April 2022 – Sustainable Energy

Listed below are the papers and letters that have been published in the April 2022 issue of the IEEE Transactions on Sustainable Energy with links to their abstracts. The deadline for submitting discussions is 30 June 2022.



X. Kong, X. Zhang, X. Zhang, C. Wang, H. -D. Chiang and P. Li, “Adaptive Dynamic State Estimation of Distribution Network Based on Interacting Multiple Model”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3118030 

M. P. Korukonda, R. Prakash, S. Samanta and L. Behera, “Model Free Adaptive Neural Controller for Standalone Photovoltaic Distributed Generation Systems With Disturbances”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3123184 

Z. Li, L. Wu, Y. Xu and X. Zheng, “Stochastic-Weighted Robust Optimization Based Bilayer Operation of a Multi-Energy Building Microgrid Considering Practical Thermal Loads and Battery Degradation”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3126776 

T. Jin et al., “Improved Ramping and Reserve Modeling of Combined Heat and Power in Integrated Energy Systems for Better Renewable Integration”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3127245 

M. Cai, R. Yang, X. Zhang, Y. Zhang and S. Rahman, “Double-Signal Retail Pricing Scheme for Acquiring Operational Flexibility From Batteries”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3128349 

B. Papari, C. S. Edrington, M. Ghadamyari, M. Ansari, G. Ozkan and B. Chowdhury, “Metrics Analysis Framework of Control and Management System for Resilient Connected Community Microgrids”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3129450 

X. Shi, Y. Xu, Q. Guo and H. Sun, “Optimal Dispatch Based on Aggregated Operation Region of EV Considering Spatio-Temporal Distribution”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3130547 

M. Etezadinejad, B. Asaei, S. Farhangi and A. Anvari-Moghaddam, “An Improved and Fast MPPT Algorithm for PV Systems Under Partially Shaded Conditions”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3130827 

F. Deng, Y. Li, X. Li, W. Yao, X. Zhang and P. Mattavelli, “A Decentralized Impedance Reshaping Strategy for Balanced, Unbalanced and Harmonic Power Sharing in Islanded Resistive Microgrids”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3130983 

L. Yang, Z. Zheng and Z. Zhang, “An Improved Mixture Density Network Via Wasserstein Distance Based Adversarial Learning for Probabilistic Wind Speed Predictions”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3131522 

F. Meng, B. Ding, N. Y. Sergiienko, H. Chen, H. Xu and Y. Li, “Power Set-Point Tracking of a Wave Energy Converter With Multiple Power Take-Off Units in Irregular Waves”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3131574 

G. Ren et al., “Investigating the Complementarity Characteristics of Wind and Solar Power for Load Matching Based on the Typical Load Demand in China”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3131560 

S. Vanti, P. R. Bana, S. D’Arco and M. Amin, “Single-Stage Grid-Connected PV System With Finite Control Set Model Predictive Control and an Improved Maximum Power Point Tracking”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3132057 

Z. Wu, Z. Xu, W. Gu, S. Zhou and X. Yang, “Decentralized Game-Based Robustly Planning Scheme for Distribution Network and Microgrids Considering Bilateral Energy Trading”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3132198 

Y. -K. Wu, Y. -C. Wu, H. -L. Chang and J. -S. Hong, “Using Extreme Wind-Speed Probabilistic Forecasts to Optimize Unit Scheduling Decision”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3132342 

M. Ahmed, L. Meegahapola, A. Vahidnia and M. Datta, “Adaptive Virtual Impedance Controller for Parallel and Radial Microgrids With Varying X/R Ratios”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3133413 

L. Sun and X. Zhao, “Modelling and Analysis of Frequency-Responsive Wind Turbine Involved in Power System Ultra-Low Frequency Oscillation”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3134910 

L. Yang and Z. Zhang, “A Deep Attention Convolutional Recurrent Network Assisted by K-Shape Clustering and Enhanced Memory for Short Term Wind Speed Predictions”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3135278 

C. Zhang, Y. Xu, Y. Wang, Z. Y. Dong and R. Zhang, “Three-Stage Hierarchically-Coordinated Voltage/Var Control Based on PV Inverters Considering Distribution Network Voltage Stability”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3136722 

Y. Liu, Z. Li, W. Wei, J. H. Zheng and H. Zhang, “Data-Driven Dispatchable Regions With Potentially Active Boundaries for Renewable Power Generation: Concept and Construction”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3138125 

H. Khaloie, J. -F. Toubeau, F. Vallée, C. S. Lai and L. L. Lai, “An Innovative Coalitional Trading Model for a Biomass Power Plant Paired With Green Energy Resources”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3138777 

L. Ge, H. Liu, J. Yan, X. Zhu, S. Zhang and Y. Li, “Optimal Integrated Energy System Planning With DG Uncertainty Affine Model and Carbon Emissions Charges”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3139109 

H. P. Corrêa and F. H. T. Vieira, “Cooperative Markov Decision Process for Voltage Control of Grid-Tied Photovoltaic Generators With Reactive Power Support”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3139583 

Y. Deng, Y. Zhang, F. Luo and G. Ranzi, “Many-Objective HEMS Based on Multi-Scale Occupant Satisfaction Modelling and Second-Life BESS Utilization”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3140765 

