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Power generator scheduling by dynamic programming
Journal article   Peer reviewed

Power generator scheduling by dynamic programming

John Powell, John Gleason, Jon Burton and Jacob R Powell
European journal of operational research, v 1(3)
1977
DOI: https://doi.org/10.1016/0377-2217(77)90022-4

Abstract

Dynamic programming is applied to the problem of determining an optimal short-run schedule for a series of power generating units to meet a time varying system load. Typical scheduling procedures include a priority ordering constraint which requires that units be committed to or removed from power production in a fixed order. A dynamic programming model which relaxes this constraints yields a large combinatorial problem whose state space depends on the number of feasible combinations of generating units. Reduction of storage requirements is achieved through the implementation of data structure techniques. An example of the dynamic programming procedure with data from an actual system suggests significant coast reductions. A comparison with a case in the literature also results in significant savings. Perhaps more important, however, are the substantial energy savings, in light of the current emphasis on energy conservation.

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