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Sequential and comprehensive BESSs placement in unbalanced active distribution networks considering the impacts of BESS dual attributes on sensitivity
Journal article   Peer reviewed

Sequential and comprehensive BESSs placement in unbalanced active distribution networks considering the impacts of BESS dual attributes on sensitivity

X. Su, Z. Zhang, Y. Liu, Y. Fu, F. Shahnia, C. Zhang and Z. Dong
IEEE Transactions on Power Systems, Vol.36(4), pp.3453-3464
2021
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Abstract

The placement of battery energy storage system (BESS) determines whether its capabilities can be effectively exploited. However, existing BESS placement studies are commonly based on a balanced network model while practical distribution networks are essentially unbalanced. Besides, the power injection-based loss sensitivities are widely used to reduce the computation and memory burdens for complicated placement applications, which nevertheless cannot fully consider the impacts of both the BESS charging and discharging attributes and tends to generate less cost-effective clustered solutions. To address the challenges above, this study firstly proposes a multi-objective BESS placement optimization model for unbalanced active distribution networks, considering the time-varying load and renewable profiles as well as electricity prices, to minimize the cost of primary investment and operation/maintenance while maximizing the saving by loss reduction and load shifting. Then, a sequential BESS placement strategy is presented, based on the definition of a comprehensive loss sensitivity index (CLSI) considering the dual attributes of BESS charging and discharging, for more cost-effective and reasonable placement solutions. Finally, the proposed CLSI based sequential BESS placement is tested by detailed simulations on a real Australian distribution network of high PV penetrations.

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#7 Affordable and Clean Energy

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.18 Power Systems & Electric Vehicles
4.18.204 Smart Grid Optimization
Web Of Science research areas
Engineering, Electrical & Electronic
ESI research areas
Engineering
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