TY - GEN
T1 - An efficient primal-dual approach to chance-constrained economic dispatch
AU - Martinez, Gabriela
AU - Zhang, Yu
AU - Giannakis, Georgios B.
N1 - Publisher Copyright:
© 2014 IEEE.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014/11/21
Y1 - 2014/11/21
N2 - To effectively enhance the integration of distributed and renewable energy sources in future smart microgrids, economical energy management accounting for the principal challenge of the variable and non-dispatchable renewables is indispensable and of significant importance. Day-ahead economic generation dispatch with demand-side management for a micro-grid in islanded mode is considered in this paper. With the goal of limiting the risk of the loss-of-load probability, a joint chance constrained optimization problem is formulated for the optimal multi-period energy scheduling with multiple wind farms. Bypassing the intractable spatio-temporal joint distribution of the wind power generation, a primal-dual approach is used to obtain a suboptimal solution efficiently. The method is based on first-order optimality conditions and successive approximation of the probabilistic constraint by generation of p-efficient points. Numerical results are reported to corroborate the merits of this approach.
AB - To effectively enhance the integration of distributed and renewable energy sources in future smart microgrids, economical energy management accounting for the principal challenge of the variable and non-dispatchable renewables is indispensable and of significant importance. Day-ahead economic generation dispatch with demand-side management for a micro-grid in islanded mode is considered in this paper. With the goal of limiting the risk of the loss-of-load probability, a joint chance constrained optimization problem is formulated for the optimal multi-period energy scheduling with multiple wind farms. Bypassing the intractable spatio-temporal joint distribution of the wind power generation, a primal-dual approach is used to obtain a suboptimal solution efficiently. The method is based on first-order optimality conditions and successive approximation of the probabilistic constraint by generation of p-efficient points. Numerical results are reported to corroborate the merits of this approach.
KW - Microgrids
KW - chance constraints
KW - economic dispatch
KW - primal-dual approach
KW - renewable energy
UR - http://www.scopus.com/inward/record.url?scp=84918501577&partnerID=8YFLogxK
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U2 - 10.1109/NAPS.2014.6965379
DO - 10.1109/NAPS.2014.6965379
M3 - Conference contribution
AN - SCOPUS:84918501577
T3 - 2014 North American Power Symposium, NAPS 2014
BT - 2014 North American Power Symposium, NAPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 North American Power Symposium, NAPS 2014
Y2 - 7 September 2014 through 9 September 2014
ER -