TY - JOUR
T1 - Stochastic midterm coordination of hydro and natural gas flexibilities for wind energy integration
AU - Kamalinia, Saeed
AU - Wu, Lei
AU - Shahidehpour, Mohammad
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - This paper presents a stochastic security-constrained unit commitment (SCUC) model for the optimal midterm and flexible allocations of hydro and natural gas systems when accommodating a large integration of wind energy. Random errors in forecasting the hourly wind, natural water inflow, and electric load as well as random outages of power system components are modeled in scenarios via the Monte Carlo (MC) simulation. The proposed optimization model is formulated as a two-stage stochastic problem, where short-term and midterm generation resource optimizations are investigated in the first and the second stages, respectively. The reliability criteria including the loss of load expectation (LOLE) and load curtailment limits are incorporated into the midterm stochastic SCUC problem, where electric power and natural gas network constraints are checked. Numerical experiments signify the effectiveness of the proposed method for the midterm optimal scheduling of water and natural gas flexibilities when integrating wind energy resources.
AB - This paper presents a stochastic security-constrained unit commitment (SCUC) model for the optimal midterm and flexible allocations of hydro and natural gas systems when accommodating a large integration of wind energy. Random errors in forecasting the hourly wind, natural water inflow, and electric load as well as random outages of power system components are modeled in scenarios via the Monte Carlo (MC) simulation. The proposed optimization model is formulated as a two-stage stochastic problem, where short-term and midterm generation resource optimizations are investigated in the first and the second stages, respectively. The reliability criteria including the loss of load expectation (LOLE) and load curtailment limits are incorporated into the midterm stochastic SCUC problem, where electric power and natural gas network constraints are checked. Numerical experiments signify the effectiveness of the proposed method for the midterm optimal scheduling of water and natural gas flexibilities when integrating wind energy resources.
KW - Flexible midterm operation
KW - hydro resource allocation
KW - natural gas
KW - stochastic security-constrained unit commitment (SCUC)
KW - wind energy
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U2 - 10.1109/TSTE.2014.2326821
DO - 10.1109/TSTE.2014.2326821
M3 - Article
AN - SCOPUS:85027956844
SN - 1949-3029
VL - 5
SP - 1070
EP - 1079
JO - IEEE Transactions on Sustainable Energy
JF - IEEE Transactions on Sustainable Energy
IS - 4
M1 - 6840360
ER -