Abstract
This paper proposes an approximate dynamic programming (ADP) based algorithm for the real-time operation of the microgrid under uncertainties. First, the optimal operation of the microgrid is formulated as a stochastic mixed-integer nonlinear programming (MINLP) problem, combining the ac power flow and the detailed operational character of the battery. For this NP-hard problem, the proposed ADP based energy management algorithm decomposes the original multitime periods MINLP problem into single-time period nonlinear programming problems. Thus, the sequential decisions can be made by solving Bellman's equation. Historical data is utilized offline to improve the optimality of the real-time decision, and the dependency on the forecast information is reduced. Comparative numerical simulations with several existing methods demonstrate the effectiveness and efficiency of the proposed algorithm.
Original language | English |
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Article number | 8410037 |
Journal | I E E E Transactions on Sustainable Energy |
Volume | 10 |
Issue number | 2 |
Pages (from-to) | 931 - 942 |
Number of pages | 12 |
ISSN | 1949-3029 |
DOIs | |
Publication status | Published - Apr 2019 |
Keywords
- AC power flow
- Approximate dynamic programming (ADP)
- Batteries
- Battery
- Generators
- Mathematical model
- Microgrid
- Microgrids
- Optimization
- Real-time optimization
- Real-time systems
- State of charge