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power and Energy (PandaFPE), Panda Forum on

作者： Jialin Du Sen Zhang Shihua Luo Yiping Yuan Weihao Hu Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China

Currently, a large number of community integrated energy systems operate independently and lack coordination and cooperation with each other. On the whole, the complementary coupling potential between energy production and consumption has not been fully explored, which is not conducive to the efficient utilization of clean energy. To solve the above problem, this paper proposes an optimal scheduling model of community integrated energy system considering integrated demand response and carbon tax. Moreover, based on cooperative game theory, this paper adopts the Sharpley value to achieve fair and reasonable distribution of cooperation profits. The case study results indicate that the energy sharing model proposed in this article can achieve better economic benefits.

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Demand Response Dealing with Adjustable Uncertainty Set of Renewable Energy in Unit Commitment

Demand Response Dealing with Adjustable Uncertainty Set of R...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Zhaohua Hu Meng Xiao Xiangxi Duan Ruiguang Ma Chao Cheng Li Hu Economic Research Institute State Grid Sichuan Chengdu China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control University of Electronic Science and Technology of China Chengdu China

Robust optimization approach (ROA) is conservative in tackling the uncertainty of renewable energy (RE) in unit commitment (UC). To deal with this problem of ROA, adjustable uncertainty set (AUS) is proposed and it is a subset of the maximum uncertainty set of RE. However, there exists operational risk of load shedding and RE curtailment in the scenarios where the generation of RE exceeds the AUS. In this paper, demand response (DR) is scheduled to determine the AUS. It reduces the conservativeness of ROA and meanwhile guarantees there is no operational risk. The safe operation of UC is guaranteed in the AUS and DR is used to compensate the RE’s uncertainty when RE is out of the AUS. Through the introduction of the auxiliary constraints and variables, the original UC problem formulation is transformed to a mixed integer linear programming problem and solved by commercial solvers. The proposed method proves effective in IEEE 6-bus and 118-bus systems. Simulation results show that the proposed method reduces the operational cost of UC, and its effectiveness is improved with more participation of DR.

关键词： Electrical engineering Renewable energy sources Uncertainty Costs Simulation Load shedding Demand response

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A DLL-based Router Scheme for the Process-layer Network in Smart Substations 5

A DLL-based Router Scheme for the Process-layer Network in S...

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5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Guo, Rui Zheng, Ai Huang, Qi Sun, Huabo Chen, Lei Beijing Microelectronics Technology Institute Fpga Department Beijing China Smart Network Innovation Center China United Network Communications Limited Beijing China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control Chengdu China

ISBN: (纸本)9781665485081

With the extensive utilization of Intelligence Electronic Devices (IED), the modern smart substation is regard of a typical Internet of Things (IoT) system. The process-layer network in smart substations, which carries the measurements and control signals, needs to operate reliably in the face of unforeseen failures and external malicious attacks. In this paper: i) a mathematical framework for the process-layer network, attacks, and signals is modeled;ii) fundamental network performance limitations from system-theoretic and graph-theoretic perspectives are characterized;and iii) A DLL-based Router Scheme (DRS) is designed to ensure the network performance for the effective operation of IoT. Finally, we validate our design through a series of cases, and the results show that the designed DRS is effective to smooth the network performance. © 2022 IEEE.

关键词： Internet of things

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An Economic Scheduling Strategy of Photovoltaic Storage Micro-grid Considering Demand Response

An Economic Scheduling Strategy of Photovoltaic Storage Micr...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Rundong Liu Sen Zhang Yincheng Zhao Haojie Ma Luan Chen Weihao Hu Ming Tang Wei Zhan Qingjia Zhou Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China SPIC Sichuan Electric Power Co. LTD Chengdu China SPIC Southwest Energy Research Institute Chengdu China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

To realize the economic optimization dispatch of PSMG (Photovoltaic Storage Micro-grid), considering the stochastic influence of multiple uncertainties, this study formulates a day-ahead optimal dispatching strategy of PSMG with the minimum comprehensive operating cost as the objective function. Firstly, the source-load uncertainty is dealt with by scenario generation using the Monte Carlo method and k-means clustering algorithm. Then the peak shaving ability of the system is enhanced by the introduction of flexible loads, and the scheduling flexibility of the photovoltaic storage system is increased by the integrated demand response increases the scheduling flexibility of the photovoltaic storage system. Finally, simulation results show that the scheduling scheme can prompt the source-load to participate in peak shaving and valley filling at the same time, increase the new energy consumption capacity of the photovoltaic storage micro-grid, and effectively improve the economic and social benefits of the micro-grid.

