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6th International Conference on Renewable power Generation

作者： Wu, Han Li, Yan Lu, Zongxiang Tang, Haiyan State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China North China Electric Power Research Institute Co. Ltd Beijing100045 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Haidian District Beijing100192 China

Wind-photovoltaic-energy storage (ES) hybrid generating system has numerous reactive power sources. It is crucially important for coordinated control of these reactive power sources. According to the test results, there are unbalanced control problem in subsystem voltage of the hybrid generating system. The problem caused reactive power circulation and loop current. A subsystem voltage balance optimisation strategy is proposed to solve the problem. The case study shows the efficiency of the proposed strategies. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Reactive power

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Wind-CHP generation aggregation with storage capability of district heating network

Wind-CHP generation aggregation with storage capability of d...

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2017 IEEE Conference on Energy Internet and Energy system Integration, EI2 2017

作者： Yu, Jing Shen, Xinwei Sheng, Tongtian Sun, Hongbin Xiong, Wen Tang, Lei Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China Guangzhou Power Grid Company Guangzhou China Beijing Qingda Gaoke System Control Company Beijing China

ISBN: (纸本)9781538614273

The strong coupling of electricity and heat of combined heat and power (CHP) unit in cold season results in the loss of flexibility, which may cause massive wind power curtailment if they are in the same system. This issue could be handled with the thermal storage capability of a district heating network (DHN) that could supply flexibility for CHP to decouple the strong coupling of heat and electric power supplies. In this paper, a wind-CHP generation aggregation(WCGA) model is formulated, which motivates CHP to increase wind power integration by increasing total profit of the system, while considering the additional flexibility supplied by DHN. In WCGA model, DHN is formulated as an energy-storage-like (ESL) model that considers the storage capability of DHN based on dynamic characteristics of temperature and time delay effect of DHN. The potential benefits of the proposed model have been demonstrated by case study in terms of enhancing, wind power integration as well as total profit. © 2017 IEEE.

关键词： District heating

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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

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The Journal of Engineering 2017年第13期2017卷 1550-1554页

作者： Kui Luo Wenhui Shi Jixian Qu State Key Laboratory of Operation and Control of Renewable Energy and Storage System Renewable Energy Research Center China Electric Power Research Institute (CEPRI) Beijing 100192 People's Republic of 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.

关键词： wind power plants parameter estimation power grids asynchronous generators wind turbines power generation control multimachine equivalent model parameter identification method wind power plant measurement data dynamic equivalent modelling WPP established clustering model equivalent wind turbine developed parameter determination method large-scale plant model

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Research on a cloud image forecasting approach for solar power forecasting

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Energy Procedia 2017年 142卷 362-368页

作者： Zhao Zhen Zheng Wang Fei Wang Zengqiang Mi Kangping Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) Baoding 071003 China State Key Laboratory of Operation and Control of Renewable Energy & Storage System (China Electric Power Research Institute) Haidian District Beijing 100192 China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA

Accurate cloud image forecasting is very necessary for sky image based solar power forecasting. To provide a means that can track the cloud deformation process and then forecast the cloud shape and position in a future sky image, a cloud image forecasting approach is proposed in this paper. Firstly, the cloud pixels in sky images are identified using Otsu’s method. Secondly, a mathematical description method of cloud location, shape, and deformation is suggested, so that the key information of cloud and its deformation process can be extracted from original images and then digitized. Thirdly, genetic algorithm (GA) is applied to optimize the cloud deformation process according to digitized historical cloud information. In the end, the cloud shape and position in a future image is forecasted using linear extrapolation. The feasibility and effectiveness of the proposed method are validated by simulation.

关键词： sky image solar power forecasting optimization cloud image forecasting

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A Baseline Load Estimation Approach for Residential Customer based on Load Pattern Clustering

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Energy Procedia 2017年 142卷 2042-2049页

作者： Kangping Li Bo Wang Zheng Wang Fei Wang Zengqiang Mi Zhao Zhen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) Baoding 071003 China State Key Laboratory of Operation and Control of Renewable Energy & Storage System (China Electric Power Research Institute) Haidian District Beijing 100192 China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA

Demand response (DR) is a key technology enabling reliable and flexible power system operation more economically and environment-friendly than conventional manners from supply side. Customer baseline load (CBL) estimation is an important issue in the implementation of DR programs for assessing the performance of DR programs and designing economic compensation mechanisms. The accurate estimation of CBL is critical to the success of DR programs because it involves the interests of multi-stakeholders including utilities and customers. Motivated by the inaccuracy of existing CBL methods, this paper proposes a residential CBL estimation approach based on load pattern (LP) clustering to improve the accuracy of CBL estimation. First, an adaptive density-based spatial clustering of applications with noise (DBSCAN) algorithm is proposed to extract typical load patterns (TLPs) of each individual customer in order to avoid the adverse effects from aggregating many dissimilar LPs together as the real TLP. Second, K-means clustering is utilized to segment residential customers into several different clusters based on the similarity of LPs. Finally, CBLs for DR participants are estimated based on the actual load of non-participants at the same cluster during DR event periods. The proposed methods are compared with some traditional methods on a smart metering dataset from Ireland. The results show that the proposed methods have a better performance on accuracy than averaging and regression methods.

关键词： Demand response Customer baseline load Load pattern clustering

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Evaluation of Prediction Choice in Economic Dispatch with Uncertainty

Evaluation of Prediction Choice in Economic Dispatch with Un...

