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Categorical Spatial Interpolation of Solar Irradiance for Regional Distributed Photovoltaic power Forecasting

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IEEE Transactions on Sustainable Energy 2025年

作者： Ruan, Chenglong Li, Kangping Li, Zhenghui Huang, Chunyi Wang, Fei Shanghai Jiao Tong University College of Smart Energy Shanghai200240 China Shanghai Jiao Tong University Shanghai Non-Carbon Energy Conversion and Utilization Institute Shanghai200240 China Ministry of Education Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Shanghai200240 China North China Electric Power University Department of Electrical Engineering Baoding071003 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China Hebei Key Laboratory of Distributed Energy Storage and Microgrid North China Electric Power University Baoding071003 China

High-spatial-resolution (HSR) solar irradiance forecast data is important for regional distributed photovoltaic (PV) power forecasting. Distributed PV sites are widely geographically distributed and the cost of obtaining HSR irradiance forecast data with full regional coverage is very high. Improving spatial resolution through interpolation based on limited sparse irradiance forecast reference points is a low-cost and feasible approach. However, existing irradiance spatial interpolation methods would produce large errors under variable weather conditions (e.g., cloudy) with limited reference points, because local abrupt changes in irradiance usually occur under such weather conditions due to cloud movement. This paper proposes a categorical spatial interpolation method to improve the accuracy of distributed PV power forecasting with limited sparse irradiance forecast data. The method first converts satellite-derived shortwave radiation images into binary irradiance maps through adaptive thresholding, then trains a 3D U-net model to predict future irradiance category probabilities for each grid. These probability maps dynamically govern two parallel interpolation processes: one using reference stations in predicted clear-sky regions, another utilizing stations in cloudy zones, with final irradiance values determined by probability-weighted fusion. Case studies on a real dataset verify the effectiveness and superiority of the proposed method. © 2025 IEEE.

关键词： Solar irradiance

Unsupervised Quantitative Assessment of Furnace Combustion Process Based on Flame Images and Att-Scae Model

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SSRN 2023年

作者： Liu, Yizhuo Lv, You Fang, Fang Qiu, Tian Liu, Jizhen Fang, Xinglong School of Control and Computer Engineering North China Electric Power University Changping District Beijing102206 China Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Changping District Beijing102206 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China

Accurate and timely assessment of the flame combustion process in the furnace of coal-fired power plants is crucial for the secure and economic operation of the units. This paper proposes an unsupervised quantitative assessment method based on flame images for assessing the combustion process of a flame to address the problems that most of the current methods are highly dependent on human experience and difficult to classify the state in detail. Attention mechanism is introduced into the stacked convolutional autoencoder (SCAE) feature extraction network to obtain the latent features of the flame images. Principal component analysis (PCA) is used to reduce the dimensionality of the sparse latent feature matrix for obtaining 1D combustion features. The extracted 1D features are smoothed and normalized, and a combustion state index is obtained to reflect the degree of combustion in the furnace. The variance of the combustion state index within a sliding window is used to determine the fluctuation of the flame state as the combustion stability result. The flame images of a 660 MW coal-fired power plant under different combustion conditions and the variables related to the combustion process in the distributed control system (DCS) are captured to verify the effectiveness of the proposed method. The MSE, PNSR, and SSIM of the flame images reconstructed by the feature extraction network and the original images are 1.082×10-4，39.97dB and 0.9854, with higher accuracy compared to other autoencoder (AE) networks. 12 of the 14 absolute values of the correlation coefficients between the variables related to the combustion process and the extracted combustion state index exceed 0.7. Results suggested that the proposed method can reflect the combustion process in the furnace, which verifies the validity and reliability. © 2023, The Authors. All rights reserved.

关键词： Principal component analysis

Modeling, Prediction and Risk Management of Distribution system Voltages with Non-Gaussian Probability Distributions

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arXiv

arXiv 2024年

作者： Gao, Yuanhai Xu, Xiaoyuan Yan, Zheng Shahidehpour, Mohammad Yang, Bo Guan, Xinping The Ministry of Education Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong University Shanghai200240 China The Shanghai Non-carbon Energy Conversion Utilization Institute Shanghai200240 China The Galvin Center for Electricity Innovation Illinois Institute of Technology ChicagoIL60616 United States The Department of Automation The Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai200240 China

