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control Strategy for Multi-terminal Flexible Interconnected Distribution system Based on VSG-AVDG

Smart Power 2025年第4期53卷 29-37页

作者： Wang, Zhenhao Du, Chenglin Pang, Dan Ge, Jinming Wang, Zhipeng Li, Guoqing Wang, He Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Changchun Power Supply Company Changchun130021 China

To enhance the inertia and damping at the ports of flexible interconnected AC/DC distribution networks under high penetration of renewable energy integration,this study proposes a control strategy for multi-terminal flexible interconnected distribution systems based on virtual synchronous generator and adaptive virtual dc generator(VSG-AVDG). Traditional virtual machine control methods merely combine VSG and virtual DC generator(VDG)controls in a simplistic manner,making it difficult to simultaneously suppress bus voltage fluctuations and improve dynamic performance. To address this limitation,the inherent relationship between virtual machine controls is analyzed,and a fusion mechanism coupling AC-side power deviation with DC-side voltage deviation is established,and a coordinated control strategy based on VSG-AVDG is proposed. On the AC side,an improved VSG control with DC outer-loop voltage compensation is adopted to reduce grid impact caused by mode switching and achieve load balancing. On the DC side,an AVDG control strategy suitable for flexible interconnected systems is designed to suppress bus voltage fluctuations while optimizing dynamic response. MATLAB/Simulink simulations demonstrate the validity and correctness of the proposed control strategy. © 2025 Zhihui Dianli Bianjibu. All rights reserved.

关键词： DC distribution systems

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Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network

Clustering and Equivalent Modeling Method for Direct-Drive W...

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Energy, Power and Electrical Engineering (EPEE), International Conference on

作者： Liang Tu Libin Huang Haiping Guo Binjiang Hu Jingyue Zhang Hui Luo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of ${6 2 \%}$ to ${6 7 \%}$ and reduces the steady-state error in fault current simulation by ${0 . 8 \%}$ to ${1 . 9 \%}$.

关键词： Training Computational modeling Wind speed Current measurement Wind farms Data models Wind turbines Steady-state Transient analysis Particle swarm optimization

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A strategy for avoiding overload of AC line after blocking dc line in AC/DC hybrid grid 15

A strategy for avoiding overload of AC line after blocking d...

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15th International Conference on Developments in Power system Protection, DPSP 2020

作者： Wang, Hao Kang, Xiaoning Dong, Xinzhou Shaanxi Key Laboratory of Smart Grid Xi'an Jiaotong University Xi'an China State Key Laboratory of Control and Simulation Power System and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781713827894

The development of DC transmission technique is prompting the development of AC/DC hybrid grid. As a new form of the grid, AC/DC hybrid grid faces many challenges one of which is the effect of DC blocking on AC lines. This paper analyses the influence of DC blocking on AC lines. Based on the analysis, a control strategy using wide area information is proposed to avoid the severe overload of AC line after blocking a DC line. The proposed strategy increases the transmission power of normally operating DC line aiming to afford part or all of the transmission task of the blocked DC line. The test result obtained from simulation indicates that the proposed strategy can reduce the overload of AC line after blocking a DC line. © 2020 IET Conference Publications.

关键词： Transmissions

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics

The Correlation Mechanism that Micro-Structure Parameters of...

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International Conference on Electrical Materials and Power Equipment (ICEMPE)

作者： Pengfei Meng Jingke Guo Long Zhao Wenhao Lu Zheng Liu Shan Li Kai Zhou Jun Hu College of Electrical Engineering Sichuan University Chengdu China State Grid Linyi power supply company STATE GRID Corporatio of China Linyi China High Voltage Technology Department Extra High Voltage Power Transmission Company of CSG Guangzhou China State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Northwest Institute of Nuclear Technology Xi’an China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters.

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Based on the Scenario Set Generation Technology, the Shared Energy Storage Site Selection and Capacity Determination Problem Considering the Grid Constraints

Based on the Scenario Set Generation Technology, the Shared ...

