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A data-driven topology identification method for low-voltage distribution network

A data-driven topology identification method for low-voltage...

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power systems and Electrical Technology (PSET), IEEE International Conference on

作者： Shuo Shi Xiaoqing Han Tingjun Li Hao Zhang Hongbo Yan Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Correctly identifying the topology of low-voltage distribution grid is the key to ensure the safe and stable operation of the power system, and it is also the basis for realizing the loss analysis and fault diagnosis of the lines in the station area. Aiming at the situation that the data collected by smart meters may be missing, this paper proposes a data-driven method based on the topology identification of low-voltage distribution grids. The method firstly fills in the missing values and normalizes them according to the voltage time series data collected by smart meters. Second, the K-means clustering algorithm is used to classify and determine the upstream and downstream relationship of each user in a class in the distribution grid based on the magnitude of voltage amplitude. Then the correlation between nodes is calculated using Pearson correlation coefficient to calibrate the correctness of the topology. Finally, the feasibility of the proposed method is verified by simulation analysis of the IEEE33 node arithmetic example.

关键词： Correlation coefficient Fault diagnosis Low voltage Network topology Time series analysis Clustering algorithms Energy measurement Distribution networks Smart meters Topology

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Deep Reinforcement Learning-based Multi-Scenario Multi-Scale Economic Scheduling for Integrated Energy systems

Deep Reinforcement Learning-based Multi-Scenario Multi-Scale...

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Energy systems and Electrical power (ICESEP), International Conference on

作者： Guangxi Li Qingsheng Zhao Xiaoqing Han Tingjun Li Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China

ISBN: (数字)9798350353563

ISBN: (纸本)9798350353570

The integrated energy system (IES) with multi-energy coupling and gradient utilization has become an important means to help realize the goal of “double carbon”. The optimal operation of IES is a nonlinear, nonconvex and complex problem. With the gradual increase of intermittent energy and load uncertainty, traditional scheduling methods are limited to fixed physical models and parameter settings, which make it difficult to quickly and accurately obtain optimal scheduling strategies. In this paper, we propose a distributed proximal policy optimization (DPPO) algorithm to train the IES optimal scheduling model offline and solve the optimization online, which transforms the physical scheduling problem into a reinforcement learning sequential decision-making problem, and adaptively learns the scheduling policy through continuous interaction between the agent and the integrated energy system environment, and the multi-threaded structure enhances the exploration ability of the reinforcement learning agent in the complex environment. Example simulations show that online applications do not need to rely on accurate modeling of the physical model of the IES to achieve fast scheduling decisions in multiple scenarios and scales.

关键词： Economics Adaptation models Uncertainty Biological system modeling Stochastic processes Optimal scheduling Reinforcement learning

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Research on Temperature Correction of Infrared Image based on Multi-emissivity of Substation Equipment

Research on Temperature Correction of Infrared Image based o...

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power systems and Electrical Technology (PSET), IEEE International Conference on

作者： Jialong Dong Sheng Han Xiaoqing Han Wei Guo Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Infrared thermal imaging technology is widely used for the inspection of substation equipment. Emissivity is necessary to calculate the temperature for infrared cameras, which varies with the different parts of substation equipment. Therefore, this paper proposes a multi-emissivity temperature correction method to obtain more accurate surface temperatures of substation equipment. Firstly, the paper explores a local parts recognition model for common substation equipment. Then, it studies the emissivity correction parameters for different parts. Finally, multi-emissivity is applied for temperature correction on various equipment parts in every infrared image. Test shows that the method can reduce temperature error than normal infrared cameras.

关键词： Substations Accuracy Image recognition Infrared imaging Inspection Cameras Insulators Maintenance Surges power transformer insulation

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Detection of False Data Injection Attacks in Smart Grids via Nonlinear Interval Observer: A Review 7

Detection of False Data Injection Attacks in Smart Grids via...

