4.5 Article

Distributed generation and energy storage system planning for a distribution system operator

期刊

IET RENEWABLE POWER GENERATION
卷 12, 期 12, 页码 1345-1353

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2018.5115

关键词

distributed power generation; power generation scheduling; power generation planning; power generation economics; energy storage; power distribution planning; power distribution economics; wind power; minimisation; power generation control; open systems; power distribution control; distributed generation planning; energy storage system planning; distribution system operator; smart distribution system architecture; value-based control techniques; bidirectional power flows; energy transactions; peer-to-peer transactions; interoperability; distributed energy resources; optimal ESS allocation; optimal DG allocation; wind energy integration; annualised investment cost; imbalance cost; power scheduling; modified IEEE 15-bus distribution radial system; risk-seeking operation strategy; wind power penetration

资金

  1. Hong Kong RGC Theme Based Research Scheme [T23-407/13N, T23-701/14N]
  2. National Natural Science Foundation of China [71331001, 71420107027, 71071025, 71271033]
  3. Shenzhen Municipal Science and Technology Innovation Committee International RD project [GJHZ20160301165723718, JCYJ20170410172224515]
  4. FEIT Early Career Researcher and Newly Appointed Staff Development Scheme, The University of Sydney

向作者/读者索取更多资源

The smart distribution system architecture provides value-based control techniques that facilitate bi-directional power flows and energy transactions. Although consensus and understanding continue to develop around peer-to-peer transactions, a distribution system operator aims to promote and enable interoperability among entities, particularly those who own distributed energy resources such as energy storage system (ESS) and distributed generation (DG). In this study, the authors address the optimal allocation of ESS and DG in the smart distribution system architecture, in order to help the integration of wind energy. The formulated objective is to minimise the sum of the annualised investment cost, the expected profit and the imbalance cost in the two-stage of power scheduling. The proposed model is verified on the modified IEEE 15-bus distribution radial system. The simulation results have verified the proposed planning approach. Also, results show that a more risk-seeking operation strategy is recommended if wind power penetration increases.

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