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Load Recovery Optimization with Wind Farms Based on Uncertain Bi-level Programming 6

Load Recovery Optimization with Wind Farms Based on Uncertai...

引用

6th Asia Conference on Power and Electrical Engineering, ACPEE 2021

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)9781728191591

In the process of power system res toration after a large power outage, the power support of wind farms is taken into account that it can speed up the restoration of the system. However, the uncertainty of wind farm output also increases the risk of secondary power outages. To solve this problem, this paper adopts the uncertain bi-level programming theory to establish a load recovery optimization model that takes into account the uncertainties of wind power and load, and the model converts it into load power and wind power forecasting errors for processing. Furthermore, the traditional deterministic power grid safe operation constraint is changed to a chance constraint in the form of confidence. In order to meet the requirements of online rapid decision-making, the normal distribution theory is used to transform the uncertainty model into its definite equivalence model, and CPLEX is used to solve it. Finally, an IEEE39-bus system with wind farms is taken as an example to verify the effectiveness of the proposed method. © 2021 IEEE.

关键词： Recovery

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An Emergency Load Shedding Optimization Algorithm Based on Differential Evolution Driven by Deep Transfer Learning

An Emergency Load Shedding Optimization Algorithm Based on D...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Chang, Yanzhao Gai, Chenhao Li, Changgang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665414395

Emergency load shedding (ELS) optimization by the meta-heuristic algorithm is confronted with a heavy computing burden as time-domain simulation (TDS) is needed to evaluate individuals. In this paper, an ELS optimization algorithm based on differential evolution driven by deep transfer learning is proposed to decrease TDS times. First, an optimization model of ELS is established in a single scenario based on differential evolution. Then, a Deep Belief Network (DBN) model is deployed to evaluate load shedding schemes to speed up the optimization. Moreover, when scenarios are changed, transfer learning is utilized to update the DBN model, avoiding massive samples regeneration by TDS. Finally, the optimal load shedding scheme is rolling updated following scenarios change. A simplified provincial power grid verifies the effectiveness of the proposed algorithm. © 2021 IEEE.

关键词： Optimization

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Phenomenological Modeling and End-Point Trajectory Tracking control of a Flexible Beam with Pneumatic Soft Actuators 6

Phenomenological Modeling and End-Point Trajectory Tracking ...

引用

6th International Conference on intelligent Robotics and control Engineering, IRCE 2023

作者： Sun, Xuefeng Meng, Qingxin Wu, Jundong Zhu, Mingliang School of Automation China University of Geosciences Wuhan Hubei430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan Hubei430074 China

ISBN: (纸本)9798350326338

As the basic construction of flexible mechanical systems, the flexible beam and its control problem have attracted widespread attention in recent years. This paper takes a flexible beam with pneumatic soft actuators (FBPSA) as the research object and studies its phenomenological modeling and end-point trajectory tracking control strategy. Firstly, we develop an experimental platform for the FBPSA and perform tests on it, gathering its input and output data. Using these collected data, we analyzed the motion characteristics of the FBPSA. Subsequently, a phenomenological model is established to describe the motion characteristics of the system, and the parameters of this model are identified through a large amount of the collected experimental data. Then, a combined feedforward-feedback control strategy is proposed to achieve the end-point trajectory tracking control of the system. Finally, three sets of experiments are carried out to verify the accuracy of the established model and the effectiveness and superiority of the control strategy. © 2023 IEEE.

关键词： Trajectories

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Cascading Failures Assessment with High Penetration of DFIG Based Wind Turbines

Cascading Failures Assessment with High Penetration of DFIG ...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Liu, Tianhao Zhu, Yuanzhen Sun, Runjia Liu, Yutian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665414395

An assessment method of cascading failure is proposed to acquire high-risk cascading failures chains under high penetration of renewable energy power system. At first, a dynamic simulation model considering the controller of DFIG is established, and the simplified LVRT model is proposed for the DFIG response model. Then, a risk index is defined for the depth first tree search method used in searching proceeding. Finally, a searching method for cascading failure based on dynamic simulation and power flow is presented, which can simulate the interactive between DFIG and grid failure. The effectiveness of the method proposed to search high-risk cascading failures chains under high penetration of renewable energy is verified by the simulations concerning the modified New England test system. © 2021 IEEE.

关键词： Electric load flow

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Forecast of Power Grid Asset Investment and Production Cost Based on Regression Analysis

Forecast of Power Grid Asset Investment and Production Cost ...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Ma, Yue Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education jinan China

ISBN: (纸本)9781665414395

During the past 13th Five-Year Plan period, China's power grid development has made major achievements that proportion of new energy power generation has continued to increase, and major breakthroughs have been made in power electronic technology and high-voltage direct current transmission. With the continuous applications of new technologies in the power system, transmission and distribution losses are reduced, operation efficiency of power grid is significantly improved in order to adapt to the new changes in the power grid, power grid asset investment (PGAI) and production cost (PC) have also shown a new trend along with the development of the power grid. Predicting the PGAI and PC of modern power grids is of great significance for power grid asset management, development trend forecasting and investment decision-making. A forecast method is proposed for PGAI and PC based on regression analysis in this paper. The case study results of a provincial power grid verify the effectiveness of proposed forecast method. © 2021 IEEE.

关键词： Investments

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Modeling and Parameter Identification of Constant-Speed Centrifugal Chiller Based on Experiments

Modeling and Parameter Identification of Constant-Speed Cent...

