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Research on Multi-Level Collaborative Scheduling Model Based on Distributed power Connected to the New power system

Research on Multi-Level Collaborative Scheduling Model Based...

引用

power Electronics, Computer Applications (ICPECA), IEEE International Conference on

作者： Ji Zhou Zijun Yang Kai Li Lei Xia Huilei Tan Lina Xu State Grid Corporation of China Beijing China State Grid Jiangsu Electric Power Co. Ltd Nanjing Jiangsu Province China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

After the distributed power supply connects to the new power system, the power grid scheduling is affected by voltage flash during the grid scheduling, resulting in an increase in operating costs of the power grid. It is proposed that the high -penetration distribution power supply connects the diversified electric energy dual -layer scheduling method of the new power system. After mastering the current adjustment of the load and credible contribution information of the power grid, this paper builds a multi -purpose power system diversified power dual-layer scheduling model based on multi -target optimization. The upper layer scheduling target of this model is to optimize the quality of diversified electricity. The lower layer scheduling goal is to maximize the economic benefits of the new power system. The minimum value method can be solved to achieve the upper and lower target functions. The system schedules the optimal solution to ensure that under the access to high penetration distributed power supply, to ensure the maximization goal of the economic benefits of the power grid, it reasonably dispatches the displacement of the distributed power supply, and realizes the optimization of the diversified power quality of the new power system. The experimental results show that under the scheduling of this method, the voltage offset of the photovoltaic grid system is reduced by 0.60 MV. The operating cost of the new power system is also effectively controlled. Compared with that before the scheduling, this method is available.

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Analysis on Participation Strategy of Independent Energy Storage Station in Electricity Spot Market

Analysis on Participation Strategy of Independent Energy Sto...

引用

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

作者： Daning You Guoqiang Zhang Shihang Song Hanghang Liu Yanbin Cai Yuanyuan Wang Li Zhang Power Dispatching Control Center State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Dongying Power Supply Company State Grid Shandong Electric Power Company Dongying China

To implement the carbon peaking and carbon neutrality goals, improving market mechanism to maximize the utilization of energy storage is attracting more and more attention. This paper addresses the trading strategy of independent energy storage station participating in both energy market and frequency regulation market. A restrictive coefficient of available capacity of energy storage participating in frequency regulation market is introduced, which characterizes the constraints of the energy storage between the two markets. Consequently, the market optimization model with the restrictive coefficient is constructed. Then, different strategies are set based on the capacity allocation of energy storage in the two markets, and the energy storage station’s role and revenue are analyzed. simulations under different participation strategies are done, the results show that with the increase of renewable energy connected to the grid, taking the energy storage more as an excellent frequency regulation resource is beneficial to renewable energy consumption and system operation.

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Short- Term power Prediction Method for Photovoltaic power Generation Based on Elman Neural Network for Aspen Swarm Optimization

Short- Term Power Prediction Method for Photovoltaic Power G...

引用

Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Xinlei Cai Jinzhou Zhu Jiale Liu Zijie Meng Yuhang Huo Yang Yu Power Dispatching Control Center of Guangdong Power Grid Co. Ltd Guangzhou China State Key Laboratory of New Energy Power System North China Electric Power University Baoding China

The volatility and randomness of photovoltaic (PV) power generation lead to the difficulty of achieving ideal PV power prediction accuracyand improving the prediction accuracy of PV power generation is an effective way to suppress the adverse effects of PV grid connection. In order to improve the prediction accuracy of Elman neural network the weights and thresholds of output-implicit implicit-undertaking and implicit-output of Elman neural network are searched for optimality by using the aspen swarm search algorithm and a short-term power prediction method of PV power generation based on the aspen swarm search algorithm optimized Elman neural network (BSAS-Elman) is proposed. Firstly a model of Elman neural network is built in MATLAB; then the power of a PV plant is predicted under three weather conditions: sunnycloudy and rainy using the PV power data of a PV plant and meteorological data as inputs;finally the prediction results of BSAS-optimized Elman neural network model are compared with the prediction results of Elman neural network and the actual power output data of the PV plant are compared. The results show that the aspen swarm search algorithm can improve the prediction accuracy of the Elman neural network model and realize the effective prediction of PV power short-term prediction

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Accurate Stability Analysis of Modular Multilevel Converters Modeled as Delayed Periodic systems

Accurate Stability Analysis of Modular Multilevel Converters...

