Electric Springs With Coordinated Battery Management for Reducing Voltage and Frequency Fluctuations in Microgrids

Electric springs based on power electronics have been proposed as a demand response method for stabilizing power grid fed by substantial intermittent renewable energy sources. Associated with energy storage, they can provide both active and reactive power compensation. Due to the limited storage capacity of the battery, this project explores a new control scheme for the third version of the electric springs (ES-3) to operate under the physical constraints of the state-of-charge of the battery for microgrid stability applications. The ES-3 is based on a bi-directional grid-connected power converter with a battery bank. Unlike the traditional control of grid-connected power inverters for injecting renewable power to the power grid, the proposed control scheme puts the stability of the power grid as a high priority while maintaining its normal bi-directional power flow functions. Such a scheme has been tested in an experimental prototype and a power grid simulator. Results are presented in this paper to illustrate the use of the scheme in battery’s monitoring, charging/discharging management, and output power control.

[1]  Florian Kienzle,et al.  Valuing Investments in Multi-Energy Conversion, Storage, and Demand-Side Management Systems Under Uncertainty , 2011, IEEE Transactions on Sustainable Energy.

[2]  Min Chen,et al.  Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.

[3]  Huazhen Fang,et al.  Adaptive estimation of state of charge for lithium-ion batteries , 2013, 2013 American Control Conference.

[4]  Juan M. Morales,et al.  Real-Time Demand Response Model , 2010, IEEE Transactions on Smart Grid.

[5]  P. Regtien,et al.  Modeling Battery Behavior for Accurate State-of-Charge Indication , 2006 .

[6]  T. Kim,et al.  A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects , 2011, IEEE Transactions on Energy Conversion.

[7]  M. K. Mishra,et al.  Integration of PV/battery hybrid energy conversion system to the grid with power quality improvement features , 2013, 2013 IEEE International Conference on Industrial Technology (ICIT).

[8]  Osama A. Mohammed,et al.  Real-Time Energy Management Algorithm for Mitigation of Pulse Loads in Hybrid Microgrids , 2012, IEEE Transactions on Smart Grid.

[9]  Felix F. Wu,et al.  Electric Springs—A New Smart Grid Technology , 2012, IEEE Transactions on Smart Grid.

[10]  Ümit Özgüner,et al.  Decentralized Control of Large-Scale Storage-Based Renewable Energy Systems , 2014, IEEE Transactions on Smart Grid.

[11]  Siew-Chong Tan,et al.  General Steady-State Analysis and Control Principle of Electric Springs With Active and Reactive Power Compensations , 2013, IEEE Transactions on Power Electronics.

[12]  M. Doyle,et al.  Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .

[13]  Siew-Chong Tan,et al.  Electric spring for power quality improvement , 2014, 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014.

[14]  Adel Nasiri,et al.  A Hybrid System of Li-Ion Capacitors and Flow Battery for Dynamic Wind Energy Support , 2013, IEEE Transactions on Industry Applications.

[15]  Narsa Reddy Tummuru,et al.  Dynamic Energy Management of Renewable Grid Integrated Hybrid Energy Storage System , 2015, IEEE Transactions on Industrial Electronics.

[16]  S C Lee,et al.  Demand Side Management With Air Conditioner Loads Based on the Queuing System Model , 2011, IEEE Transactions on Power Systems.

[17]  Siew-Chong Tan,et al.  Control of electric springs with coordinated battery management , 2015, 2015 IEEE Energy Conversion Congress and Exposition (ECCE).

[18]  Juan C. Vasquez,et al.  Control Strategy for Flexible Microgrid Based on Parallel Line-Interactive UPS Systems , 2009, IEEE Transactions on Industrial Electronics.

[19]  Hamid Sharif,et al.  An enhanced circuit-based model for single-cell battery , 2010, 2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[20]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.