引用

2023 International Conference on Power system Technology, PowerCon 2023

作者： Han, Xinchan Zhang, Wen Cheng, Dingyi Zhang, Tingting Liu, Meng Xie, Yuxin Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Research Institute Jinan China JinXianDai Information Industry Co. Ltd. Jinan China

ISBN: (纸本)9798350300222

The expanding penetration of intermittent renewable energy resources is motivating the development of demand response (DR) services for balancing generation and load. Central air conditionings (CACs) are potential candidates due to their thermal energy storage capability. A suitable load model is the foundation for DR services. However, CACs contain multiple control subsystems whose parameters are difficult to obtain because of trade secrets. This paper focuses on the modeling and parameter identification of the constant-speed centrifugal chiller, which accounts for 60-70% of the power of CAC. A thermal-electrical model of a constant-speed centrifugal chiller is established to describe the dynamic operation process. In addition, the critical control parameters and the delay time of control systems are identified based on experimental data for a practical building chiller. The experimental results verified the effectiveness of the proposed model. © 2023 IEEE.

关键词： Air conditioning

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Optimal Generator Start-up Sequence with Active Distribution Networks Considering Recovery Path 4

Optimal Generator Start-up Sequence with Active Distribution...

引用

4th IEEE International Conference on Electronics Technology, ICET 2021

作者： Zhai, Shibo Wang, Hongtao Shan, YueChen Zhang, Xiang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781728176734

The recovery process of power system after blackout can be divided into three stages: generator start-up, grid reconfiguration and load restoration. This paper focuses on generator start-up and proposes a new optimization model of generators start-up sequence (GSS). Recovery path constraints are formed considering line capacitance for avoiding node overvoltage and node importance for facilitating the next two recovery process. The participation of active distribution network is also considered in the model, and various constraints are formed according to characteristics of active distribution network. The GSS problem is transformed into MISOCP model. This paper verifies the effectiveness of recovery path constraints and the advantages of participation of distribution network in GSS problem in T39D33 case. © 2021 IEEE.

关键词： Recovery

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Small-Signal Modeling and Analysis of Delayed Microgrids under Distributed control

Small-Signal Modeling and Analysis of Delayed Microgrids und...

引用

2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Yang, Haoran Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665414395

The distributed secondary control normally relies on the communication network to exchange information, yet non-negligible communication delays are thus introduced at the same time. Under the influence of communication delays, the well-designed distributed secondary controllers will have poor performance or even failed, making it difficult to meet the requirements for safe and stable operation of microgrids. To study the delay-related stability problem, a delay-concerned small-signal dynamic model of a microgrid under distributed control is developed. On the basis of this model, low-frequency eigenvalue spectrums of the microgrid system are calculated and a delay-related stability analysis is performed. Time-domain simulations are presented to verify the effectiveness of the proposed method. © 2021 IEEE.

关键词： Time domain analysis

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A Digital Twin Framework for Transient Stability Assessment Based on Knowledge Distillation

A Digital Twin Framework for Transient Stability Assessment ...

引用

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

作者： Junjie Cui Wenping Qin Zhilong Zhu Ruipeng Lu Penghui Qin Xianzhen Li Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education Shanxi Key Laboratory of Power System Operation and Control College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

In the context of the digital transformation of power systems, various new sensors are capable of acquiring massive real-time data from the power grid, providing an opportunity for the development of digital twins in power systems. This paper proposes a transient stability assessment digital twin framework based on knowledge distillation. Addressing the challenges of high computational resource consumption and model deployment difficulties associated with existing high-precision complex models in transient stability assessment, the knowledge distillation method is introduced for model lightweighting. Simultaneously, the proposed continuous learning online updating strategy enables adaptive online updates for complex operating conditions and structures, enhancing the learning capability for online additions of diverse samples. Using Transformer as the transient stability assessment model, the effectiveness of the proposed approach was validated on the IEEE 39-bus system.

关键词： Training Adaptation models Computational modeling Power system stability Transformers Stability analysis Power grids

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Robust Platoon control of Industrial Heavy-Load Autonomous Vehicles 12

Robust Platoon Control of Industrial Heavy-Load Autonomous V...

引用

12th International Conference on CYBER Technology in Automation, control, and intelligent systems, CYBER 2022

作者： Liu, Zhe Li, Xiang Wang, Hesheng MoE Key Lab of Artificial Intelligence Ai Institute Shanghai Jiao Tong University China School of Mechanical Engineering and Electronic Information China University of Geosciences China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Platoon control of autonomous industrial vehicles contributes to improving the safety and reliability of cargo transportation in complex industrial scenarios, increasing traffic efficiency and saving energy. The platoon control of autonomous heavy-load industrial vehicles is much harder, as the high robustness requirements, low hardware ability and complex un-structural environments. This paper considers the platoon control task from the view-point of practical industrial applications. Firstly, the longitudinal dynamic model of the heavy-load industrial vehicle is transferred into a first-order damping acceleration response model by introducing the low-level feedback linearization control and compensations. Secondly, the synchronization control concept is introduced and a fully distributed control law is presented, which only requires the coupling information of the two nearest neighbors. In particular, in order to ensure the practical applicability, the information processing delays, data samplings and external control disturbances are explicitly modelled and the global stability analysis approach is presented. Finally, we provide real experiments using full-scale industrial heavy-load vehicles to demonstrate our effectiveness and robustness. © 2022 IEEE.

关键词： Accident prevention

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