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.
Originalsprog | Engelsk |
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Artikelnummer | 8410037 |
Tidsskrift | I E E E Transactions on Sustainable Energy |
Vol/bind | 10 |
Udgave nummer | 2 |
Sider (fra-til) | 931 - 942 |
Antal sider | 12 |
ISSN | 1949-3029 |
DOI | |
Status | Udgivet - apr. 2019 |