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MIP-based stochastic security-constrained daily hydrothermal generation scheduling

Journal Article


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Abstract


  • This paper presents the application of a mixedinteger

    programming (MIP) approach for solving stochastic

    security-constrained daily hydrothermal generation scheduling

    (SCDHGS). Power system uncertainties including generating units

    and branch contingencies and load uncertainty are explicitly considered

    in the stochastic programming of SCDHGS. The roulette

    wheel mechanism and lattice Monte Carlo simulation (LMCS)

    are first employed for random scenario generation wherein the

    stochastic SCDHGS procedure is converted into its respective

    deterministic equivalents (scenarios). Then, the generating units

    are scheduled through MIP over the set of deterministic scenarios

    for the purpose of minimizing the cost of supplying energy and

    ancillary services over the optimization horizon (24 h) while satisfying

    all the operating and network security constraints. To amore

    realistic modeling of the DHGS problem, in the proposed MIP

    formulation, the nonlinear valve loading effect, cost, and emission

    function are modeled in linear form, and prohibited operating

    zones (POZs) of thermal units are considered. Furthermore, a dynamic

    ramp rate of thermal units is used, and for the hydro plants,

    the multiperformance curve with spillage and time delay between

    reservoirs is considered. To assess the efficiency and powerful

    performance of the aforementioned method, a typical case study

    based on the standard IEEE-118 bus system is investigated, and

    the results are compared to each other in different test systems.

UOW Authors


  •   Aghaei, Jamshid (external author)
  •   Karami, M (external author)
  •   Muttaqi, Kashem
  •   Shayanfar, H A. (external author)
  •   Ahmadi, Abdollah (external author)

Publication Date


  • 2015

Citation


  • J. Aghaei, M. Karami, K. M. Muttaqi, H. A. Shayanfar & A. Ahmadi, "MIP-based stochastic security-constrained daily hydrothermal generation scheduling," IEEE Systems Journal, vol. 9, (2) pp. 615-628, 2015.

Scopus Eid


  • 2-s2.0-85027948577

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3404&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2395

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 615

End Page


  • 628

Volume


  • 9

Issue


  • 2

Place Of Publication


  • United States

Abstract


  • This paper presents the application of a mixedinteger

    programming (MIP) approach for solving stochastic

    security-constrained daily hydrothermal generation scheduling

    (SCDHGS). Power system uncertainties including generating units

    and branch contingencies and load uncertainty are explicitly considered

    in the stochastic programming of SCDHGS. The roulette

    wheel mechanism and lattice Monte Carlo simulation (LMCS)

    are first employed for random scenario generation wherein the

    stochastic SCDHGS procedure is converted into its respective

    deterministic equivalents (scenarios). Then, the generating units

    are scheduled through MIP over the set of deterministic scenarios

    for the purpose of minimizing the cost of supplying energy and

    ancillary services over the optimization horizon (24 h) while satisfying

    all the operating and network security constraints. To amore

    realistic modeling of the DHGS problem, in the proposed MIP

    formulation, the nonlinear valve loading effect, cost, and emission

    function are modeled in linear form, and prohibited operating

    zones (POZs) of thermal units are considered. Furthermore, a dynamic

    ramp rate of thermal units is used, and for the hydro plants,

    the multiperformance curve with spillage and time delay between

    reservoirs is considered. To assess the efficiency and powerful

    performance of the aforementioned method, a typical case study

    based on the standard IEEE-118 bus system is investigated, and

    the results are compared to each other in different test systems.

UOW Authors


  •   Aghaei, Jamshid (external author)
  •   Karami, M (external author)
  •   Muttaqi, Kashem
  •   Shayanfar, H A. (external author)
  •   Ahmadi, Abdollah (external author)

Publication Date


  • 2015

Citation


  • J. Aghaei, M. Karami, K. M. Muttaqi, H. A. Shayanfar & A. Ahmadi, "MIP-based stochastic security-constrained daily hydrothermal generation scheduling," IEEE Systems Journal, vol. 9, (2) pp. 615-628, 2015.

Scopus Eid


  • 2-s2.0-85027948577

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3404&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2395

Has Global Citation Frequency


Number Of Pages


  • 13

Start Page


  • 615

End Page


  • 628

Volume


  • 9

Issue


  • 2

Place Of Publication


  • United States