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检索条件"机构=Key Lab of Power System Intelligent Dispatch and Control"

共 1779 条记录，以下是221-230 订阅

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A Short-Term Forecasting Method for Photovoltaic power Based on Ensemble Adaptive Boosting Random Forests 56

A Short-Term Forecasting Method for Photovoltaic Power Based...

引用

IEEE/IAS 56th Industrial and Commercial power systems Technical Conference

作者： Wang, Guanjie Yang, Ming Yu, Yixiao Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781728171951

Accurate and reliable forecast of Photovoltaic (PV) power is crucial for power system dispatch and control. In this paper, a novel short-term PV generation forecast approach based on ensemble adaptive boosting random forests (EABRF) is proposed. The approach sets the weight distribution for training samples and bootstrap sampling is applied. By this means, different sub-training data sets with weights are generated to train the decision trees. The output of random forests is that the average value of each decision tree. Further, by calculating the error rate and assigning corresponding weight to each random forests, the weighted result of random forests can be obtained. The distinguishing features of the proposed approach are as follows: (a) The approach reduces the risk of overfitting by using the idea of ensemble learning;(b) The proposed approach can plenty mine the information in multidimensional features;(c) It has good generalization and robustness by combining adaptive boosting with random forests. PV power forecasting has been conducted in four PV plants using the proposed approach with the historical PV power and numerical weather prediction (NWP) as the inputs. The results illustrate that the proposed method is effective for forecasting of PV power generation with satisfactory forecast accuracy.

关键词： Adaptive boosting ensemble learning numerical weather prediction photovoltaic power forecast random forests

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Small-Signal Modeling and Analysis of Delayed Microgrids under Distributed control

Small-Signal Modeling and Analysis of Delayed Microgrids und...

引用

2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Yang, Haoran Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665414395

The distributed secondary control normally relies on the communication network to exchange information, yet non-negligible communication delays are thus introduced at the same time. Under the influence of communication delays, the well-designed distributed secondary controllers will have poor performance or even failed, making it difficult to meet the requirements for safe and stable operation of microgrids. To study the delay-related stability problem, a delay-concerned small-signal dynamic model of a microgrid under distributed control is developed. On the basis of this model, low-frequency eigenvalue spectrums of the microgrid system are calculated and a delay-related stability analysis is performed. Time-domain simulations are presented to verify the effectiveness of the proposed method. © 2021 IEEE.

关键词： Time domain analysis

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Disturbance Waveform Detection Technology Based on Probability Density of Remaining Data 5

Disturbance Waveform Detection Technology Based on Probabili...

引用

5th International Conference on power and Renewable Energy, ICPRE 2020

作者： Jiang, Shan Liang, Jiabi Zhu, Ke Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781728190266

With the increasing application of disturbance waveform data, a general disturbance detection technology faced with various transient waveforms has practical significance for simplifying the detection process of specific disturbances and improving the accuracy of the specific disturbance detection. To this end, a detection algorithm for transient disturbance waveforms based on the probability density of remaining data is proposed in this paper. Firstly, the method of obtaining the remaining waveform data and its probability density is presented. Then, the probability distribution law of noise in power waveform data is studied based on the field measured data. Finally, according to the probability density difference of the remaining waveform data in adjacent periods, a transient waveform detection algorithm based on Wasserstein distance between probability densities is established. The threshold is determined by the box plot. A large amount of field measured data verifies the effectiveness of the proposed disturbance detection algorithm. © 2020 IEEE.

关键词： Probability density function

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A control Strategy Based on Deep Reinforcement Learning Under the Combined Wind-Solar Storage system

A Control Strategy Based on Deep Reinforcement Learning Unde...

引用

3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Huang, Shiying Yang, Ming Zhang, Changhang Yun, Jiangyang Gao, Yuan Li, Peng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781728156224

The cooperation of hybrid system composed of wind power, photovoltaic power and energy storage system(ESS) in the power market can effectively help improve the income of renewable generation. The traditional power network scheduling approach usually starts with power prediction and then optimizes the scheduling, which can easily lead to information loss and modeling error. To solve this problem, this paper proposes an energy storage system control strategy based on deep reinforcement learning (DRL) in the scene of the combined wind-solar storage system. Deep Q Network (DQN) algorithm is introduced to realize the coordination of the control of the ESS with the output of wind power and photovoltaic power, so as to maximize the benefits of renewable energy generators in the power market.

关键词： energy storage system photovoltaic power wind power deep reinforcement learning control strategy

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Fault Ranging Method Based on Multisynchrosqueezing Transform for Flexible DC Transmission Lines 7

Fault Ranging Method Based on Multisynchrosqueezing Transfor...

引用

7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

作者： Yu, Chengao Gao, Zhanjun Yang, Tao Liu, Zhao Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510656437

Due to the dispersion effect of the traveling wave, the wave speed has frequency variation characteristics, and the error of the fault ranging method using empirical wave speed is large. To address this problem, this paper proposes a fault ranging method based on Multisynchrosqueezing Transform (MSST) for flexible DC transmission lines, the MSST method is used to perform time-frequency analysis of the fault line mode voltage traveling wave, to obtain the precise time and frequency information of the traveling wave arriving at the measurement points on both sides of the line, and to calculate the distance of the fault point according to the double-end ranging principle by combining the frequency variation characteristic curve of the wave speed. Since MSST squeezes the signal several times, it effectively improves the time-frequency aggregation of the signal, and the time-frequency feature extraction of the traveling wave and the identification of the wave head are more accurate. Finally, the effectiveness of the fault ranging algorithm was verified by the simulation of PSCAD and MATlab. © 2022 SPIE. All rights reserved.

