Accuracy improvement method of energy storage utilization with DC voltage estimation in large-scale photovoltaic power plants

Yeuntae Yoo, Gilsoo Jang, Jeong Hwan Kim, Iseul Nam, Minhan Yoon, Seungmin Jung

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In regard to electric devices, currently designed large-scale distributed generation systems require a precise prediction strategy based on the composition of internal component owing to an environmental fluctuating condition and forecasted power variation. A number of renewable resources, such as solar or marine based energies, are made up of a low voltage direct current (DC) network. In addition to actively considering a power compensation plan, these generation systems have negative effects, which can be induced to a connected power system. When a storage is connected to a DC-based generation system on an inner network along with other generators, a precise state analysis plan should back the utilization process. This paper presents a cooperative operating condition, consisting of the shared DC section, which includes photovoltaic (PVs) and energy storage devices. An active storage management plan with voltage-expectation is introduced and compared via a commercialized electro-magnetic transient simulation tool with designed environmental conditions. Owing to their complexity, the case studies were sequentially advanced by dividing state analysis verification and storage device operation.

Original languageEnglish
Article number3907
Issue number20
Publication statusPublished - 2019 Oct 15

Bibliographical note

Funding Information:
Funding: This work was supported by the National Research Foundation Grant (No. 2018R1C1B5030524) and the Korea Institute of Energy Technology Evaluation and Planning/MOTIE (No. 20184030201900) funded by the Korean government.

Publisher Copyright:
© 2019 by the authors.


  • DC power flow
  • DC system dynamics
  • ESS application
  • Hybrid generation system
  • PV diagnosis

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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