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检索条件"机构=Education Ministry Key Laboratory of Complex System Intelligent Control and Decision"

共 2259 条记录，以下是41-50 订阅

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GPU-Based N-1 AC Power Flow with an Improved-Convergence Fast Decoupled Method Considering Memory Limitations in Large Power Grids

GPU-Based N-1 AC Power Flow with an Improved-Convergence Fas...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Meng, Xinyuan Yun, Zhihao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350300222

The fast and random variation in large-scale power system operation caused by the integration of renewable energy brings challenges for the accuracy and real-time performance of N-1 security analysis (SSA). To meet the requirements., the N-l AC power flow calculation can be accelerated effectively by taking advantage of the powerful parallel ability of the GPU. The fast decoupled power flow method is suitable for GPU-based N-l AC power flow because of its high computational speed and smaller storage space requirements. To solve the problem that the number of iterations may increase dramatically in some heavy-load scenarios., an improved-convergence fast decoupled method is proposed that does not increase the storage occupation considering the memory limitations of the GPU. The effectiveness of the proposed method is verified on several large-scale test systems. The test results demonstrate that the performance of the method proposed in this paper is satisfactory for the online N-l SSA of large power grids. © 2023 IEEE.

关键词： Graphics processing unit

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Fault Location Algorithm for Series-Compensated Transmission Lines Using Prony Algorithm

Fault Location Algorithm for Series-Compensated Transmission...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Fan, Shuxian Yun, Zhihao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350300222

In order to shorten the electrical distance and improve the transient stability of the system, series compensation devices are often added to long-distance high-voltage transmission lines. When a fault occurs on the line, the protection action is fast, and the fault waveform data window is short. The series compensation capacitor causes the fault waveform to contain attenuated low-frequency oscillation components, which seriously affects the accuracy of extracting the fundamental components of voltage and current after the fault. Since compensation capacitor parameters is often inaccurate, these two factors greatly reduce the accuracy of fault location based on impedance methods. Therefore, this paper proposes a method for extracting voltage and cur-rent fundamental components based on Prony algorithm to suppress the influence of attenuated low-frequency oscillation components. Then, by using the positive and negative sequence voltage-current relationship before and after the fault to construct the location equation, the series compensation parameters and fault distance are sequentially solved, and the fault section is verified to improve the accuracy of fault location. Simulation results show that the proposed method has good practicality and accuracy, and is not affected by fault type, fault section, and fault distance. © 2023 IEEE.

关键词： Electric lines

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Power system Load Restoration Based on Data-Driven Constraints Linearization Method 5

Power System Load Restoration Based on Data-Driven Constrain...

引用

5th International Conference on Power and Energy Technology, ICPET 2023

作者： Lv, Xiaoting Wang, Hongtao Fan, Xuemei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350339673

In recent years, power outages have occurred frequently around the world, and rapid load recovery after power outages can reduce economic losses caused by power outages. In the restoration model, the power flow calculation is a nonlinear equality constraint. The idea based on mathematical optimization is to linearize the power flow equation based on certain assumptions or perform convex relaxation. Such processing may affect the solution accuracy or speed. Therefore, a data-driven constraints linearization method is proposed, using a large amount of simulation data to linearly fit the power flow through the partial least square method. Then, based on the linear constraints, the load restoration problem is established as a mixed integer linear programming (MILP) problem to reduce the difficulty of solving, improve calculation accuracy and provide dispatchers with optimal recovery decisions. Finally, the validity of the method proposed in this paper is verified in IEEE39 node system. © 2023 IEEE.

关键词： data-driven Load recovery partial least squares power flow calculation

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A Bayesian Structural Time Series Approach for Forecasting Photovoltaic Power Generation

A Bayesian Structural Time Series Approach for Forecasting P...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Sun, Chenghao Chu, Xiaodong Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

As a renewable energy source, photovoltaic (PV) power generation is becoming increasingly essential in power systems. Accurate forecasting of PV power output is crucial for effective regulation and control of these systems. This paper explores the applicability of the Bayesian structural time series model for PV power generation forecasting using causal inference techniques. The research examines various factors that influence PV power generation and assesses their causal relationships. The developed forecasting model for PV power generation integrates the Bayesian structural time series approach. The accuracy of the proposed model is validated through case studies, demonstrating the successful incorporation of causal inference in PV power generation prediction. This study lays the foundation for future research on utilizing causal inference to evaluate the impacts of specific system changes. © 2023 IEEE.

关键词： Time series

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An Approach for Configuring Thermal Storage Capacity of Concentrated Solar Power Considering Low-Carbon Economic Dispatch

An Approach for Configuring Thermal Storage Capacity of Conc...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Xu, Nuo Chu, Xiaodong Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

Concentrated Solar Power (CSP) has gradually become an emerging development direction in the clean energy area because of its high energy efficiency, renewable and abundant nature. Thermal storage devices are used to regulate the power generation characteristics of CSP plants, and a rational configuration of thermal storage capacity can effectively reduce the system's carbon footprint. Considering the generation cost of thermal power generators, operation and maintenance cost of CSP plants, and system spinning reserve cost, a low-carbon economic dispatch scheme for power systems including CSP plants that takes carbon trading into account is proposed in this paper. On this basis, a thermal storage capacity allocation method for CSP plants is proposed, taking into account the thermal storage cost and dispatching cost. Additionally, simulation verification is performed on IEEE 30 network, and the findings demonstrate that the designed thermal storage capacity configuration strategy effectively reduces carbon emissions and overall system costs. © 2023 IEEE.

