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- W2384809557 abstract "To solve the ‘curses of dimensionality' problem of dynamic programming, this paper proposed a policy iteration-approximate dynamic programming(PI-ADP) method for large scale power system unit commitment(UC) problems. Policy iteration was introduced to approximate the value functions in the dynamic programming procedure, replacing the process of calculating the value functions accurately from feasible states, and the ‘curses of dimensionality' was avoided. As approximating the value functions, the operation constraints of practical systems were used for compressing state space effectively and the alternative on/off actions were cut down, so that the calculation amount was reduced further. The results of the systems ranging in size of 10 to 1000 units 96 times show that a high quality solution can be achieved in less time by applying the proposed method. It provides reference for solving the large scale power system UC problems." @default.
- W2384809557 created "2016-06-24" @default.
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- W2384809557 date "2014-01-01" @default.
- W2384809557 modified "2023-09-23" @default.
- W2384809557 title "Policy Iteration-approximate Dynamic Programming for Large Scale Unit Commitment Problems" @default.
- W2384809557 hasPublicationYear "2014" @default.
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