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access icon free Optimal integration of MBESSs/SBESSs in distribution systems with renewables

  • Author(s): Yu Zheng 1 ; Ke Meng 2 ; Fengji Luo 3 ; Jing Qiu 3 ; Junhua Zhao 4
    • View affiliations
  • Source: Volume 12, Issue 10, 30 July 2018, p. 1172 – 1179
    DOI:  10.1049/iet-rpg.2017.0236 , Print ISSN 1752-1416, Online ISSN 1752-1424
© The Institution of Engineering and Technology
Received 21/04/2017, Accepted 16/04/2018, Revised 08/04/2018, Published 20/04/2018

The net demand of distribution systems of renewable energy shows strong daily and seasonal patterns that may cause a loss of operation and constriction. Battery energy storage systems (BESS) allow peak load shaving and are used to enhance the reliability of distribution systems. In addition to the problem of an unbalanced net demand, there can be significant net demand fluctuation for different times and locations. To address this, mobile BESS (MBESS) can offer advantages over static BESS (SBESS) in operation flexibility, though may require higher engineering costs. In this study, an operation model was proposed to coordinate static and MBESS to improve overall system economic efficiency and reliability. On the basis of this model, a framework was proposed to optimally allocate MBESS/SBESS in a distribution system based on cost–benefit analysis. Using this approach, the optimal operation schedules for MBESS and SBESS can be simultaneously obtained. The proposed optimisation problem uses a new evolution algorithm, a natural aggregation algorithm. A case study on the IEEE test system successfully verified the effectiveness of the proposed approach for the optimal allocation of MBESS/SBESS in distribution systems.

Inspec keywords: battery storage plants; optimisation; power generation scheduling; cost-benefit analysis; power distribution reliability; evolutionary computation; power generation economics; distributed power generation

Other keywords: operation model; cost–benefit analysis; optimisation problem; peak load shaving; natural aggregation algorithm; unbalanced net demand; engineering costs; distribution system reliability; IEEE test system; renewable energy; optimal operation schedules; mobile BESS; battery energy storage systems; system economic efficiency; static BESS; MBESSs-SBESSs; evolution algorithm

Subjects: Optimisation techniques; Power system management, operation and economics; Distributed power generation; Other power stations and plants; Reliability

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