关键词： MATlab

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Optimization of generator starting scheme including multiple DC converter stations 2

Optimization of generator starting scheme including multiple...

引用

2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Lin, Chengqian Wang, Hongtao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538641316

With the energy supply and demand situation and the rapid development of HVDC transmission technologies in China, many multi-infeed HVDC systems (MIDC) have been formed in the East China and Central China, and it is necessary to take more than one HVDC lines into account to speed up the restoration process. Firstly, according to the operation characteristic of HVDC, a stability index is put forward to indicate the influence of converter station starting in MIDC restoration. Secondly, a model for generator starting in MIDC is presented. In this model, the optimization objective is to maximize system efficiency and stability during the restoration period. Constraints such as start-up constraints of DC converter station and conventional units, power flow constraint are also concerned. The fast and elitist nondominated sorting genetic algorithm (NSGA-II) and MTOPSIS method are adapted to solve the optimization problem. The effectiveness of the proposed method is validated by New England system. © 2018 IEEE.

关键词： Electric load flow

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Security Assessment of Interdependent Electricity-Gas Networks

Security Assessment of Interdependent Electricity-Gas Networ...

引用

2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Wei, Tongxin Chu, Xiaodong Liu, Yutian Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728191645

Integrated energy networks are superb energy system configurations. There emerges many types of integrated energy networks, in which interdependent electricity-gas networks are commonly implemented ones. Security assessment the integrated energy network is a vital research topic, which is studied in this paper. First, the models of interdependent electricity-gas networks are shown with the coupling mechanism analyzed. Second, security assessment of the interdependent networks is implemented, in which the loss of load is selected as the indicator weighing security. Third, security assessment on the test electricity-gas networks is conducted. Simulation results demonstrate the effectiveness of the proposed security assessment strategy. © 2020 IEEE.

关键词： Network security

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power system Load Restoration Based on Data-Driven Constraints Linearization Method 5

Power System Load Restoration Based on Data-Driven Constrain...

引用

5th International Conference on power and Energy Technology, ICPET 2023

作者： Lv, Xiaoting Wang, Hongtao Fan, Xuemei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350339673

In recent years, power outages have occurred frequently around the world, and rapid load recovery after power outages can reduce economic losses caused by power outages. In the restoration model, the power flow calculation is a nonlinear equality constraint. The idea based on mathematical optimization is to linearize the power flow equation based on certain assumptions or perform convex relaxation. Such processing may affect the solution accuracy or speed. Therefore, a data-driven constraints linearization method is proposed, using a large amount of simulation data to linearly fit the power flow through the partial least square method. Then, based on the linear constraints, the load restoration problem is established as a mixed integer linear programming (MILP) problem to reduce the difficulty of solving, improve calculation accuracy and provide dispatchers with optimal recovery decisions. Finally, the validity of the method proposed in this paper is verified in IEEE39 node system. © 2023 IEEE.

关键词： data-driven Load recovery partial least squares power flow calculation

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Frequency Domain Stability Analysis and Simulation of New Energy power Generation systems 9

Frequency Domain Stability Analysis and Simulation of New En...

引用

9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Wang, Haobo Wang, Hongtao Xin, Peiqi Song, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350309638

Stability analysis of grid-connected inverters is advanced through impedance analysis in this study, which leads to the development of a comprehensive mathematical model and simulation. control parameters, notably the voltage inner-loop control parameter Kv, the proportional gain Kp of the phase-locked loop (PLL), and the integral gain K1, were meticulously adjusted to assess their effects on subsynchronous oscillations. It was determined that while the proportional gain p and integral gain K1 have a marginal impact on sub-synchronous oscillations, the voltage inner-loop control parameter K1 significantly influences these oscillations. The insights gained from this analysis contribute to a deeper understanding of, and potential solutions for, synchronous oscillation issues. The ability to mitigate such oscillations facilitates the integration of a higher proportion of renewable energy sources, thereby enhancing the stability and reliability of the electrical power system. This enhancement is of critical importance in the pursuit of sustainable energy transitions and the advancement of clean energy sources. © 2024 IEEE.

关键词： Phase locked loops

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An Open Source Simulation Toolkit for Large-Scale Electrical power system Static and Dynamic Studies

An Open Source Simulation Toolkit for Large-Scale Electrical...

引用

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

作者： Li, Changgang Wu, Yue Zhang, Hengxu Liu, Yutian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781728143033

This paper is an overview of Simulation Toolkit of Electrical power systems (STEPS). STEPS is an open-source toolkit designed for the education of power system simulation. STEPS has an independent kernel which is coded in C++ to achieve better computational efficiency. STEPS also provides a python module named stepspy to provide higher-level functions to simplify the operations. power flow solution is implemented and options are included in STEPS to maintain a balance between speed and convergence. Based on the power flow solution, dynamic simulation of large-scale systems with renewable sources is also implemented in STEPS. Abundant additional options are provided to achieve better accuracy and speed. Detailed steps to install STEPS, approaches to use stepspy, and the way to use Python paralleling computing are discussed. Cases are given to show the performance of the power flow options provided in STEPS. Dynamic simulation and efficiency of Python parallel when generating samples for research are also presented in this paper. © 2020 IEEE.

关键词： Python

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