High renewable energy penetration into power distribution systems causes a substantial risk of exceeding voltage security limits, which needs to be accurately assessed and properly managed. However, the existing methods usually rely on the joint probability models of power generation and loads provided by probabilistic prediction to quantify the voltage risks, where inaccurate prediction results could lead to over or under estimated risks. This paper proposes an uncertain voltage component (UVC) prediction method for assessing and managing voltage risks. First, we define the UVC to evaluate voltage variations caused by the uncertainties associated with power generation and loads. Second, we propose a Gaussian mixture model-based probabilistic UVC prediction method to depict the non-Gaussian distribution of voltage variations. Then, we derive the voltage risk indices, including value-at-risk (VaR) and conditional value-at-risk (CVaR), based on the probabilistic UVC prediction model. Third, we investigate the mechanism of UVC-based voltage risk management and establish the voltage risk management problems, which are reformulated into linear programming or mixed-integer linear programming for convenient solutions. The proposed method is tested on power distribution systems with actual photovoltaic power and load data and compared with those considering probabilistic prediction of nodal power injections. Numerical results show that the proposed method is computationally efficient in assessing voltage risks and outperforms existing methods in managing voltage risks. The deviation of voltage risks obtained by the proposed method is only 15% of that by the methods based on probabilistic prediction of nodal power injections. Copyright © 2024, The Authors. All rights reserved.

关键词： Prediction models

A Novel Energy-Type SVG with Grid Forming control for Grid Voltage and Inertial Support

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A Novel Energy-Type SVG with Grid Forming Control for Grid V...

IEEE International Symposium on power Electronics for Distributed Generation systems (PEDG)

作者： Jiawei Zhang Chen Zhang Xianqiang Shi Lei Huang Xiaobing Li Xu Cai Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong Unviersity Shanghai China Power System Analysis Department Sieyuan Electric Co. Ltd Shanghai China R&D Center Sieyuan Electric Co. Ltd Shanghai China

Large scale renewable power plants (e.g., wind farms) are typically equipped with the cascaded H-bridge based Static Var Generator (SVG) for voltage regulation of the Point of Common Coupling (PCC). To enhance its capability in gridfriendly integration and operation of renewable power plants, this paper proposed an energy-type Static-var-generator (ESVG) with grid forming (GFM) control characteristics. First, the energy type SVG's converter typology is presented, then a new type of grid forming control utilizing the distributed energy of SVG's dc capacitor is proposed, having two main characteristics: 1) it achieves autonomous frequency response and grid voltage support similar to the majority of GFM controls; 2) it has the self dc-voltage balancing capability, which does not require additional energy management control. The state-space model is also built to assess the small-signal stability of the ESVG system. Finally, an electromagnetic transient (EMT) simulation model of a typical grid-tied ESVG system is constructed in Matlab/Simulink, and simulation results show that the proposed control methods and associated characteristics are valid.

关键词：

Flexibility Improvement of 1000mw Ultra-Supercritical Unit Under Full Operating Conditions by Error-Based Adrc and Fast Pigeon-Inspired Optimizer

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SSRN 2022年

作者： Hou, Guolian Huang, Ting Huang, Congzhi School of Control and Computer Engineering North China Electric Power University Beijing102206 China Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Beijing102206 China

The operational flexibility of ultra-supercritical (USC) unit must be promoted to adapt a larger-scale renewable energy integrated into the power grid. Under this circumstance, a flexible operation method fusing the error-based ADRC and fast pigeon-inspired optimizer is designed and employed to USC unit. The urgency of the proposed method is illustrated via analyzing the control difficulties of USC unit in the flexibility requirements. Then, the error-based ADRC scheme which can precisely estimate and compensate the unknown uncertainties in real-time is formulated for USC unit. Furthermore, a fast pigeon-inspired optimizer combined with two-stage optimization and biquantum parallel search is used to attain the optimal parameters of error-based ADRC. Smoothness of manipulated variable and ITAE are considered in the multi-criteria optimization function. Finally, the integrated control scheme which effectively blends the features of fast disturbance rejection, distinguished search accuracy and convergence is taken as the flexible operation approach of unit. Simulations of the load tracking under different load tracking rates and disturbance rejection under the coal quality variation are carried out. Abundant comparison results validly proved the flexible operation of USC unit under full operating conditions based on the proposed algorithm. © 2022, The Authors. All rights reserved.

关键词： Errors

An Early Fault Detection Method of the Induced Draft Fan Based on Long-Short Term Memory Network and Double Warning Thresholds

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An Early Fault Detection Method of the Induced Draft Fan Bas...

第34届中国控制与决策会议

作者： Wei Wei You Lv Yizhuo Liu Qing Li Shisen Xu Jun Li School of Control and Computer Engineering North China Electric Power University Key Laboratory of Power Station Energy Transfer Conversion and System North China Electric Power University Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Huaneng Technology Innovation Center Xian Thermal Power Research Institute Company Limited

The induced draft(ID) fan is a significant piece of auxiliary equipment in thermal power *** early detection of possible faults in the ID fan may be used for effective predictive maintenance,thereby reducing the overall maintenance cost and improving the reliability and availability of thermal power *** paper proposed a genetic algorithm and long-short term memory network(GA-LSTM)-based condition monitoring approach using normal operation data of the ID ***,the LSTM network and the sliding window technique were introduced to construct double thresholds,which contains a dynamic threshold and a static *** GA-LSTM-double thresholds method was applied to a coal-fired power plant to achieve early fault detection and *** results demonstrates that the proposed method is capable of detecting minor anomalies in advance.

