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Model predictive control to two-stage stochastic dynamic economic dispatch problem
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DOI：10.1016/j.conengprac.2017.09.012.png)
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A multi-stage model predictive control approach is proposed to compensate the forecast error in a scenario based two-stage stochastic dynamic economic dispatch problem through a feedback mechanism. Reformulating the problem as a finite moving-horizon optimal control problem, the proposed approach decelerates the growth of the number of scenarios by updating the system as uncertainties are gradually realized. Consequently, the computation time is reduced, and the problem is solved without the need for using scenario reduction techniques that compromise the accuracy of the solution. To exhibit the computational efficiency of the proposed approach, numerical experiments are conducted on the IEEE 118-bus system. (C) 2017 Published by Elsevier Ltd.
Keyword:
Dynamic economic dispatch
Stochastic model predictive control
Scenario-based stochastic programming
Wind
Demand uncertainty
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