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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Zun Ma Xian Meng Chao Xing Binjiang Hu Yihua Zhu Liang Tu System Analysis and DC Technology Research Institute Electric Power Research Institute of Yunnan Power Grid Co. Ltd Kunming China Power system simulation and control technology department State Key Laboratory of HVDC EPRI CSG Guangzhou China Power system simulation and control technology department National Energy Power Grid Technology R&D Centre Guangzhou China Power system simulation and control technology department CSG Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

To solve slow response speed and poor stability of traditional MPPT algorithms under rapidly changing environmental conditions, a MPPT control strategy combining improved butterfly algorithm and disturbance observation method is proposed. Firstly, the butterfly position in the population is initialized by Tent map, increasing the search space; Secondly, Gaussian mutation strategy is introduced to make the algorithm break out of local extremes; Then, a dynamic probability switching mechanism is adopted to balance the weight relationship between global and local search, improving algorithm optimization efficiency; Finally, in the later stage, disturbance observation method is used to track the maximum power and reduce power oscillation. simulation examples show that the proposed algorithm can find the maximum power point quickly and accurately under both static and dynamic shading conditions, and the power output is more stable.

关键词： Maximum power point trackers Photovoltaic systems Renewable energy sources Heuristic algorithms Switches Aerospace electronics Stability analysis Oscillators Optimization

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Photovoltaic Multi-Peak MPPT Method with Improved Particle Swarm Algorithm

Photovoltaic Multi-Peak MPPT Method with Improved Particle S...

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

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

An MPPT control strategy based on the combination of adaptive nonlinear mutation particle swarm optimization algorithm is proposed. The algorithm uses the tanh function to control the inertia weight, balances the ability of particles to optimize globally and locally, uses the ISRU function to control the learning factor, balances the weight relationship between individual learning and social learning, and improves the convergence speed of the algorithm. The nonlinear Cauchy mutation operation is proposed to expand the scope of optimization; Finally, the perturbation and observation method is used to track locally near the maximum power point to reduce power oscillation. The simulation validates that the photovoltaic MPPT control strategy based on the improved particle swarm algorithm can effectively get the maximum power point under shading conditions and improve the output efficiency of the PV array.

关键词： Maximum power point trackers Photovoltaic systems Electrical engineering Perturbation methods Asia Particle swarm optimization Oscillators

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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2023 International Conference on power system Technology, powerCon 2023

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350300222

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples. © 2023 IEEE.

关键词： Frequency modulation

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Low-Frequency Offshore Wind power Transmission system with Dual-End Grid-Forming control

Low-Frequency Offshore Wind Power Transmission System with D...

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International Conference on Renewable Energy and power Engineering (REPE)

作者： Nan Fu Bao Liu Yunfei Xu Sitong Zhu Kui Wang Yongdong Li State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang China

ISBN: (数字)9798350375558

ISBN: (纸本)9798350375565

The offshore wind power has been gaining increasing attention in recent years. Low-frequency alternating current (LFAC) transmission is emerging as a promising technology with specific advantages for offshore wind power transmission. This paper discusses the structure and control of the offshore wind power transmission system based on LFAC. In order to enhance the support for the power system, grid-forming control can be implemented on both sides of the modular multilevel matrix converter (M3C) used in LFAC. Additionally, the capacitor voltage control of M3C is briefly introduced. Furthermore, power reserve control is utilized to enable wind turbines to participate in primary frequency regulation. Finally, the effectiveness of the designed control system is verified through simulation using PSCAD/EMTDC, further demonstrating the efficacy of the strategy.

关键词： Current control Capacitors Wind power generation Wind farms control systems Wind turbines Voltage control Matrix converters Frequency control Grid forming

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Multi-Objective Hybrid Energy Storage Optimization Configuration Model for Reducing Thermal power Frequency Modulation Loss

Multi-Objective Hybrid Energy Storage Optimization Configura...

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2023 International Conference on power system Technology, powerCon 2023

作者： Li, JunHui Zhao, ZhenZhuo Zhao, ZhiQiang Liu, HaoJun Li, CuiPing Li, Zhi Jia, CaiQi Zhu, XingXu Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China State Grid Hami Power Supply Company Xinjiang Uygur Autonomous Region HaMi Hami839000 China

ISBN: (纸本)9798350300222

The TPU (Thermal power Unit) equipped with HESS (Hybrid Energy Storage system) can effectively increase of FM (Frequency Modulation) performance of the unit and decrease the FM loss of the thermal power unit. The difficulty of rational allocation of ES (Energy Storage) is how to improve the FM performance of TPU and reduce the life cycle cost of ES. Therefore, the paper establishes a multi-objective hybrid energy storage optimization configuration model aimed at reducing the FM loss of thermal power. Firstly, a double-layer control policy of thermal power-hybrid energy storage is proposed. The first layer is the thermal power-hybrid energy storage AGC instruction allocation strategy based on EMD (Empirical Mode Decomposition). The second layer is a hybrid energy storage control strategy with flywheel ES priority action and lithium battery second response. Then, a multi-objective optimal configuration model considering the difference between life cycle cost and benefit and AGC comprehensive evaluation index Kp is established. It uses the multi-objective PSO (Particle Swarm Optimization) algorithm based on TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) to solve the model, which can avoid contingency of traditional multi-objective PSO in determining optimum solution in the Pareto solution set. Finally, based on the simulation analysis of power plant operation data in North China, the results verify the availability and feasibility of the established model. © 2023 IEEE.