W. Wang et al., “Supervised Learning for Distribution Secondary Systems Modeling: Improving Solar Interconnection Processes”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3140650 

H. Wen, J. Ma, J. Gu, L. Yuan and Z. Jin, “Sparse Variational Gaussian Process Based Day-Ahead Probabilistic Wind Power Forecasting”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3141549 

S. Zhao, Q. Yang, P. Cheng, R. Deng and J. Xia, “Adaptive Resilient Control for Variable-Speed Wind Turbines Against False Data Injection Attacks”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3141766 

X. Qin, Y. Guo, X. Shen and H. Sun, “Increasing Flexibility of Combined Heat and Power Systems Through Optimal Dispatch With Variable Mass Flow”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3141894 

S. A. R. Naqvi, K. Kar, S. Bhattacharya and V. Chandan, “Peak Power Minimization for Commercial Thermostatically Controlled Loads in Multi-Unit Grid-Interactive Efficient Buildings”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3140655 

M. Sun et al., “Novel Temporary Frequency Support Control Strategy of Wind Turbine Generator Considering Coordination With Synchronous Generator”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3142914 

D. B. Rathnayake, R. Razzaghi and B. Bahrani, “Generalized Virtual Synchronous Generator Control Design for Renewable Power Systems”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3143664 

P. Shinde, I. Kouveliotis-Lysikatos and M. Amelin, “Multistage Stochastic Programming for VPP Trading in Continuous Intraday Electricity Markets”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3144022 

A. M. S. Alonso, L. D. O. Arenas, D. I. Brandao, E. Tedeschi and F. P. Marafao, “Integrated Local and Coordinated Overvoltage Control to Increase Energy Feed-In and Expand DER Participation in Low-Voltage Networks”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3146196 

Y. Du and D. Wu, “Deep Reinforcement Learning From Demonstrations to Assist Service Restoration in Islanded Microgrids”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3148236 

X. Sun, J. Qiu, Y. Tao, Y. Ma and J. Zhao, “A Multi-Mode Data-Driven Volt/Var Control Strategy With Conservation Voltage Reduction in Active Distribution Networks”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3149267 

Z. Zhang, M. Zhou, Z. Wu, S. Liu, Z. Guo and G. Li, “A Frequency Security Constrained Scheduling Approach Considering Wind Farm Providing Frequency Support and Reserve”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3150965 

S. Jain and Y. V. Hote, “Design of Improved Nonlinear Active Disturbance Rejection Controller for Hybrid Microgrid With Communication Delay”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3151834 

Z. Ding, K. Yu, C. Wang and W. -J. Lee, “Transmission Line Overload Risk Assessment Considering Dynamic Line Rating Mechanism in a High-Wind-Penetrated Power System: A Data-Driven Approach”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3151921 

Y. -K. Kim, G. -S. Lee, J. -S. Yoon and S. -I. Moon, “Evaluation for Maximum Allowable Capacity of Renewable Energy Source Considering AC System Strength Measures”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3152349 

R. I. Hamilton, P. N. Papadopoulos, W. Bukhsh and K. Bell, “Identification of Important Locational, Physical and Economic Dimensions in Power System Transient Stability Margin Estimation”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3153843 

Z. Luo, C. Fang, C. Liu and S. Liu, “Method for Cleaning Abnormal Data of Wind Turbine Power Curve Based on Density Clustering and Boundary Extraction”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3138757 



M. Shamsi and P. Cuffe, “Using Binary Prediction Markets as Hedging Instruments: Strategies for Renewable Generators”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3132531 

Special Section Papers


R. J. Bessa et al., “Guest Editorial for the Special Section on Advances in Renewable Energy Forecasting: Predictability, Business Models and Applications in the Power Industry”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3157009 

M. Zou et al., “Bayesian CNN-BiLSTM and Vine-GMCM Based Probabilistic Forecasting of Hour-Ahead Wind Farm Power Outputs”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2022.3148718 

M. Nejati and N. Amjady, “A New Solar Power Prediction Method Based on Feature Clustering and Hybrid-Classification-Regression Forecasting”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3138592 

F. De Caro, J. De Stefani, A. Vaccaro and G. Bontempi, “DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3130949 

J. Simeunovi?, B. Schubnel, P. -J. Alet and R. E. Carrillo, “Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3125200 

L. V. Krannichfeldt, Y. Wang, T. Zufferey and G. Hug, “Online Ensemble Approach for Probabilistic Wind Power Forecasting”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3124228 

J. Dumas, C. Cointe, A. Wehenkel, A. Sutera, X. Fettweis and B. Cornélusse, “A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3117594 

M. Shamsi and P. Cuffe, “Prediction Markets for Probabilistic Forecasting of Renewable Energy Sources”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3112916 

J. Cui, N. Gu and C. Wu, “Blockchain Enabled Data Transmission for Energy Imbalance Market”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3108170 

J. -F. Toubeau, J. Bottieau, Y. Wang and F. Vallée, “Interpretable Probabilistic Forecasting of Imbalances in Renewable-Dominated Electricity Systems”

Link to abstract:  http://dx.doi.org/10.1109/TSTE.2021.3092137