TY - GEN
T1 - Stochastic wind-thermal generation scheduling considering emission reduction
T2 - 2011 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2011
AU - Khorsand, M. A.
AU - Zakariazadeh, A.
AU - Jadid, S.
PY - 2011/5/16
Y1 - 2011/5/16
N2 - To regard environmental protection renewable energy sources especially wind, has been applied to achieve emission reduction goals. While wind generation does not directly produce air pollutants emission, it causes some changes on thermal power generation scheduling which may lead them to produce more air pollutants emission especially during low and medium energy demand periods. So it seems necessary to consider air pollutants emission level in wind-thermal scheduling problems. This paper proposes a methodology for wind-thermal scheduling in a power system with high penetration of wind power subject to consider air pollutants emission reduction. Because of simultaneous minimizing total operating cost and air pollutants emission, a Multiobjective Mathematical Programming (MMP) is introduced. The computation of the required reserve levels and their costs is attained through a stochastic programming market-clearing model. Also, the network constraints and the costs of both the load shedding and the wind spillage are considered. The usefulness of the proposed approach was tested through an IEEE 30-bus test system.
AB - To regard environmental protection renewable energy sources especially wind, has been applied to achieve emission reduction goals. While wind generation does not directly produce air pollutants emission, it causes some changes on thermal power generation scheduling which may lead them to produce more air pollutants emission especially during low and medium energy demand periods. So it seems necessary to consider air pollutants emission level in wind-thermal scheduling problems. This paper proposes a methodology for wind-thermal scheduling in a power system with high penetration of wind power subject to consider air pollutants emission reduction. Because of simultaneous minimizing total operating cost and air pollutants emission, a Multiobjective Mathematical Programming (MMP) is introduced. The computation of the required reserve levels and their costs is attained through a stochastic programming market-clearing model. Also, the network constraints and the costs of both the load shedding and the wind spillage are considered. The usefulness of the proposed approach was tested through an IEEE 30-bus test system.
KW - Air pollutants emission
KW - Multiobjective mathematical programming
KW - Stochastic programming
KW - Unit commitment
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=79955832110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79955832110&partnerID=8YFLogxK
U2 - 10.1109/APPEEC.2011.5748964
DO - 10.1109/APPEEC.2011.5748964
M3 - Conference contribution
AN - SCOPUS:79955832110
SN - 9781424462551
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
BT - 2011 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2011 - Proceedings
Y2 - 25 March 2011 through 28 March 2011
ER -