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Power Science and Technology (ICPST), IEEE International Conference on

作者： Xiaobiao Fu Jinyu Guo Baoju Li Cuiping Li Yao Wang Junhui Li Guanqun Zhang Xingxu Zhu Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Ji Lin China Power Science Research Institute State Grid Jilin Electric Power Co. Ltd Chang Chun China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

This paper addresses the shared energy storage siting and sizing problem, considering grid constraints based on scenario generation techniques. In the context of high penetration of renewable energy, the power system faces practical challenges such as increased uncertainty and scarcity of flexible resources. To tackle these issues, a two-layer optimization model is proposed in this study. It utilizes scenario generation techniques to obtain possible scenarios for renewable energy and load outputs, and incorporates grid constraints for economic dispatch. Through iterative optimization, an optimal shared energy storage siting and sizing solution that meets the requirements of the power grid is obtained. Additionally, the paper discusses the impact on the accommodation capacity of renewable energy and proposes countermeasures in system economic dispatch. However, there are still limitations in uncertainty estimation, energy storage planning, and investment cost calculations in this paper. Furthermore, further enhancement is needed in terms of quantification theories supporting the economic evaluation of shared energy storage siting and sizing. Overall, this research aims to provide an optimization approach for the shared energy storage siting and sizing problem, incorporating scenario generation techniques and grid constraints, to promote stable operation and economic development of power systems with high penetration of renewable energy.

关键词： Renewable energy sources Uncertainty Costs Optimization models Robustness Planning Scenario generation

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Enhanced Daytime Atmospheric Mercury in the Marine Boundary Layer in the South Oceans

SSRN

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SSRN 2023年

作者： Tang, Yi Wu, Qingru Wang, Shuxiao Zhang, Min Zhang, Yanxu Qiao, Fangli State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China First Institute of Oceanography Key Laboratory of Marine Sciences and Numerical Modelling Ministry of Natural Resources Qingdao266061 China Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric Sciences Nanjing University Nanjing210023 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Science Beijing100012 China

Understanding the spatial and temporal variations of atmospheric mercury (Hg) in the marine boundary layer could advances our knowledge on ocean evasion of Hg. Here, we conducted continuous measurement of total gaseous mercury (TGM) in the marine boundary layer along a round-the-world cruise from August 2017 to May 2018, with the maximum and minimum observed in Southern Indian Ocean (1.29±0.22 ng m-3) and Southern Atlantic Ocean (0.61±0.28 ng m-3), respectively. Enhanced TGM was observed during the daytime with the diurnal amplitude difference reaching its maximum in the range of 0.30-0.37 ng m-3 in Southern Indian Ocean and Southern Ocean. The positive correlation between TGM (R2=0.68-0.92) and hourly solar radiation in each ocean suggested the daytime enhanced TGM was probably driven by Hg photoreduction in seawater after excluding the influence of other meteorological factors. The diurnal amplitude of TGM in the marine boundary layer is impacted by the microbial productivity and the ratio of ultraviolet radiation. Our study highlights that ocean acts as a net TGM source during the daytime in the South Hemisphere and aqueous photoreduction process may play an important role in the biogeochemical cycling of Hg. © 2023, The Authors. All rights reserved.

关键词： Atmospheric boundary layer

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Carbon-oriented Local Integrated Energy system Multi-energy Coupling Market Design 5

Carbon-oriented Local Integrated Energy System Multi-energy ...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Li, Jifeng Li, Jinghua He, Xingtang Luo, Hao Dalian Electric Power Supply Company State Grid Liaoning Electric Power Supply Co. Ltd Dalian China Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

ISBN: (纸本)9781665434256

Under the background that countries all over the world constantly advocate energy conservation and emission reduction and seek to deepen the reform of power systems and introduce new energy trading policies, this study constructed a carbon-oriented local integrated energy system multi-energy coupling market architecture. This construct was aimed at problems that current multi-energy coupling market research has not considered, including multi-energy substitution characteristics and carbon emission factors. First, taking the local integrated energy system as the main physical architecture, a multi-energy coupling market architecture was constructed combining the main market participants of different energy subsystems. Second, a model of the subsystem markets in the energy coupling market, and the joint clearing method were proposed. Finally, the guiding role of the energy coupling market was analyzed by simulation for reasonable pricing and carbon emission reductions of different energy market operators. © 2021 IEEE