关键词： Photovoltaic systems Uncertainty Fluctuations Costs Monte Carlo methods Simulation Demand response

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Calculation and Simulation Analysis of Current Carrying Capacity and Thermal Effect of 500kV Tunnel Cable

Calculation and Simulation Analysis of Current Carrying Capa...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Ruipeng Liang Qi Huang Olusola Bamisile Jian Li Zhenyuan Zhang Dongsheng Cai School of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control University of Electronic Science and Technology of China Chengdu China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control University of Electronic Science and Technology of China

The Qinghai-Tibet Plateau contains the most abundant clean energy such as hydropower, wind and solar in the world. However, it is very difficult to add overhead transmission lines on the ground due to the complex geographical environment. The large-capacity tunnel cables which is less affected by the earth surface environment, may play an important role on the energy transmission in such area. Based on the cable thermal circuit model, the electrical-magnetic-thermal multiphysics coupling of the cable is modeled in COMSOL Multiphysics. The parameter changes of the material during the temperature rising process, the influence of different ventilation conditions and different current-carrying capacities on the changes of the cable temperature field are quantitatively analyzed. The results show that the proposed model is valid in certain conditions. The research on the current carrying capacity and thermal effect of tunnel cables is of great significance for the transportation and consumption of large-scale clean energy resources.

关键词： Couplings Surface cleaning Analytical models power cables Transportation Hydroelectric power generation system integration

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Multi-objective Optimization of A CCHP system Model Integrated with P2G for Decarbonization 6

Multi-objective Optimization of A CCHP System Model Integrat...

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

作者： Wei, Pengyu Bamisile, Olusola Cai, Dongsheng Li, Jian Adun, Humphrey Huang, Qi Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control Chengdu China Cyprus International University KKTC Energy Systems Engineering Department Mersin10 Turkey

ISBN: (纸本)9798350347159

To realize the dual carbon policy, the goal of energy saving, and emission reduction, it is important to develop ways to better promote the low carbon economic operation of energy systems. Therefore, this research proposes an optimal operation strategy considering the electric-gas-cooling-heat demand response. Considering the demand response of each participant, an integrated energy system model with photovoltaic, wind energy, and traditional grid as energy supply. Also, electric energy, natural gas, cooling, and heating subsystems with co-production are established. With minimizing the overall system operation cost and optimizing environmental protection, the improved particle swarm optimization algorithm is used to solve the multi-constrained objective optimization problem. Finally, the optimized model is tested. The results from this study show that the energy system under cogeneration can find a balance between economy and environmental friendliness, and provide a reference for the subsequent energy supply configuration. © 2022 IEEE.

关键词： Environmental protection

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A Two-Stage Robust Scheduling Strategy for Multi-Energy Microgrid Considering Multiple Uncertainties

A Two-Stage Robust Scheduling Strategy for Multi-Energy Micr...

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power Energy systems and Applications (ICoPESA), International Conference on

作者： Sen Zhang Weihao Hu Xilin Cao Yincheng Zhao Rundong Liu Haojie Ma Wei Zhan Mingxuan Li Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Management and Economics Beijing Institute of Technology Beijing China SPIC Southwest Energy Research Institute Chengdu China

ISBN: (数字)9798350351668

ISBN: (纸本)9798350351675

To achieve the economic operation of a multi-energy micro grid under multiple uncertain environments, this study introduces a novel two-stage robust scheduling approach, encompassing both day-ahead planning and real-time adjustments. First, the multi-energy micro grid day-ahead economic dispatch model is constructed based on the prediction scenarios, and integrated demand response is considered to increase the flexibility of the system. Afterwards, the strategy is adjusted in the real-time phase, considering the uncertainty of energy production and consumption. The Column-and-Constraint Generation algorithm is employed to resolve the above two-stage issues effectively, and the optimal economic operation strategy of the MEMG is obtained. Finally, a case study demonstrates the economy and robustness of the proposed methodology.

关键词： Uncertainty Costs Energy resolution Production Microgrids Predictive models Prediction algorithms Real-time systems Robustness Planning

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Subsynchronous Oscillation Analysis Using Multisynchrosqueezing Transform and Dissipating Energy Flow Method

Subsynchronous Oscillation Analysis Using Multisynchrosqueez...

