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HVDC (HVDC), International Conference on

作者： Yan Li Hongzhi Liu Yongning Chi Yiwen Fan Xiangyu Li Fan Cheng Zhibing Wang Chunxia Wei Lijun Xie China Electric Power Research Institute China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing China School of Electrical and Electronic Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728175935

ISBN: (纸本)9781728175942

The adaptability of renewable energy connected to the VSC-HVDC grid will become an important issue affecting grid operation. In particular, the complex interaction between renewable power generation and the power grid brings new challenges to the renewable power generation and VSC-HVDC grid to achieve fault ride-through. Therefore, it is necessary to study the fault ride-through strategies of the VSC-HVDC grid-renewable power generation combined system. According to the operating characteristics and adaptability of renewable energy clusters connected to the VSC-HVDC grid under different faults, this paper proposes technical requirements for high- / low-voltage fault ride-through of renewable power plants that are connected to the grid in island operation, and analyzes key technologies for renewable power generation dealing with AC faults at the sending end of the grid in island integration mode. It is expected to realize joint fault ride-through of renewable energy and VSC-HVDC, thereby increasing the availability of the system, contributing to the safe and stable operation of renewable energy and VSC-HVDC grid, providing technical support for the planning of large-scale renewable energy delivery methods, and effectively guiding the planning and design of renewable energy and VSC-HVDC grid.

关键词： Power conversion renewable energy sources Power system stability Power generation Circuit faults Wind farms Power systems

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Study on Fault control Requirement and Strategy of Large Scale renewable energy VSC-HVDC Integration 3

Study on Fault Control Requirement and Strategy of Large Sca...

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3rd IEEE Conference on energy Internet and energy System Integration, EI2 2019

作者： Li, Yan Chi, Yongning Wang, Zhibing Tang, Haiyan Li, Guanglei Sun, Shuming Cheng, Yan China Electric Power Research Institute China State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China Shandong Electric Power Research Institute State Grid Shandong Electric Power Company Shandong China

ISBN: (纸本)9781728131375

Although domestic and foreign research institutions have obtained some research results in related fields, they have not conducted in-depth research on the interaction between VSC DC grid and renewable energy, and on the fault rid though and coordinated control technology of VSC DC grid and renewable energy joint system. Most studies have focused on the fault ride though of the system in the case of AC power grid short-circuit faults in renewable energy power plants and peer-to-peer VSC DC grid systems. Basically, the impact of VSC DC grid system faults on the grid connection of renewable energy is not considered. Although the above research results can suppress the rise of DC voltage and provide technical support as a joint fault ride though of renewable energy and DC grid, the system can achieve fault ride though. However, various fault ride though methods will inevitably have a certain impact on the renewable energy generators, and even have an impact on the regulations and standards for renewable energy connected to the DC power system. Therefore, from the perspective of the safety protection of renewable energy, it is necessary to consider the fault ride though method when the AC grid fails in the VSC DC transmission mode. The transmission of Zhangbei renewable energy through the VSC grid is a complex system with multiple wind farms and multi-terminal DC. It is necessary to carry out detailed research in different working conditions and sub-modes. This paper provides the study on fault control requirement and strategy of large scale renewable energy connected to VSC DC grid, and tries to explore potential challenge caused by the integration of renewable energy generation into VSC DC grid. © 2019 IEEE.

关键词： Wind power

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Analysis and Inspiration of the National Load all Powered by renewable energy in Portugal

Analysis and Inspiration of the National Load all Powered by...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Yang, Wei Pestana, Rui Esteves, Joao Reis, Francisco Yan, Li Yongning, Chi Xinshou, Tang Haiyan, Tang Centro de Investigação em Energia REN - State Grid S. A Lisbon Portugal China State Key Laboratory of Operation and Control Renewable Energy Storage Systems China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

Since the beginning of the 21st century, under the guidance of relevant environmental protection targets of the EU and relevant Portuguese supporting laws and regulations, the renewable energy has developed rapidly in Portugal, and the Portuguese power generation system has developed steadily towards the carbon-free hybrid power generation system. In recent years, the Portuguese power grid has experienced three times of 100% renewable energy to support the continuous operation of the national power load for several days. It appeared twice in 2016, which was the continuous network load of renewable energy supply for 96 consecutive hours in February 2016. In May 2016, it was 107 hours of continuous renewable energy supply nationwide. The most recent one occurred on March 9, 2018, with 63 hours of continuous energy supply to the Portuguese national load. The successful accommodation of large-scale renewable energy in power systems is a systematic project. It relies on energy planning, national transmission network planning, operation and control technologies, and market mechanisms to support all renewable energy across the country. © 2019 IEEE.