关键词： Early Fault Detection Long-Short Term Memory(LSTM) Genetic Algorithm(GA)

Direct Aqueous Mineral Carbonation of Carbide Slag in a Bubble Column Reactor Under Ambient Conditions

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SSRN 2023年

作者： Li, Weiling Chen, Genglin Sun, Jian Zhang, Fangfang Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control Engineering Laboratory for Energy System Process Conversion Emission Control Technology of Jiangsu Province School of Energy and Mechanical Engineering Nanjing Normal University Nanjing210023 China School of Electrical and Power Engineering China University of Mining and Technology Xuzhou221116 China

The accelerated carbonation technology utilizing the alkaline minerals or alkaline wastes incurs high operation and investment costs, low conversion efficiency and high energy consumption. Due to the strong alkalinity of the carbide slag, good feedstock availability and great performance of the bubble column reactor, the direct aqueous mineral carbonation of the carbide slag in a bubble column at ambient conditions is evaluated. The impact mechanism of the liquid to solid ratio (5 mL/g - 50 mL/g) and gas velocity (0.0041 m/s - 0.205 m/s) on the reactions are investigated. The flow patterns are identified by EMD energy entropy, and carbonation efficiencies at different flow regimes are compared and illustrated. It is found that this route has a high carbonation efficiency and short reaction time. The maximum carbonation efficiency is 100% and the capture capacity is 214.05 g CO2 / kg carbide slag. The discrete bubble regime (DBR) and bubble coalescence regime (BCR) are observed, and the increase of the L/S ratio can promote the bubble coalescence. The hydrodynamics can influence the processes of the CO2 mass transfer from gas to liquid phase, Ca(OH)2 dissolution, reactant diffusion, collision and ionic reactions. At small L/S ratio, the greater carbonation efficiency is achieved in discrete bubble regime attributing to the longer gas residence time, larger gas-liquid interfacial area and better CO2 mass transfer than that in BCR. At large L/S ratio, the greater carbonation efficiencies are achieved both in DBR and BCR. It has good CO2 mass transfer in DBR and has the strong liquid turbulence intensity in BCR which is good for the reactant diffusion and collision. The enhancement factor increases when enhancing the L/S ratio in DBR. The 30 mL/g and the gas velocity operated in the discrete bubble regime are recommended considering the better three-phase contact, good carbonation conversion and low energy consumption. © 2023, The Authors. All rights reserved.

关键词： Hydrodynamics

Direct Aqueous Mineral Carbonation of Carbide Slag in a Bubble Column Reactor Under Ambient Conditions

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SSRN 2023年

关键词： Hydrodynamics

Bidirectional Converter-Based Hybrid Capacitor for Pulsed power Suppression with 99% High Efficiency

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IEEE Transactions on Industry Applications 2025年

作者： Zhang, Zuoqian Wu, Hongfei Xie, Linwei Yang, Fan Gao, Fei Xing, Yan Nanjing University of Aeronautics and Astronautics Center for More-Electric-Aircraft Power System College of Automation Engineering Nanjing211106 China Nanjing University of Posts and Telecommunications College of Automation Engineering Nanjing210003 China Shanghai Jiao Tong University Department of Electrical Engineering Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai200240 China

The power fluctuations of pulsed power loads cause serious disturbances to the power system. To suppress the pulsed power, bulk passive capacitors are required, leading to significant increase in capacitor volume and weight. Although adopting active capacitor can reduce the capacitance, another high-power power converter with multiple power conversion stages must be used, which degrade the efficiency of the power system dramatically. In this paper, a hybrid capacitor is proposed for pulsed power suppression to overcome drawbacks of both passive and active capacitors. The proposed hybrid capacitor allows a trade-off between volume and efficiency by adjusting the ratio of active to passive capacitors. The active capacitor in this scheme is essentially a bidirectional converter and is connected in series with the passive capacitor. The voltages of the active and passive capacitors fluctuate in reverse with the same amplitude to keep the DC bus voltage constant. The capacitance voltage can fluctuate widely, which can reduce capacitance, size, and volume of capacitors. What's more, as the active capacitor only needs to handle partial pulsed power, its power rating and loss is much lower than conventional active capacitors. The structure derivation, operating principle, design considerations, and control strategy are analyzed in detail. Finally, a 5kW-peak power experimental demonstration is built to verify the effectiveness and feasibility of the proposed method. © 1972-2012 IEEE.

关键词： Energy conversion