Abstract
This paper focuses on the decentralized optimal control algorithm for distribution management system by considering distribution network as coupled microgrids. Based on the autonomous control model of each single microgrid, coordinated information and strategies among different microgrids are used to decrease the operating cost of distributed generation, improve the efficiency of the distributed storages utilization, and reduce the complexity of distribution network operation. The optimal control problem of microgrids is modeled as a decentralized partially-observable Markov decision process (DEC-POMDP), and a coordinated dynamic programming algorithm is used to solve the problem by introducing a look-head dual multiplier mechanism as decentralized control signals from centralized information. The performances of this algorithm and the impacts of different coordinated information are discussed by some study cases in the end of this paper.
| Original language | English |
|---|---|
| Article number | 6654349 |
| Pages (from-to) | 2174-2181 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Smart Grid |
| Volume | 4 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2013 |
Keywords
- DEC-POMDP
- Distribution management system
- Distribution network
- Lagrangian relaxation
- Smart grid
