Evaluation of Hybrid Energy Storage Systems Using Wavelet and Stretched-Thread Methods

This paper presents a methodology to evaluate hybrid energy storage systems in hybrid energy systems. While Wavelet is used to decompose the net load in temporal segments, the stretched-thread method is used to evaluate the influence of energy storage, instead of conventional optimization techniques, conferring a visual approach. Proper selection of energy storage technologies for each time frame, as long as several sizing of different energy storage technologies is evaluated as well. The use of different methods and their application in a hybrid system are the main contributions of this piece.

[1]  Verena Jülch,et al.  Comparison of electricity storage options using levelized cost of storage (LCOS) method , 2016 .

[2]  M. O. Oliveira,et al.  Wavelet Transform Analysis to Applications in Electric Power Systems , 2019, Wavelet Transform and Complexity.

[3]  Sunanda Sinha,et al.  Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems , 2015 .

[4]  Hong Zhang,et al.  Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales , 2018, Applied Sciences.

[5]  Samir Kouro,et al.  Energy Storage Sizing Strategy for Grid-Tied PV Plants under Power Clipping Limitations , 2019, Energies.

[6]  V. Klemeš.  Storage mass‐curve analysis in a systems‐analytic perspective , 1979 .

[7]  Salman Hajiaghasi,et al.  Hybrid energy storage system for microgrids applications: A review , 2019, Journal of Energy Storage.

[8]  Quanyuan Jiang,et al.  Wavelet-Based Capacity Configuration and Coordinated Control of Hybrid Energy Storage System for Smoothing Out Wind Power Fluctuations , 2013, IEEE Transactions on Power Systems.

[9]  F. Silvestro,et al.  Mixed-integer algorithm for optimal dispatch of integrated PV-storage systems , 2019, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[10]  Ashish P. Agalgaonkar,et al.  DFT-based sizing of battery storage devices to determine day-ahead minimum variability injection dispatch with renewable energy resources , 2019, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[11]  Paul Denholm,et al.  Overgeneration from Solar Energy in California - A Field Guide to the Duck Chart , 2015 .

[12]  Wei Guo,et al.  Hierarchical Distributed Coordinated Control Strategy for Hybrid Energy Storage Array System , 2019, IEEE Access.

[13]  Debapriya Das,et al.  Optimal sizing of energy storage system in islanded microgrid using incremental cost approach , 2019, Journal of Energy Storage.

[14]  Song Xing,et al.  Short-term wind speed forecasting using wavelet transformation and AdaBoosting neural networks in Yunnan wind farm , 2017 .

[15]  Lokenath Debnath,et al.  Lecture Notes on Wavelet Transforms , 2017 .

[16]  E. C. Bortoni,et al.  Optimized selection and operation of electrical energy storage systems , 2015, 2015 IEEE Power & Energy Society General Meeting.

[17]  José Luz Silveira,et al.  Robust multi-objective optimization of a renewable based hybrid power system , 2018, Applied Energy.

[18]  Edson da Costa Bortoni,et al.  Boosting DC/AC Ratio of PV Plant for BESS Integration on DC side , 2018, 2018 IEEE Conference on Technologies for Sustainability (SusTech).

[19]  Jonathan Dipl.-Ing. Brix,et al.  Electrical energy storage , 2010 .

[20]  Urban Lundin,et al.  Burden on hydropower units for short-term balancing of renewable power systems , 2018, Nature Communications.

[21]  Juping Gu,et al.  Enhancing Performances on Wind Power Fluctuation Mitigation by Optimizing Operation Schedule of Battery Energy Storage Systems With Considerations of Operation Cost , 2019, IEEE Access.

[22]  Zechun Hu,et al.  Sequence control strategy for hybrid energy storage system for wind smoothing , 2019, IET Generation, Transmission & Distribution.

[23]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[24]  Badrul Chowdhury,et al.  Optimal sizing of Hybrid Energy Storage Systems to mitigate wind power fluctuations , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[25]  Junbo Zhao,et al.  A dynamic wavelet-based robust wind power smoothing approach using hybrid energy storage system , 2020 .

[26]  W. L. Kling,et al.  Wavelet Decomposition for Power Balancing Analysis , 2011, IEEE Transactions on Power Delivery.

[27]  Soon-Ryul Nam,et al.  Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output , 2014 .

[28]  Asheesh K. Singh,et al.  Optimal sizing and operation of battery storage for economic operation of hybrid power system using artificial bee colony algorithm , 2018, International Transactions on Electrical Energy Systems.

[29]  Biyun Chen,et al.  Direct Control Strategy of Real-Time Tracking Power Generation Plan for Wind Power and Battery Energy Storage Combined System , 2019, IEEE Access.

[30]  E. Bortoni,et al.  Accurate Methodology to Obtain Efficiency Mapping of Synchronous Machines , 2020, 2020 IEEE Power & Energy Society General Meeting (PESGM).

[31]  Yin Xu,et al.  Optimal Energy Storage Sizing for Networked Microgrids Considering Reliability and Resilience , 2019, IEEE Access.

[32]  Muhammad Khalid,et al.  Saviztky–Golay Filtering for Solar Power Smoothing and Ramp Rate Reduction Based on Controlled Battery Energy Storage , 2020, IEEE Access.

[33]  V. Klemeš,et al.  One hundred years of applied storage reservoir theory , 1987 .

[34]  Yinghua Jiang,et al.  A unified model to optimize configuration of battery energy storage systems with multiple types of batteries , 2019, Energy.

[35]  Joao P. S. Catalao,et al.  Energy storage systems supporting increased penetration of renewables in islanded systems , 2014 .

[36]  Youbo Liu,et al.  Dynamic wavelet decomposition based multi-objective operation model for HESS enabling wind power output smoothing , 2017 .

[37]  Gevork B. Gharehpetian,et al.  Review on Energy Storage Systems Control Methods in Microgrids , 2019, International Journal of Electrical Power & Energy Systems.

[38]  Xiao-Ping Zhang,et al.  General Energy Filters for Power Smoothing, Tracking and Processing Using Energy Storage , 2017, IEEE Access.

[39]  Xiangjun Li,et al.  A review on energy management, operation control and application methods for grid battery energy storage systems , 2019, CSEE Journal of Power and Energy Systems.

[40]  Sanna Syri,et al.  Electrical energy storage systems: A comparative life cycle cost analysis , 2015 .