关键词： Frequency modulation

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Research on Partition Method of Distributed Photovoltaic Cluster Based on Modularity Index and Absorption Ability 2

Research on Partition Method of Distributed Photovoltaic Clu...

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2nd International Conference on Smart Grids and Energy systems, SGES 2023

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

ISBN: (纸本)9798350371659

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. © 2023 IEEE.

关键词： Genetic algorithms

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A Non-Pilot Protection Scheme for Transmission Lines Connected to Inverter-Interfaced power Source

A Non-Pilot Protection Scheme for Transmission Lines Connect...

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International Conference on Advanced power system Automation and Protection (APAP)

作者： Bo-Liang Jin Xin-Zhou Dong Department of Electrical Engineering State Key Laboratory of Power System and Generation Equipment Tsinghua University Beijing China

The fault characteristics of transmission lines connected to inverter-interfaced power sources such as photovoltaic stations and permanent magnetic synchronous generator are fundamentally different from traditional power grids, and traditional protection methods have adaptability issues. The protection on the system side and the inverter side of the transmission line has inconsistent characteristics of sensitivity, reliability, and speed. When the system side protection operates and controls breaker tripping, the distance protection on the station side then can operate reliably in a longer time. In this regard, this article proposes a non-pilot protection scheme that utilizes low sampling rate single ended electrical quantities. For different types of faults, zero sequence current, negative sequence current, and voltage harmonic components are used as acceleration criteria for distance protection, which can reliably accelerate the local distance protection action after the opposite breaker trips. A photovoltaic station transmission system model is built in PSCAD, and the simulation results verify the effectiveness of the proposed scheme.

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Resilience Assessment of power Transmission systems Under Extreme Ice Disaster 10th

Resilience Assessment of Power Transmission Systems Under Ex...

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10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022

作者： Li, Dexin Wu, Xinyu Gao, Song Zhuang, Guanqun Wang, Changjiang Electric Power Research Institute State Grid Jilin Electric Power Supply Co. Ltd. Changchun130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9789819934034

The occurrence of ice disasters poses a great threat to the normal transmission system operation. To better complete the toughness evaluation of the system under ice disaster, firstly, an attack model considering the instantaneous wind speed and accumulated ice thickness of the line is established. Secondly, combined with the disaster degree of the line and the initial design data, the fault probability of the line is estimated, and the system load reduction model is used to determine the affected degree of the system. Then, a resilience evaluation index focusing on the degree of system damage under extreme ice disasters is proposed. Taking the IEEE-39 bus system as an example, the feasibility of the proposed index is verified, and two elastic improvement measures are adopted to verify the practicability of the index. The simulation results of an example show that this resilience evaluation index can directly reflect the impact of extreme ice disasters on the resilience of the transmission system and can better see the effect of different resilience improvement methods on the resilience of the transmission system. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Disasters

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Short-term power Prediction Based on Improved NWP Data Considering Wind Speed Distribution Inner Wind Farm 6

Short-term Power Prediction Based on Improved NWP Data Consi...

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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Ma, Wei Qiao, Ying Lu, Zongxiang Liang, Zhifeng Li, Jiaming Hao, Yuchen Tsinghua University State Key Laboratory of Control and Simulation Power Systems and Generation Equipments of Electrical Engineering Beijing China State Grid Corporation of China Beijing China State Grid Jiangsu Power Grid Corporation Nanjing China

ISBN: (纸本)9798350347159

The wind farm has only one NWP data point, which cannot accurately reflect the wind resources inside the wind farm. To solve the problem of a poor match between short-term wind power prediction numerical weather forecast and wind farm measured weather. Put forward a kind of based on clustering and temporal characteristics of the modified liters of scale wind power prediction method, first of all, using EOF orthogonal decomposition method to extract the features of each fan, using hierarchical analysis method of the characteristics of the data matrix clustering, and then, each cluster sample selected representative of a fan, using the error transfer characteristic of the NWP data sequence is modified. Finally, The CNN prediction model is used for power prediction, and the weight is determined according to the cluster sample size. A wind farm in northern Hebei, China, is used to verify the effectiveness of the proposed method. © 2022 IEEE.

关键词： Weather forecasting

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