关键词： renewable energy resources

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Multi-channel attention mechanism graph convolutional network considering cumulative effect and temporal causality for day-ahead wind power prediction

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energy 2025年 332卷

作者： Mao Yang Renxian Jiang Bo Wang Guozhong Fang Yunpeng Jia Fulin Fan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100912 China State Grid Corporation of China Northeast Branch Liaoning 100031 China Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company of State Jilin 130021 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Institute for Energy and Environment University of Strathclyde Glasgow G1 1XW UK

Under the current situation where the proportion of wind power generation in the existing energy structure is gradually increasing, accurate short-term power prediction of wind farm cluster (WFC) plays an important auxiliary role in the formulation of regional power generation plans. However, it is difficult to clarify the correlation between wind farms in the power prediction of WFC, which leads to the difficulty of stable and accurate prediction. Therefore, this paper proposes a short-term power prediction method for WFC considering wind power cumulative effect (CE) and temporal causality (TC). Firstly, the two relationships (CE and TC) between wind farms are clarified and used to construct an adjacency matrix separately, then the error characteristics (EC) are used to form an adjacency matrix as well. Secondly, the adjacency matrix information with different attributes is fused by the multi-channel attention mechanism to obtain the wind power prediction results. Finally, the proposed method is applied to three WFCs in China, by which the universality and effectiveness of the method is verified. Compared with the traditional prediction method, its RMSE is reduced by 1.55 %, 1 % and 3.4 % on average.

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Development scales of clean energy power in North Africa in the background of transnational interconnection

Development scales of clean energy power in North Africa in ...

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Power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Liang Zhao Ruoying Yu Zhe Wang Linan Qu Xiangyan Wang State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China Renewable Energy Research Centre China Electric Power Research Institute Beijing China Development Bureau Global Energy Interconnection Development and Cooperation Organization Beijing China

ISBN: (数字)9781728152813

ISBN: (纸本)9781728152820

energy transformation and sustainable development is the strategy of global energy development. The clean energy development is an important way to achieve this goal, especially in North Africa, which is rich in wind and solar resources. In this paper, the distributed characteristic of clean energy resources and electric power industry in North Africa are analyzed. Under the background of transnational interconnection, the capacity scales optimization planning model of clean energy power generation development, including wind, photovoltaic (PV) and concentrating solar power (CSP) based on the objective of minimizing construction cost and electricity curtailment loss is established. Considering independent development of three countries, transnational interconnection within the region and transcontinental interconnection between North Africa and South Europe, optimal capacity scales of three types clean energy power are planned in Morocco, Egypt and Tunisia through time series production simulation method. Meanwhile, three scenarios of high, middle and low utilization hours of transmission channels are chosen to plan under transnational interconnection background. The results show that combined power generation of clean energy with CSP can replace a part of conventional power units to satisfy local load increase demand and transnational interconnection will promote the scale of clean energy development in all countries as well as realizing the complementary benefit of clean energy power in interconnected regions. It is an important way to implement the energy transformation strategy in North Africa in the future.

关键词：

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Capacity Co-Optimization of Thermal and Battery energy storage System in Multi-energy Complementary System

Capacity Co-Optimization of Thermal and Battery Energy Stora...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Li, Pai Huang, Yuehui Qi, Wannian Gan, Jiatian State Key Laboratory of Operation and Control of Renewable Energy Storage Systems China Electric Power Research Institute Beijing China Qinghai Golmud Luneng New Energy Limited Company Xining China State Grid Qinghai Electric Power Company Xining China

ISBN: (纸本)9781728135205

Constructing the multi-energy complementary system with wind power, photovoltaic and concentrating solar power (CSP) as well as battery is an effective way to facilitate renewable energy integration. Coordinately optimization of battery and thermal energy storage capacities in CSP can help to reduce the investment cost and improve the renewable energy utilization. In this paper, a mixed integer linear programming model is formulated and system constraints such as renewable energy curtailment rate and operation constraints of each power plant are considered. The nonlinear thermoelectric conversion of CSP is approximated by the piecewise linearization method. Given the data of annual wind and solar power outputs as inputs, the optimal battery and thermal energy storage capacities which maximizes the equivalent uniform annual profit of system are obtained. Case studies are tested on a demonstration project of multi-energy complementary system in North China with a 300MW wind plant, 300MW photovoltaic solar station, 50MW CSP station and 50MW Li-ion battery. It is verified that the optimal capacities of battery and thermal energy storage are 194MWh and 1280MWht. In case studies, sensitivity of the system profit to battery capacity is also analyzed. The testing results validate the effectiveness of the proposed method. © 2019 IEEE.

关键词： Concentrated solar power

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Research on low/high voltage ride through of PV grid-connected system based on control-hardware-in-the-loop

Research on low/high voltage ride through of PV grid-connect...

