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检索条件"机构=State Key Laboratory of Operation and Control of Renewable Energy& Storage Systems"

共 606 条记录，以下是481-490 订阅

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Multi-machine equivalent model parameter identification method for double-fed induction generator (DFIG)-based wind power plant based on measurement data

Multi-machine equivalent model parameter identification meth...

引用

6th International Conference on renewable Power Generation

作者： Luo, Kui Shi, Wenhui Qu, Jixian Renewable Energy Research Center State Key Laboratory of Operation and Control of Renewable Energy and Storage System Beijing100192 China

Dynamic equivalent modelling for wind power plant (WPP) has become an important tool to analyse the grid integration characteristics of large-scale WPPs. Owing to the large differences of operational performance between wind turbines, multi-machine equivalent model is more accurate to represent the WPP. In order to determine the generator parameters of multi-machine equivalent model, this study proposed a multi-machine equivalent model parameter identification method for DFIG-based WPP only with data measured at the point of common coupling. On the basis of established clustering model, it is explained how the measurement data are properly processed for use as the input of parameter identification considering the collecting circuit and the estimated instantaneous power of equivalent wind turbine. The developed parameter determination method is tested against a large-scale plant model, and simulation results confirm the effectiveness of the method. © 2017 SAGE Publications Ltd. All rights reserved.

关键词： Wind turbines

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Study on Overseas Electricity Regulatory Environment Assessment Model Based on Combination Weighting

Study on Overseas Electricity Regulatory Environment Assessm...

引用

Chinese control Conference (CCC)

作者： Qi Qu Xin Guo Chunzhang Zhao Yan Li State Grid International Development Company Beijing North China Electric Power University Beijing State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute) Beijing

This paper establishes the evaluation index system of regulatory environment for overseas electricity market and puts forward the method of combination weighting - improved portfolio weighting method based on gray relational analysis. Based on this, a model for assessing the regulatory environment of overseas electricity market has been established. Regulatory environment of four electricity market including Greece, Italy, Sweden and Portugal was assessed. The results show that the combination weighting method proposed in this paper can effectively reduce the heterogeneity of experts' weight judgment and can better highlight the differences between the evaluation results of different countries.

关键词： Indexes Electricity supply industry Investment Portfolios Power grids

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Short-term wind speed forecasting using STLSSVM hybrid model

Short-term wind speed forecasting using STLSSVM hybrid model

引用

International Conference on Power System Technology (POWERCON)

作者： Deyu Yuan Zheng Qian Bo Jing Yan Pei School of Instrumentation Science and Opto-electronics Engineering Beihang University Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (纸本)9781538664629;9781538664612

With the rapid growth of wind power, wind speed forecasting becomes more and more significant to ensure stable and efficient operations of wind power system. This paper proposes an improved hybrid methodology for short-term wind speed forecasting. After data preprocessing, MI algorithm is used to select proper wind speed features, then Ensemble Empirical Mode Decomposition (EEMD) is utilized to decompose the original wind speed series in order to make the chaotic series more stable. A novel model named ST-LSSVM is proposed to forecast the decomposed sub-series, which combines the Least Squares Support Vector Machine (LSSVM) and state Transition method (ST). In order to further enhance the model performance, Particle Swarm Optimization (PSO) is utilized to fine-tune the parameter values of the ST-LSSVM. Finally, real world wind speed data are used to estimate the proposed hybrid forecasting model. The results demonstrate that proposed ST-LSSVM hybrid model has the best prediction accuracy in one to six step's forecasting, compared with Persistence, Autoregressive Integrated Moving Average (ARIMA), Back-Propagation Neutral Network (BPNN) and Least Squares Support Vector Machine (LSSVM) models.

关键词： Wind speed Forecasting Predictive models Data models Time series analysis Support vector machines Prediction algorithms

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Improvement of control Method for Parallel Connected Inverter systems Based on Improved Droop control

Improvement of Control Method for Parallel Connected Inverte...

引用

China International Electrical and energy Conference (CIEEC)

作者： Shouhong Feng Jingru Yang Zixiao Xu Ziyu Chen Qing Li Weilin Li Northwestern Polytechnical University School of Automation Xi’an P.R. China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (纸本)9781538653937

In this paper, the three phase static inverter coordinates were modeling and analysis, the effect of equivalent output impedance on the parallel system is also studied. and designed based on the virtual inductance control strategy. The realization method and design method of the virtual inductance in the DQ two-phase rotating coordinate system are given. The traditional droop control equation has been modified to solve the frequency distortion phenomenon of the traditional droop control equation and the output voltage drop caused by the virtual inductance. The new control equation introduces the dynamic differential term, the power quadratic term and the voltage peak feedback. Through steady and transient analysis of the system, the ideal experimental waveform proves that the improved droop control algorithm has better dynamic performance and current sharing effect.

关键词： Mathematical model Inverters Voltage control Inductors Impedance Inductance Frequency control

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Study on the influence of PV power generation model parameter variation on power system

Study on the influence of PV power generation model paramete...

引用

2017 IEEE Conference on energy Internet and energy System Integration, EI2 2017

作者： Han, Hualing Qu, Linan Zhu, Lingzhi Chen, Ning China Electric Power Research Institute China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research China

ISBN: (纸本)9781538614273

This paper focuses on the influence of PV power plant model and parameters on the calculation of safety and stability of power system. Based on the actual situation of Xinjiang power system in 2016, this paper does research on the influence of PV model parameters on system frequency stability, power angle stability and voltage stability under the condition of PV access in high permeability was studied. © 2017 IEEE.

关键词： Electric power system stability

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Wind power fluctuation characteristics of Three North regions based on clustering algorithm

Wind power fluctuation characteristics of Three North region...

