Techno-economic analysis of energy storage integration combined with SCUC and STATCOM to improve power system stability.

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Title: Techno-economic analysis of energy storage integration combined with SCUC and STATCOM to improve power system stability.
Authors: Kumbhar, Nileshkumar J.1 (AUTHOR) kumbhar.nilesh22@gmail.com, Jadhav, H. T.2 (AUTHOR)
Source: Electrical Engineering. Dec2024, Vol. 106 Issue 6, p6953-6971. 19p.
Subjects: Energy storage, Synchronous capacitors, Solar energy, Computational mathematics, Solar power plants
Abstract: In today's grid power system, the emergence of flexibility devices such as energy storage systems (ESS), static synchronous compensators (STATCOM), and demand response programs (DRP) can help power system operators make more effective and cost-effective power system scheduling decisions. This paper proposes security-constrained unit commitment (SCUC) for stochastic scheduling of power systems based on the grid and the coordinated strategy of ESS, STATCOM, and DRP units in the presence of high solar PV power penetration. By addressing the problem constraints, the goal is to reduce operational, ESS cost, load shedding, solar power curtailment, and DRP costs. The AC power flow equations and all the model relations have been given convexities to produce a mixed-integer quadratically constrained programming (MIQCP) model, the solution to which would produce global optimum results. The developed model is used for solving the general algebraic modeling system (GAMS), realistic to the IEEE 24-bus system in several case studies, and the outcomes are carefully examined. The economic benefits shared by ESS and DRP with STATCOM devices were reduced by about 5.6% in scheduling costs as compared to solar PV farms. [ABSTRACT FROM AUTHOR]
Copyright of Electrical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Techno-economic analysis of energy storage integration combined with SCUC and STATCOM to improve power system stability.
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  Data: <searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronous+capacitors%22">Synchronous capacitors</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+energy%22">Solar energy</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+mathematics%22">Computational mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+power+plants%22">Solar power plants</searchLink>
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  Data: In today's grid power system, the emergence of flexibility devices such as energy storage systems (ESS), static synchronous compensators (STATCOM), and demand response programs (DRP) can help power system operators make more effective and cost-effective power system scheduling decisions. This paper proposes security-constrained unit commitment (SCUC) for stochastic scheduling of power systems based on the grid and the coordinated strategy of ESS, STATCOM, and DRP units in the presence of high solar PV power penetration. By addressing the problem constraints, the goal is to reduce operational, ESS cost, load shedding, solar power curtailment, and DRP costs. The AC power flow equations and all the model relations have been given convexities to produce a mixed-integer quadratically constrained programming (MIQCP) model, the solution to which would produce global optimum results. The developed model is used for solving the general algebraic modeling system (GAMS), realistic to the IEEE 24-bus system in several case studies, and the outcomes are carefully examined. The economic benefits shared by ESS and DRP with STATCOM devices were reduced by about 5.6% in scheduling costs as compared to solar PV farms. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Electrical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00202-024-02410-y
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        Text: English
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      – SubjectFull: Energy storage
        Type: general
      – SubjectFull: Synchronous capacitors
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      – SubjectFull: Solar energy
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      – SubjectFull: Computational mathematics
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      – SubjectFull: Solar power plants
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              Text: Dec2024
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