Fully distributed control to coordinate charging efficiencies for energy storage systems

doi:10.1007/s40565-017-0373-1

Home > Archive>Volume 6, Issue 5, 2018 >1015-1024. DOI:10.1007/s40565-017-0373-1

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Fully distributed control to coordinate charging efficiencies for energy storage systems

DOI:

10.1007/s40565-017-0373-1

Author:

Wei LIU
Wei LIU
1.School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; 2.School of Electrical Engineering, Southeast University, Nanjing 210096, China
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Wei GU ^²
Wei GU
School of Electrical Engineering, Southeast University, Nanjing 210096, China
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Xiaodong YUAN ^³
Xiaodong YUAN
Jiangsu Electric Power Research Institute, Nanjing 210036, China
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Kaifeng ZHANG ^²
Kaifeng ZHANG
School of Electrical Engineering, Southeast University, Nanjing 210096, China
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Affiliation:

1.School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; 2.School of Electrical Engineering, Southeast University, Nanjing 210096, China; 3.Jiangsu Electric Power Research Institute, Nanjing 210036, China

Fund Project:

This work was supported by National Key R&D Program of China (No. 2017YFB0902803), National Natural Science Foundation of China (No. 51477029), Natural Science Foundation of Jiangsu Province (No. BK20160674), and State Grid Corporation of China (No. SGTYHT/14-JS-188).

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Abstract:

This study proposes a novel fully distributed coordination control (DCC) strategy to coordinate charging efficiencies of energy storage systems (ESSs). To realize this fully DCC strategy in an active distribution system (ADS) with high penetration of intermittent renewable generation, a two-layer consensus algorithm is proposed and applied. It collects global information in the first layer and achieves pinning-based DCC in the second layer. Basic objectives of the proposed DCC for ESSs are: to coordinate the ESSs and improve efficiency using associated marginal charging costs (MCCs) in a fully distributed manner; ` to reduce local power mismatch and power transmission losses; ′ to adapt to unintentional communication topology changes. The effectiveness and adaptability of the proposed DCC approach are both validated by simulation results.

Key words:Energy storage systems (ESSs), Distributed coordination control (DCC), Two-layer consensus algorithm, Marginal charging costs (MCCs)

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Online: September 22,2018
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