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7th International Conference on Energy Conservation and Efficiency, ICECE 2024

作者： Ali, Kashif Rana, Zuraiz Haseeb, Rashid Niaz, Ashfaq Zahid, Muhammad Liang, Dingkang Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China U.E. T. Lahore Department of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9798350370898

Identify individual False Data Injection (FDI) attacks in different intelligent networks. FDI attacks can circumvent conventional means of identifying corrupt data and interfere with the health assessment process. The rise of FDI attacks has introduced significant security vulnerabilities to smart grids. To address these important issues, A technique for detecting FDI attacks in various SG systems have been proposed. The interval observer is designed to precisely predict the Temporal condition of the internal physical structure based on development of the physical properties of the smart grid system. A detection criterion has been proposed to activate an alert if the remaining interval fails to include zero, considering the inner state boundary and the outer interference boundary. A sensor isolation algorithm based on a logical matrix for assessing attack characteristics is additionally proposed for introducing FDI attacks into sub-areas. Finally, we hope this article complements a series of recent review articles and fosters further research in this rapidly evolving area. And discussed our opinions on remaining challenges and future research directions in this area. © 2024 IEEE.

关键词： Smart power grids

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Study of improved active-clamped phase shift full bridge converter

Study of improved active-clamped phase shift full bridge con...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Xin He Runquan Meng Ruishu Li Shanxi Key Lab of Power System Operation and Control Taiyuan University of Technology Taiyuan China

Aiming at the drawbacks of the conventional phase-shifted full-bridge topology in terms of high voltage stress in the synchronous rectifier switches and high switching loss of the primary-side switch under low load conditions, a phase-shifted full-bridge circuit with improved control of an active clamp circuit is proposed. The converter utilizes the resonance of the switch parasitic capacitance with the primary-side resonant inductor to achieve ZVS (Zero- Voltage-Switch) under light load, and effectively improves the efficiency under heavy load by zeroing the primary-side current in the circulating current stage. In this paper, the topology, operating principle and operating characteristics of the proposed scheme are described in detail, and the feasibility of the scheme is verified by simulation in PLECS platform.

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Stochastic Optimal Configuration of Shared Energy Storage and Wind Farms for Primary Frequency Support Considering Wind Speed Correlations 4

Stochastic Optimal Configuration of Shared Energy Storage an...

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4th Energy Conversion and Economics Annual Forum, ECE Forum 2024

作者： Liu, Jiajie Jia, Yanbing Shi, Junyi Zhang, Guoqiang Li, Changlin Jia, Ying Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education澿 Taiyuan China Shanxi Key Lab. of Power System Operation and Control Taiyuan University of Technology Taiyuan China State Grid Sichuan Electric Power Company Ziyang Power Supply Company Ziyang China

ISBN: (纸本)9781837242627

To address the issue of frequency stability caused by the integration of renewable energy into the grid, the shared energy storage (SES) is coordinated with multiple wind farms (WFs). The scientific PFR reserve capacity configuration of them is essential to balance reliability and cost. Nevertheless, due to the desynchronization of wind resources between WFs and on-site wind turbines (WTs), there are differences in the reserve capacity and allocated SES capacity of different WFs. The traditional unified capacity configuration method easily increases costs. Therefore, this paper proposes a stochastic optimal configuration method considering wind speed (WS) correlations. Firstly, the high-dimensional vine Copula is used and the effects of wake, terrain, and time-delay are considered to portray the WS correlation of multiple WFs and multiple WTs, respectively. Subsequently, the PFR reserve capacity optimal strategy is established to minimize the total cost of the WFs and the SES. In particular, the p-efficient point algorithm based on the Copula function is utilized to solve the chance constraint. The simulation results show that the proposed method reasonably configures each WT's deloading capacity and the SES capacity with consideration of WS correlations and uncertainties, meeting the PFR demand and reducing the reserve cost. © The Institution of Engineering & Technology 2024.

关键词： primary frequency regulation shared energy storage wind farms wind speed correlation

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Regional optimal scheduling of distribution network based on soft open point

Regional optimal scheduling of distribution network based on...

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International Conference on power Electronics and Motion control (IPEMC)

作者： Jiamei Zhang Kai Sun State Key Lab of Power System Operation and Control Tsinghua University Beijing

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

The proliferation of distributed photovoltaics and electric vehicles in distribution network (DN) has led to differentiation of the same region, which may result in voltage exceeding the limits and unbalanced branch flow. At the same time, soft open point (SOP) is replacing traditional interconnect switches with greater flexibility and controllability. This paper proposes a SOP based regional balanced optimization scheduling method for distribution networks. In the optimal model, the distribution network division method is proposed based on the sensitivity analysis and system general controllable capability index. An optimization model is constructed to minimize the operation costs within the region while the voltage is within the safe range based on the active and reactive power control of SOPs. The nonlinear factors are converted into linearized based on piecewise linearization and second-order cone optimization methods. The superiority of the proposed method is proved through comparative case analysis.