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作者： Ma, Yue Huang, Qi Gooi, Hoay Beng Zhang, Zhenyuan Yang, Xiaomei Wang, Yang University of Electronic Science and Technology of China Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering Chengdu611731 China Chengdu University of Technology College of Energy Chengdu610054 China School of Electrical and Electronic Engineering Singapore639798 Singapore Sichuan University College of Electrical Engineering Chengdu610065 China

With a high proportion of new energy and power electronic equipment connected to the modern power system, a new type of subsynchronous oscillation (SSO) is triggered, which affects the safe and stable operation of the system. Accurate analysis and identification of the SSO source becomes the key to studying this problem. This article presents a novel method to analyze SSOs. First, multisynchrosqueezing transform is applied to the signal to get the concentrated time-frequency analysis results. Then, the ridge tracking method is utilized to identify and reconstruct the subsynchronous component signals. The method of dissipating energy flow is applied to locate the source and sink of the SSO in the subsynchronous component signals. The performances of the proposed method are verified using electromagnetic transient simulations in a three-wind farms system and a modified IEEE 10-generator 39-bus New England power system. © 1972-2012 IEEE.

关键词： Phasor measurement units

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A Grid-Forming Converter Voltage control Strategy Against Attack in Renewable Energy Integrated power systems

SSRN

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SSRN 2023年

作者： Yang, Kai Xing, Yankai Zhang, Guangdou Li, Jian An, Haopeng Bamisile, Olusola Huang, Qi Power System Wide-area Measurement and Control Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu611731 China China Chengdu University of Technology China

With the inertia improvement ability, Grid-forming Converter (GFC) can be implemented in large-scale power system to improve instability issues. Although with these advantages, increasing connections of the distributed renewable resource also gives a chance of attack which can be accomplished via supervisory control and data acquisition system by controlling their converters in remote/physical ways. Thus, the objective of this paper is to solve the False Data Injection Attack (FDIA) instability of the GFC renewable integrated system which is barely studied in these years. The mechanism of the adverse effect of attacks on GFC is analyzed by combining its small signal model with the FDIA model. In advance, a novel control strategy considering the power system’s spatial structural features and temporal consistency is proposed to defend against FDIA based on dynamic state estimation. Meanwhile, the adaptive adjustment factor and singular value decomposition are introduced into an improved cubature Kalman filter to deal with the data mutation and matrix error caused by attacks. The simulation on IEEE 30-bus system and full real-time experiment on RT-lab verification test platform are carried out, and the results show that the proposed voltage control strategy has a superior performance to mitigate the impact of FDIA. © 2023, The Authors. All rights reserved.

关键词： Kalman filters

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A Novel All-phase Fast Fourier Transform-based Parameters Identification of High Frequency Oscillations

A Novel All-phase Fast Fourier Transform-based Parameters Id...

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Annual Meeting Industrial and Commercial power systems Technical Conference

作者： Feiyu Sun Dongsheng Cai Zhenyuan Zhang Qi Huang College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Information Engineering Southwest University of Science and Technology Mianyang P.R. China

ISBN: (数字)9798350345308

ISBN: (纸本)9798350345315

Wind and solar energy inverter-based resources (IBRs) has been employed extensively with the aim of carbon neutrality. power systems also make extensive use of power electronic converters, leading to interactions between IBRs and with the grid, causing high frequency oscillation (HFO) problems. It damages equipment and jeopardizes the security of the system. To identify HFO components above 100 Hz, this research use Phasor measurement Unit (PMU) instantaneous value data to determine the HFO associated characteristics. To reduce the influence of spectral leakage and the fence effect, as well as to improve the identification accuracy of the related parameters, this paper adopts the RV self-convolutional window based Discrete Fourier Transform (DFT) and the Hanning double-window based all-phase Fast Fourier Transform (apFFT) hybrid algorithm to identify the HFO modal parameters. We take into account the identification accuracy in complex cases, such as non-nominal frequencies, with noise effects and multiple HFO modes. The simulation results show that the proposed method has high identification bandwidth, accuracy and strong flexibility.

关键词： Accuracy Wind energy Simulation Discrete Fourier transforms Noise Bandwidth Hafnium oxide

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