引用

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

作者： Xiaofan Jia Hua Ye Lei Gao Kaiyuan Hou Kefei Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Power System Department China Electric Power Research Institute Beijing China Dispatch and Communication Center Northeast Branch State Grid Cooperation of China Shenyang China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

The increasing use of modular multilevel converters (MMCs) raises system stability concerns, such as instability in a wide frequency range. Accurate stability analysis of such systems thus is urgently demanded. In this regard, the small signal modeling of the system can be described by a set of linear time- periodic (LTP) differential equations involving time delays, which requires much more effort. A generalization of the ordinary differential equation (ODE)-based harmonic state space (HSS) framework to delayed differential equations (DDEs), HSS-DDE for short, has been proposed to tackle time delays and periodicity within a unified framework. However, the authors found in practical application that this model produces erroneous results when the time delay involved is not an integer multiple of the period. Therefore, this paper first intensively analyzes the limitations of the HSS-DDE model, and then introduces the time-periodic infinitesimal generator and partial discretization idea to reconstruct an improved model that is not affect by the relationship between time delays and period. Thus, the stability of delayed periodic systems can be readily studied. The results of a numerical example and the grid-connected MMC system verify the accuracy and validity of the proposed model.

关键词： Analytical models Multilevel converters Accuracy Delay effects power system stability Harmonic analysis Stability analysis

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Driving Style Recognition Considering Different Driving Scenes 6

Driving Style Recognition Considering Different Driving Scen...

引用

6th CAA International Conference on Vehicular control and Intelligence, CVCI 2022

作者： Zhang, Lubing Li, Guopeng Song, Yedong Wang, Jialin Chu, Hongqing Chen, Hong Electronic Control Research Institute Weichai Power Co. Ltd. Weifang China Jilin University State Key Laboratory of Automotive Simulation and Control Changchun China School of Automotive Studies Tongji University Shanghai China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

Correctly identifying the surrounding driving scenes and drivers' driving styles plays an essential role in improving driving safety. This paper presents a driving style recognition algorithm considering the differences in driving scenes. The driving data of 38 randomly recruited drivers are collected by a T-box device installed on a truck. The collected data is clustered into five categories according to different velocity and acceleration values, representing five different driving scenes. Some characteristics that can reflect driving styles are calculated in each scene, and they are as the input of SOM+KMeans and the GMM model for driving style recognition. And the classification results of the two methods are compared in each driving scene, which has an average 91.7% recognition consistency rate. Our driving style identification model combines the characteristics of different driving scenes and can reflect the impact of road scenes on driving style. © 2022 IEEE.

关键词： Filtering Roads Clustering algorithms Safety Character recognition Vehicles

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Comprehensive Performance Assessment of Energy Storage Plants Based on Integrated Fuzzy Evaluation Method for Grid Peaking

Comprehensive Performance Assessment of Energy Storage Plant...

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Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Xinlei Cai Binye Ni Naixiao Wang Xiaoping Xiang Yang Yu Power Dispatching Control Center of Guangdong Power Grid Co. Ltd Guangzhou China State Key Laboratory of New Energy Power System North China Electric Power University Baoding China

Energy storage power plant has good static characteristics, can weaken the peak-to-valley difference through low storage and high generation, effectively relieving the peak regulation pressure of the power grid, and has important application value in the new power system. The performance of energy storage power plant in power grid peaking is judged reasonably, so that it has high economic efficiency, clean environmental protection value and safer power grid operation. First, a comprehensive evaluation index system of energy storage is constructed by proposing indicators covering technical, economic, clean and safety aspects for peaking scenarios. Then, the fuzzy integrated evaluation method was used to calculate the above indicators, and the improved coefficient of variation method was used to assign weights to each evaluation indicator during the calculation. Then, the fuzzy comprehensive evaluation method was used to calculate the comprehensive assessment of the energy storage power plants under the peaking scenario, and the assessment level and the assessment score of the energy storage power plants were obtained. Finally, a regional power grid is used as the object for simulation, and the evaluation grade and evaluation score of each performance of the energy storage power plant under peak regulation are obtained to verify the effectiveness of the proposed method.

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A Value Set Approach for Stability Region Determination for Time Delayed power systems with Multiple Uncertain Parameters

A Value Set Approach for Stability Region Determination for ...

引用

China International Electrical and Energy Conference (CIEEC)

作者： Xiubao Shi Hua Ye Lei Gao Kaiyuan Hou Kefei Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Power System Department China Electric Power Research Institute Beijing China Dispatch and Communication Center Northeast Branch State Grid Cooperation of China Shenyang China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

This paper develops a stability region computation method for time delayed power systems based on the value set method. It is designed to accommodate systems with multiple uncertain parameters and time delays. This method serves to analyze the small signal stability margin of power systems and offer guidance for system parameter design. Different from many previous works, this method achieves relatively high efficiency without any conservativeness. First, it processes polynomials with exponentials through polynomial transformations. Second, by continuously subdividing and discriminating the uncertain space, the parameter stability region of the system is obtained. Finally, the effectiveness and accuracy of the proposed method are validated through simulation examples in MATLAB/Simulink.