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2019 Tsinghua International Doctoral Forum

作者： Li, Shuang Si, Gangquan Qu, Kai He, Guoqing State Key Laboratory of Electrical Insulation and Power Equipment Shaanxi Key Laboratory of Smart Grid School of Electrical Engineering Xi'an Jiaotong University Xi'an Shaanxi Province China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Haidian District Beijing China

ISBN: (纸本)9781839533907

Fault ride-through capability is one of the important grid-connection indexes for large-scale generation of PV power and other renewable energy, which is of great significance for the safe and stable operation of the grid. In order to improve the fault ride-through capability of PV grid-connected inverter, a comprehensive control strategy of LVRT/HVRT of PV grid-connected inverter based on conventional control scheme is proposed in this paper. Meanwhile, the LVRT/HVRT test platform of PV grid-connected inverter was built by using the simulation technology of RT-LAB hardware-in-the-loop. Firstly, based on the eHS (electric hardware solver) technology of RT-LAB real-time simulation software, a set of PV grid-connected inverter semi-physical simulation system was built, mainly including PV simulator, PV inverter, filter circuit, three-phase controlled voltage source, etc. Then, according to the technical specification of PV grid-connected inverter, the fault ride-through control strategy of PV grid-connected inverter under the condition of voltage drop/rise symmetrically is proposed. Finally, the simulation tests of LVRT/HVRT were carried out on the simulation platform with the controller of PV inverter. Simulation results show that the proposed control strategy meets the grid-connected requirements during LVRT/HVRT. In addition, it has good dynamic and static characteristics. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Simulation platform

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Improved Direct Power control of Doubly Fed Induction Generator Without Phase-Locked Loop

Improved Direct Power Control of Doubly Fed Induction Genera...

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Sustainable Power and energy Conference (iSPEC)

作者： Huiwen Kong Jing He Yikai Liu Peng Cheng Jing Ma China Institute of Energy and Transportation Integrated Development North China Electric Power University Changping Direct Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Haidian Direct Beijing China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Direct power control is widely used in renewable power generation, due to the advantages of simple implementation and fast dynamic response. This paper proposes an improved direct power control of doubly fed induction generator (DFIG) without phase-locked loop (PLL), which is implemented in the stationary reference frame. In order to deal with the time-varying voltage matrix-related dynamics of active and reactive powers for a DFIG in the stationary reference frame, the modulated active and reactive voltage are introduced. By this means, the time-varying voltage matrix-related dynamics of DFIG active and reactive powers are changed into a constant coefficient-related equation, thereby resulting in a simpler implementation. Meanwhile, the modulated rotor voltage can be obtained from the modulated active and reactive voltages based on DFIG rotor position. Then, a linear controller can be introduced to achieve the decoupling regulation and fast tracking of active and reactive powers. Finally, the experimental results are provided to confirm the effectiveness and frequency adaptability of the proposed method.

关键词： Reactive power Power control Doubly fed induction generators Rotors Regulation Phase locked loops Voltage control

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Reactive Power Optimization of Power Grid with Photovoltaic Generation Based on Improved Particle Swarm Optimization

Reactive Power Optimization of Power Grid with Photovoltaic ...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Liu, Huibo Huang, Guoying Wang, Chun Liu, Haixuan Wang, Zizhao Xu, Ziwei Shi, Linjun State Grid Jiangsu Electric Power Co. LTD. Nanjing China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Nanjing China College of Energy and Electrical Engineering Hohai University Nanjing China

ISBN: (纸本)9781728135205

Considering economic operation of the distribution network with appropriate investment of reactive power equipment and less power loss of the system, reactive power optimization of distribution network penetrated with photovoltaic power generation is investigated. Taking the total active power loss of the system as the objective function, considering the constraints of active power, reactive power and voltage, a mathematical model for reactive power optimization of distribution network penetrated with photovoltaic power generation is built. Because the inertia weight factor of traditional PSO is a constant value, the contradiction between local search ability and global search ability will be generated. The paper uses an improved PSO to reduce the inertia weight factor at a linear velocity during the iterative process. The IEEE 33 node system is taken as an example for simulation analysis. The simulation results show that the proposed algorithm has better convergence and stability which can achieve better optimization results. © 2019 IEEE.

关键词： Iterative methods

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Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern

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energy 2021年 232卷

作者： Jiaqi Qu Zheng Qian Yan Pei Beihang University Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

Accurate forecasting of photovoltaic power plays a pivotal role in the integration, operation, and scheduling of smart grid systems. Notably, volatility and intermittence of solar energy are the primary constraints influencing the accuracy of photovoltaic power prediction. This work proposes, an attention-based long-term and short-term temporal neural network prediction model (ALSM) assembled using the convolutional neural network (CNN), long short-term memory neural network (LSTM), and attention mechanism under the multiple relevant and target variables prediction pattern (MRTPP). This is geared towards capturing the short-term and long-term temporal modes and achieving the day-ahead hourly photovoltaic power forecasting. The proposed method is verified by the historical data of the photovoltaic system downloaded from the DKASC website. Consequently, the results indicate that the forecasting accuracy using the MRTPP pattern is better than those common input-output prediction patterns. Moreover, the proposed ALSM model under the MRTPP pattern demonstrates more superiority compared to a few PV power forecasting methods including the statistical methods as well as artificial intelligence methods. Subsequently, different important parameters affecting the accuracy of forecasting range of the model are analyzed, and suggestions on memory lengths corresponding to the divergent prediction range are provided.

关键词： Photovoltaic power forecasting Attention based CNN-LSTM neural Network Multiple relevant and target variables prediction pattern Time series forecasting

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