Hierarchical EMS for aggregated BESSs in energy and performance-based regulation markets

The battery energy storage systems (BESSs) have been increasingly installed in the power system, especially with the growing penetration rate of the renewable energy sources. However, it is difficult for BESSs to be profitable due to high capital costs. In order to boost the economic value of BESSs, this paper proposes a hierarchical energy management system (HiEMS) to aggregate multiple BESSs, and to achieve multi-market business operations. The proposed HiEMS optimizes the multi-market bids considering a realistic BESS performance model, and coordinates the BESSs and manages their state of charge (SOC) values, according to their price penalties based on dynamically generated annualized cost. By taking part in the energy market and regulation market at the same time, the cost-performance index (CPI) of the BESS aggregation is greatly improved. The impact of photovoltaic generation (PV) on system performance and CPI is also studied.

[1]  Chongqing Kang,et al.  Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life , 2016, IEEE Transactions on Smart Grid.

[2]  Shuaixun Chen,et al.  Cost-effectiveness studies of the BESSs participating in frequency regulation , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[3]  H. B. Gooi,et al.  Sizing of Energy Storage for Microgrids , 2012, IEEE Transactions on Smart Grid.

[4]  Chul-Hwan Kim,et al.  Coordinated Control Algorithm for Distributed Battery Energy Storage Systems for Mitigating Voltage and Frequency Deviations , 2016, IEEE Transactions on Smart Grid.

[5]  Ali Hooshmand,et al.  Experimental Demonstration of a Tiered Power Management System for Economic Operation of Grid-Tied Microgrids , 2014, IEEE Transactions on Sustainable Energy.

[6]  Paras Mandal,et al.  A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting , 2014, IEEE Transactions on Power Systems.

[7]  Hamed Mohsenian-Rad Optimal Bidding, Scheduling, and Deployment of Battery Systems in California Day-Ahead Energy Market , 2016, IEEE Transactions on Power Systems.

[8]  Jesse M. Gantz,et al.  Optimal Capacity Partitioning of Multi-Use Customer-Premise Energy Storage Systems , 2014, IEEE Transactions on Smart Grid.

[9]  P. Kundur,et al.  Power system stability and control , 1994 .

[10]  Hoay Beng Gooi,et al.  Penetration Rate and Effectiveness Studies of Aggregated BESS for Frequency Regulation , 2016, IEEE Transactions on Smart Grid.

[11]  Hui Li,et al.  Sizing Strategy of Distributed Battery Storage System With High Penetration of Photovoltaic for Voltage Regulation and Peak Load Shaving , 2014, IEEE Transactions on Smart Grid.

[12]  Taher Niknam,et al.  An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation , 2012 .

[13]  Michael E. Webber,et al.  A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas , 2014 .

[14]  Yasser Abdel-Rady I. Mohamed,et al.  Market-Oriented Energy Management of a Hybrid Wind-Battery Energy Storage System Via Model Predictive Control With Constraint Optimizer , 2015, IEEE Transactions on Industrial Electronics.

[15]  Haisheng Chen,et al.  Progress in electrical energy storage system: A critical review , 2009 .

[16]  Christian Blanc Modeling of a vanadium redox flow battery electricity storage system , 2009 .

[17]  I. Batarseh,et al.  Distributed Battery Micro-Storage Systems Design and Operation in a Deregulated Electricity Market , 2012, IEEE Transactions on Sustainable Energy.