yixiao Li, Menglin Wang, Chuanqi Zhang, Yuanhe Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350345094

As the proportion of installed renewable energy in the power system increases, the weather attributes of the new power system become more and more. and the current meteorological changes are becoming more and more complex, with frequent occurrence of cold wave weather, triggering large fluctuations in wind power output. The traditional wind power forecast method is difficult to adapt to the cold wave weather scenario. The large deviation of the forecast brings a great challenge to the wind power consumption. In this paper, we analyze the characteristics of wind power forecast error fluctuation and the mechanism of error generation based on wind power forecast and measured data during cold wave weather. On this basis, we extract the wind power data and numerical weather prediction data under the cold wave weather, and select the strong correlation meteorological factors based on the Pearson correlation coefficient to determine the inputs of the forecast model. Use the generative adversarial network algorithm to expand the samples, so the wind power dataset under the cold wave weather is constructed. Finally, the quantile regression wind power probabilistic forecast model based on the support vector machine is constructed, and an example is set up to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Wind power

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