关键词： Photovoltaic systems Reactive power control Sensitivity analysis Distribution networks Optimal scheduling Electric vehicles power electronics

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Variable Frequency Phase-Shift Modulation Technique for Single Stage Dual-Active-Bridge AC-DC Converter 11

Variable Frequency Phase-Shift Modulation Technique for Sing...

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11th International Conference on power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Guo, Dongxin Wang, Panbao Ren, Chunguang Guerrero, Josep M. Harbin Institute of Technology School of Electrical Engineering and Automation Harbin China Taiyuan University of Technology Shanxi Key Lab. of Power System Operation and Control Taiyuan China Aalborg University Department of Energy Technology Aalborg Denmark

ISBN: (纸本)9788957083505

This article proposes a variable frequency phase-shift modulation technique for single stage dual-active-bridge (DAB) AC-DC converter. This isolated single-stage single-phase converter consists of a DAB and a full bridge (FB) inverter. The proposed strategy applies a composite control strategy combining frequency modulation and extended phase shift (EPS) method to overcome the drawback of the non-linear power control of traditional phase-shift control scheme, which significantly reduces the complexity of the controller algorithm. Moreover, the synchronous inverter control applied to the back-end FB inverter is designed, which can realize the energy conversions in a single-stage, and a high frequency (HF) filter capacitor can replace the electrolytic capacitor at the output side DC-link. Thus, the safety of system operation improves and the power density of the system increases. Finally, simulation results confirm the validity and practical feasibility of the proposed control strategy. © 2023 The Korean Institute of power Electronics.

关键词： Electrolytic capacitors

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Combination Result of Two MPPT Techniques (Fuzzy Logic and Perturb and Observe Method): Comparison with The Conventional Perturb and Observe Method 5

Combination Result of Two MPPT Techniques (Fuzzy Logic and P...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Djikeussi, Ghislain Li, Xuejin Shanxi Key Lab. of Power System Operation and Control Taiyuan University of Technology Taiyuan China

ISBN: (纸本)9781665434256

Extracting maximum power from a photovoltaic generator, regardless of meteorological conditions, remains a challenge in the field of solar photovoltaics. Therefore, techniques have been developed to find the best operating point of a photovoltaic module. These include the conventional perturbation and observation method and the fuzzy logic technique. In this paper, we present the combination of two MPPT methods, namely the perturbation and observation method and the fuzzy logic method. We aim to show whether the combination of two different MPPT techniques for a solar system is more accurate and efficient in determining the peak power point than the conventional perturbation and observation method alone. © 2021 IEEE

关键词： Solar power generation

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A control Strategy of CLLLC DC Transformers under Unbalanced AC Voltage Conditions in Hybrid Microgrids 5

A Control Strategy of CLLLC DC Transformers under Unbalanced...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Kong, Jiansheng Ren, Chunguang Wei, Xinwei Qin, Yue Guo, Dongxin Zhang, Baifu Wang, Yifan Li, Xuejin Hao, Guanfei Shanxi Key Lab. of Power System Operation and Control Taiyuan Unversity of Technology Taiyuan China

ISBN: (纸本)9781665434256

Under unbalanced AC microgrid voltage conditions in hybrid microgrids, DC microgrid bus will generate double frequency ripple voltage pulsation, which damages the voltage stability. In order to suppress the double-frequency pulsation, a control strategy suitable for CLLLC DC transformers is proposed in this paper. First, an equivalent model is established by first harmonic approximation to describe the fundamental wave of CLLLC DC transformers. On the basis, its voltage gain characteristics and input impedance characteristics can be analyzed. Then, considering the feature of the input voltage pulsation of the DC transformer under unbalanced voltage conditions, the parameters of the DC transformer are optimized according to the design index. Therefore, a control strategy based on the double frequency ripple voltage pulsation feed-forward is proposed and the PR controller is adopted to effectively suppress the DC bus voltage fluctuation when the input voltage is pulsing. Finally, the proposed voltage feedforward control strategy and parameter optimization de-sign are verified by the Matlab/Simulink results. © 2021 IEEE

关键词： DC transformers

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