关键词： Carbon footprint

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Short-Term Load Forecastiong Based on Residual Graph Convolutional Neural Network

Short-Term Load Forecastiong Based on Residual Graph Convolu...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Bian, Mengqing Chu, Xiaodong Ye, Hua Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China

ISBN: (纸本)9798350300222

As various industries experiencing post-pandemic economic recovery, power systems face increased challenges. Short-term power load forecasting for regional power grids can assist in anticipating load fluctuations and optimizing power system management planning. This paper tackles the gradient vanishing issue in deep graph convolutional neural networks (GCNs) by incorporating a residual module to create a residual graph convolutional neural network (ResGCN). Data from a regional power grid in the United States is utilized for validation purposes. Experimental results show that the graph convolutional neural network with the residual module generates predictions closer to the actual values, consequently enhancing prediction accuracy and confirming the efficacy of the proposed ResGCN. © 2023 IEEE.

关键词： Convolutional neural networks

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An inrush current identification scheme for converter transformer based on magnetization curve model matching 3

An inrush current identification scheme for converter transf...

引用

3rd International Conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2023

作者： Liu, Shiming Zhang, Chao Zeng, Qiqi Zhao, Wenchen Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510666689

Influenced by the complex environment on the AC/DC hybrid power system, converter transformer is susceptible to inrush current or DC bias interference, resulting in false blocking of differential protection during internal fault. In order to distinguish inrush current and internal fault accurately, this paper proposes an inrush current identification scheme for converter transformers based on the flux-current characteristic model matching method. Firstly, the magnetization curve model is selected to fit the nonlinear magnetization characteristics of the transformer, and a model matching scheme based on voltage comparison is designed. Then the model matching degree index (referred to as matching per unit value M in this paper) is constructed to quantitatively describe the model matching degree, and the inrush current identification criterion based on the model matching degree M is proposed. Finally, the action reliability of the proposed identification criterion is verified by simulation experiments. © 2023 SPIE.

关键词： DC transformers

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Multi-Objective Upgrade Planning Strategy for Harnessing Operational Flexibility of Coal-Fired Power Generators 8

Multi-Objective Upgrade Planning Strategy for Harnessing Ope...

引用

8th Asia Conference on Power and Electrical Engineering, ACPEE 2023

作者： Ren, Zhengxing Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798350345520

The high penetration of renewable energy in power systems leads to significant net load fluctuations. Coal-fired power generators conventionally designed for baseload operations are expected to be flexible with cycling operations. Necessary upgrades received by the power generators to improve their operational flexibility will cause associated costs. An upgrade planning strategy is proposed in this paper for harnessing operational flexibility of coal-fired power generators. First, a multi-objective optimization model of coal-fired power generators is established in which the upgrade cost, operating cost, and the upgraded load following capacity of three stages are comprehensively integrated. Next, an improved multi-objective particle swarm optimization algorithm is used to solve the proposed model. Finally, a multi-criteria decision making method is applied to select the best upgrade plan. The case study results of the IEEE 39-bus system demonstrate the feasibility and effectiveness of the proposed planning strategy. © 2023 IEEE.

关键词： Multiobjective optimization

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Multi-Objective Topology Reconfiguration Strategy for Promoting PV Consumption of Distribution systems

Multi-Objective Topology Reconfiguration Strategy for Promot...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Ren, Zhengxing Chu, Xiaodong Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9798350300222

The use of intermittent new energy sources is an important part of driving the low-carbon transition of the power system. PV (Photovoltaic) grid-connected increases the volatility of the distribution system. As the basis of power system operation, the topology can directly influence the PV generation and flow distribution. To promote PV consumption, the flexibility of the distribution system topology needs to be fully utilized. A topology optimization strategy is proposed in this paper to cope with the increasing penetration of PV in distribution systems. First, a multi-objective topology reconfiguration model considering PV consumption and power quality is established. After that, an improved multi-objective discrete particle swarm optimization algorithm is used to find the optimal solution set. Finally, gray relational analysis is applied to select the optimal reconfiguration plan. The case study results of the IEEE 33-bus system demonstrate that this strategy can effectively promote PV consumption. © 2023 IEEE.

关键词： Topology

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Black Start Scheme of Wind-storage Combined system Based on Virtual Synchronous Generator control 2

Black Start Scheme of Wind-storage Combined System Based on ...

引用

2nd Asia Conference on Electrical, Power and Computer Engineering, EPCE 2023

作者： Wang, Hao Wang, Hongtao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350310818

With a high proportion of wind power generations connected to the grid, wind power generation is expected to be a black-start source. This paper proposed a black start scheme based on virtual synchronous generator (VSG) control for wind-storage combined system. The energy storage inverter was transformed into a VSG with the secondary frequency regulation ability by improved frequency synchronous control (IFSC), and a conventional VSG controller was designed for the rotor side inverter of doubly fed induction generator. And a control mode switching device was designed for the energy storage in order to maintain the grid stability after black start. This paper built the model of wind-storage combined system on the Matlab/Simulink for black start simulation. The simulation results show that the maximum frequency deviation is 68.75% lower than the conventional control when the ancillary machines of wind turbines were restored. What's more, the maximum frequency deviation shall not exceed 0.12%, and the maximum voltage deviation shall not exceed 8% during the black start process and the controllers can realize no-error frequency adjustment. Finally, control mode switching device can smoothly switch IFSC to VSG. Thus, the effectiveness of the proposed black start scheme and controllers are verified. © 2023 IEEE.

关键词： controllers

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