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2017 International Electrical and Energy Conference (CIEEC 2017)

作者： Fan Zhang Ying Qiao Zongxiang Lu Ningbo Wang Jin Li Kun Ding State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept.of Electrical EngineeringTsinghua University Key Laboratory of Wind Power Integration Operation and Control of Gansu Province Gansu Electric Power Corporation Wind Power Technology Center

The unavoidable wind power forecast error results in the pervasive uncertainty in power system economic *** order to solve optimization problem such as economic dispatch with random variables,the commonest and simplest method is using a deterministic value to replace this random *** kinds of predictions are used such as maximumlikelihood approximation,expectation and *** study analyses the effect of these prediction choices on uncertainty of power system via comparing their statistical *** is shown that when the wind power output is very volatile,the quality of these prediction choices is not ***,a simplified three-unit thermal system and a tenunit system are studied for illustrating the consequence of statistical inconsistency.

关键词： Economic Dispatch expectation maximumlikelihood prediction uncertainty wind power forecast error

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Research on Peak Load Regulation Capacity Planning for Long-term Market

Research on Peak Load Regulation Capacity Planning for Long-...

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2017 International Electrical and Energy Conference (CIEEC 2017)

作者： Jiheng Jiang Ying Qiao Zongxiang Lu Ningbo Wang Jin Li Kun Ding State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept.of Electrical Engineering Tsinghua University Key Laboratory of Wind Power Integration Operation and Control of Gansu Province Gansu Electric Power Corporation Wind Power Technology Center

Insufficient power capacity for peak load regulation has caused loss of wind power accommodation in China.A regulation capacity market is under consideration to encourage more peak regulation service,thus how much the market would be is important for each participant.A new peak-load regulation capacity planning method is proposed for long-term market based on the wind power curtailment evaluation model using probabilistic production *** method is suitable for the situation in the planning stage without the knowledge of detailed sequences of load and renewable power,and includes modeling of two peak load regulation measures,increasing the adjustable capacity and to shift some long-lasting units to on/off cycling units.A typical area in China is studied in the paper to evaluate the actual effects of different measures.

关键词： adjustable capacity capacity planning peak load regulation probabilistic production simulation

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Research on capacity configuration method of concentrated reactive power compensator for wind farm LVRT capability

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The Journal of Engineering 2017年第13期2017卷 2428-2432页

作者： Jing He Qing Li Jing Ma Weibo Zhang Yu Zhao State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing People's Republic of China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of China

In order to fulfil the requirement for low-voltage ride-through (LVRT) capability, the wind farms need to inject the reactive currents during grid fault to support voltage recovery. As the main concentrated reactive power compensator, the static var generators (SVGs) are widely employed in the wind farm for reactive current injection. This study investigates the dynamic reactive currents of the wind turbine based on the field-test data during the grid faults. Then, the scheme that taking wind turbines as main reactive current sources and SVG as compensator is adopted to realise the wind farm LVRT capability. According to this scheme, the capacity configuration method of SVG is developed, which can be used to design SVG capacity to improve the wind farm dynamic reactive current behaviour. Finally, the simulation results are provided to demonstrate the effectiveness and the availability of the proposed method.

关键词： static VAr compensators power system faults power system stability wind power plants power grids wind turbines reactive power control reactive power main concentrated reactive power compensator reactive current injection dynamic reactive currents wind turbine grid fault main reactive current sources wind farm LVRT capability capacity configuration method SVG capacity wind farm dynamic reactive current behaviour low-voltage ride-through capability voltage recovery

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Integrated Train Ground Radio Communication system Based TD-LTE

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Chinese Journal of Electronics 2016年第4期25卷 740-745页

作者： ZHAO Hongli CAO Yuan ZHU Li XU Wei National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University National Mobile Communications Research Lab. Southeast University

In existing metro systems,the train ground radio communication system for different applications are deployed *** and constructing the communication infrastructures repeatedly wastes substantial social resources,and it brings difficulties to maintain all these *** present the communication Quality of service(Qo S) requirement for different train ground radio *** integrated TD-LTE based train ground radio communication system for the metro system(LTE-M) is designed *** order to test the LTEM system performance,an indoor testing environment is set *** channel simulator and programmable attenuators are used to simulate the real metro *** test results show that the designed LTE-M system performance satisfies metro communication requirements.

关键词： Communication based train control(CBTC) Train control LTE-M Performance test

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Cascaded PI controller Tuning for power Plant Superheated Steam Temperature based on Multi-Objective Optimization

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IFAC-PapersOnLine 2017年第1期50卷 3227-3231页

作者： Fu H. Pan L. Xue Y.L. Sun L. Li D.H. Lee K.Y. Wu Z.L. He T. Zheng S. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education Southeast University Nanjing 210096 China State Key Lab of Power System Department of Thermal Engineering Tsinghua University Beijing China Department of Electrical and Computer Engineering Baylor University Waco TX 76798 United States Department of Automation Fuzhou University Fuzhou 350000 China

To improve the superheated steam temperature (SST) control performance, this paper considers the conflicting objectives in SST control, multi-objective optimization (MOO) algorithm is employed in this paper. Firstly, the inner-loop PI controller is optimized by considering the objectives of set-point tracking and disturbance rejection, with and without constraints on robustness level. It is found that robustness constraint is essential in the optimization. Secondly, the regulation performance of the outer-loop PI controller is addressed by optimizing the disturbance rejection and robustness simultaneously. The parameter are determined based on the simulation comparison between the non-dominated solutions. The simulation results demonstrate a promising prospect of promoting the proposed strategy to more industrial practices. © 2017

关键词： Disturbance rejection Pareto optimization power plant control Robustness Superheated steam temperature

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