引用

6th International Conference on renewable Power Generation

作者： Yang, Shuo Li, Chi Li, Xiaofei Huang, Yuehui Liu, Chun Wang, Weisheng State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

Limited by some restricted conditions, such as the grid structure and the power source type, the security of the grid and the consumption of the clean energy have faced the challenge from the random and intermittent characteristics of wind power. Firstly, an analyzing method to divide and express different types of wind power fluctuation process is proposed by utilizing the self-organizing map clustering algorithm in this paper. The research framework of wind power fluctuations characteristics considering multiple space and time scales is also proposed. Furthermore, on the basis of the actual operation data of the north, northeast and northwest parts of China (Three North regions for short), and different time characteristics of the wind power fluctuations have been researched from three different spatial scales such as the wind power plant, the provincial grid and the regional grid. From the actual data analysis results, it can be seen that the wind power fluctuations categories can be efficiently identified by the self-organizing map clustering algorithm. The results also show that, the time and spatial scale analysis of wind power fluctuations characteristics can support the quantitative evidences for the scheduling decision of the wind power enrichment regions. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Wind power

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Wind speed optimisation method of numerical prediction for wind farm based on Kalman filter method

Wind speed optimisation method of numerical prediction for w...

引用

6th International Conference on renewable Power Generation

作者： Hua, Shenbing Wang, Shu Jin, Shuanglong Feng, Shuanglei Wang, Bo State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

In recent years, with the rapid increase of wind turbine install, the volatility and randomness of wind speed restrict the development of wind power industry. The uncertainty of wind speed forecast has the mainly impact on wind power prediction. The subject of this manuscript is to study the impact of wind speed prediction on wind power prediction. Firstly, The authors compare the observed wind speed in one wind farm with the forecasted wind speed using the 3 km× 3 kmWeather Research and Forecast (WRF) model. Then the revised is conducted based on Kalman filter theory. In the revised process, the special and temporal impact of observed wind speed on target wind farm is considered and the reasonable predictive factor matrix is built to lower the systematic and random error. The wind speed data at heights of 10, 30, 50, and 70 m are processed using this revised approach, respectively. It turns out that the correlation coefficient between the wind speed forecast and observation has been raised from 0.48 and 0.47 (no revision) to 0.88 and 0.89 (after revision). The RMSE of wind speed has been decreasing from 3.98 and 4.20 to 1.72 and 1.60 m/s. The accuracy of wind speed forecast has been improved. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Wind speed

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Dynamic stability of weak grid connection of large-scale DFIG based on wind turbines

Dynamic stability of weak grid connection of large-scale DFI...

引用

6th International Conference on renewable Power Generation

作者： Tian, Xinshou Tang, Haiyan Li, Yan Chi, Yongning Su, Yuanyuan State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

The proportion of installed wind power capacity in power grid continues to increase, which makes the coupled interaction between wind generators and power grid becomes more severe, then the operation characteristics of power grid during grid disturbance may change, especially in the weak grid. There may be dynamic stability issues in a weak grid connection of large-scale doubly fed induction generator (DFIG)-based wind turbines. To study the operation characteristics and control problem of the power grid formed by the interconnection of the asynchronous power source based on power electronics equipment, a sensitivity analysis method based on interaction is adopted considering the conventional method cannot consider correctly the physical response of electrical components under a quasi-steady-state timescale. Then the interaction stability mechanism between the DFIG-based wind turbine and wind power integration system and its influence factors are deduced. Finally, the influence of power disturbance and short circuit fault on the stability of the large-scale DFIG-based wind turbine integration system is analysed with the simulation results. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Electric power transmission networks

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Demand response measures and its quantitative effects in promoting renewable energy accommodation in high proportional renewable energy scenario

Demand response measures and its quantitative effects in pro...

引用

6th International Conference on renewable Power Generation

作者： Li, Xiaofei Huang, Yuehui Yang, Shuo State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

The rapid growth of renewable energy generation capacity, including wind power and photovoltaic power, brings greater challenges to its accommodation. Based on the renewable energy power output characteristics, this study analyses the calculation method and optimisation model of renewable energy power accommodation ability, and explores two demand response (DR) measures, including transferable load and electric power alternative, and conducts quantitative analysis on their effects in renewable energy power accommodation. Based on the design scenario of the Northwest Power Grid in 2020, the demand-side response measures were adopted to enhance the accommodation of renewable energy. The results show that the effectiveness of the model and the two DR measures can improve the ability of renewable energy accommodation. DR is an important direction in the accommodation of renewable energy based on the current load level. © 2017 Institution of Engineering and Technology. All Rights Reserved.

关键词： Wind power

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Adaptation virtual inertia control strategy of DFIG and assessment of equivalent virtual inertia time constant of connected power system

Adaptation virtual inertia control strategy of DFIG and asse...

引用

6th International Conference on renewable Power Generation

作者： Tian, Xinshou Wang, Weisheng Chi, Yongning Li, Yan Liu, Chao State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China

As the mechanical parts of doubly fed induction generator (DFIG) are decoupled from electrical part, the total equivalent rotary inertia of power system are decreased with growing continuously of wind power penetration, which will bring pressure to frequency stability of system. On the basis of analysing operation and control characteristics of DFIG, the equivalent virtual inertia time constant of DFIG, wind farms based on DFIG, and connected power system was calculated. A virtual inertia control strategy of DFIG using rotor current direct control based on equivalent virtual inertia time constant was proposed. The proposed virtual inertia control strategy of DFIG includes traditional control function module, status assessment module, and additional virtual inertia control module. The time domain simulation was carried out on the basis of theoretical analysis, the simulation results show that the proposed virtual inertia control strategy of DFIG can provide efficacious frequency support to the power grid at all kinds of operating conditions, and the frequency stability of power system with large-scale wind power was improved. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Frequency stability

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