关键词： Uncertainty Accuracy Delay effects power system stability Approximation algorithms Stability analysis Polynomials

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Carbon Cost Pass-Through Analysis Considering Green Certificate Trading

Carbon Cost Pass-Through Analysis Considering Green Certific...

引用

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

作者： Lei Zhou Guoqiang Zhang Hanghang Liu Yuanyuan Wang Xinyan Su Fenglei Lv Power Dispatching Control Center State Grid Shandong Electric Power Company Jinan China Dongying Power Supply Company State Grid Shandong Electric Power Company Dongying China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

The optimal allocation of resources through the synergy of the electricity market, carbon emission market, and green certificate market is the necessary way for the development of the new power system with a high proportion of renewable energy. The impact of the carbon market on the electricity market is reflected by the carbon cost pass-through analysis. However, the mechanism of the green certificate market on carbon cost pass-through has not received due attention. In view of this situation, based on the establishment of the carbon cost pass-through analysis method, this paper further analyzes the coupling impact of green certificate trading and carbon emission trading. The energy-reserve joint optimization market trading model considering the equivalence relationship between green certificate trading and carbon emission trading was constructed, and the carbon cost pass-through rate was obtained based on weighted market simulation results. The effectiveness of the proposed method is verified by the simulation of a 10-unit system, and the influence of the price of green certificates on the cost pass-through rate is analyzed.

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Research on Economic Dispatch Problem Based on Accelerated Dynamic Adjustment Differential Evolution Algorithm 10

Research on Economic Dispatch Problem Based on Accelerated D...

引用

10th China International Conference on Electricity Distribution, CICED 2022

作者： Li, Anyi Li, Xiaojun Tian, Jiahui Wang, Xinrui Zhang, Rui Qi, Jintao Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute Shijiazhuang China Grid Planning and Research Center State Grid Hebei Economic Research Institute Shijiazhuang China State Grid Hebei Electric Power Research Institute Shijiazhuang China

ISBN: (纸本)9781665452687

In order to save energy, reduce carbon and realize sustainable development, the economic dispatch problem with valve-point effects is studied in this paper. Firstly, summarize the solving methods of economic dispatch problem in the previous literature, and put forward the problems of the current solving methods. Then, an accelerated dynamic adjustment differential evolution algorithm is proposed. By introducing chaotic initialization operation, a nonlinear dynamic adjustment strategy of control parameters is formulated, and an accelerated convergence strategy is proposed to comprehensively improve the performance of the algorithm. Finally, the proposed method is verified by numerical simulation, and compared with other methods in terms of result accuracy and robustness. © 2022 IEEE.

关键词： Numerical methods

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A Dynamic control Strategy for Enhancing the Energy Extracting Capability of Magnetic Field Energy Harvesters in Sensor Nodes of power Equipment

A Dynamic Control Strategy for Enhancing the Energy Extracti...

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IEEE International Conference on power and Energy systems (ICPES)

作者： Yuan Gao Libo Fan Jiabin Huang Rongjie Han Min Sun Power system wide area measurement and control of the Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu China The State Grid Zhejiang Electric Power Company Hangzhou China

ISBN: (数字)9798350391329

ISBN: (纸本)9798350391336

With the widespread application of sensors nodes in power equipment, providing a stable energy supply for these sensors has become a significant challenge. Traditional batterypowered solutions are costly and difficult to install. The development of energy harvesting technology offers a new technical approach to address this challenge. This paper mainly investigates how to enhance the energy harvesting power of Magnetic Field Energy Harvesters (MEH) under conditions where the magnetic field around power equipment is limited. A dynamic control method is proposed to improve the energy harvesting power of MEH. The fundamental idea of dynamic control is to precisely control the MOSFETs in the rectifier, dynamically adjusting the switching times of the energy harvesting interval to be symmetric around the peak current of the primary side, thereby significantly enhancing harvesting efficiency. This method is particularly applicable when the magnetic core enters the soft saturation region, causing the energy harvesting interval to be less than T/2. Experimental results show that under constant voltage load, dynamic control effectively adjusts the energy harvesting interval, maximizing the current extracted during this interval, thereby effectively increasing energy harvesting power. Compared to passive rectification, active rectification under dynamic control increases the energy harvesting power by 76%, and the power factor of active rectification is 1.7 times that of passive rectification. The research findings provide important theoretical support and practical significance for the application of magnetic field energy harvesting technology in sensor nodes.

关键词： MOSFET Magnetic sensors Magnetic cores Switches control systems Timing Energy harvesting Magnetic fields Voltage control Intelligent sensors

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