关键词： Carbon

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Consensus of Multi-Agent systems with Input Constraints Based on Distributed Predictive control Scheme

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Computers, Materials & Continua 2020年第3期62卷 1335-1349页

作者： Yueqi Hou Xiaolong Liang Lyulong He Jiaqiang Zhang Jie Zhu Baoxiang Ren National Key Laboratory of Air Traffic Collision Prevention Air Force Engineering UniversityXi’an710051China Shanxi Province Laboratory of Meta-Synthesis for Electronic and Information System Xi’an710051China Air Traffic Control and Navigation College Air Force Engineering UniversityXi’an710051China

Consensus control of multi-agent systems has attracted compelling attentions from various scientific communities for its promising *** paper presents a discrete-time consensus protocol for a class of multi-agent systems with switching topologies and input constraints based on distributed predictive control *** consensus protocol is not only distributed but also depends on the errors of states between agent and its *** focus mainly on dealing with the input constraints and a distributed model predictive control scheme is developed to achieve stable consensus under the condition that both velocity and acceleration constraints are included *** acceleration constraint is regarded as the changing rate of velocity based on some reasonable assumptions so as to simplify the *** analysis shows that the constrained system steered by the proposed protocol achieves consensus asymptotically if the switching interaction graphs always have a spanning *** examples are also provided to illustrate the validity of the algorithm.

关键词： Multi-agent systems consensus input constraints model predictive control distributed control switching interaction graphs

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Research on Partition Method of Distributed Photovoltaic Cluster Based on Modularity Index and Absorption Ability

Research on Partition Method of Distributed Photovoltaic Clu...

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Smart Grids and Energy systems (SGES), International Conference on

作者： Tao Meng Xiangyu Lv Chenggang Li Dexin Li Yifu Zhang Xiangdong Meng Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Northeast Electric Power University Changchun Jilin China

To achieve large-scale renewable energy, grid friendly coordination and the need to maximize grid-connection and consumption functions, the clustering method has become a forward-looking solution for distribution network planning, construction and dispatching control. In this paper, the modularity index and active power balance index based on electrical distance are taken as the comprehensive classification index. Then genetic algorithm is introduced to divide the distributed PV cluster in the distribution network. Finally, a 10kV distribution system is taken as an example, and the distributed photovoltaic cluster planning is simulated and analyzed, which proves that the distributed photovoltaic cluster division method is effective.

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Improving Surface Performance of Composite Insulators by Multifunctional Nano-Coating

SSRN

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SSRN 2022年

作者： Liu, Shuming Liu, Shuqi Wang, Qian Zuo, Zhou Liang, Xidong Chen, Zhong State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China School of Material Science and Engineering Nanyang Technological University 639798 Singapore

Insulator is an important component of outdoor insulation systems. It works in complex environments and faces a series of problems such as surface contamination, loss of hydrophobicity, accumulation of surface charges, which may eventually lead to flashover. Aiming to solve these problems in a simple and scalable method, we propose a multifunctional nano-coating based on SiO 2 /PDMS/EP. By the combination of multiscale structure and low surface energy modification, this coating shows excellent water-repellency performance, a large contact angle greater than 160° and a small rolling angle near 0° are achieved on coated silicone rubber, which enables the surface with excellent self-cleaning performance. Benefiting from the multiscale roughness, the heat transfer is inhibited by the reduced contact area, which further slows down the icing process on coated silicone rubber. The de-icing force on coated silicone rubber is also smaller than that on pristine silicone rubber. This coating also introduces many shallow traps to the surface, which is beneficial to the fast surface charge dissipation in a short time. Besides, the high water-repelling ability can promote the droplet to roll away under the action of electrical field force, which alleviates the electrical distortion caused by the droplets. As a result, the wet flashover voltage of coated silicone rubber is 60% higher than that of pristine silicone rubber. This multifunctional coating is a facile, scalable, and effective approach to improving the comprehensive surface performance of insulators. © 2022, The Authors. All rights reserved.

关键词： Flashover

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