Open AccessStochastic control for optimal power flow in islanded microgrid
Author(s) -
Thang Diep-Thanh,
Quang Nguyen-Phung,
Huy Nguyen-Duc
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i2.pp1045-1057
Subject(s) - control theory (sociology) , power (physics) , optimal control , microgrid , maximum power principle , turbine , computer science , wind power , generator (circuit theory) , power control , sensitivity (control systems) , diesel generator , mathematical optimization , control (management) , mathematics , engineering , physics , electrical engineering , mechanical engineering , quantum mechanics , artificial intelligence , electronic engineering
The problem of optimal power flow (OPF) in an islanded mircrogrid (MG) for hybrid power system is described. Clearly, it deals with a formulation of an analytical control model for OPF. The MG consists of wind turbine generator, photovoltaic generator, and diesel engine generator (DEG), and is in stochastic environment such as load change, wind power fluctuation, and sun irradiation power disturbance. In fact, the DEG fails and is repaired at random times so that the MG can significantly influence the power flow, and the power flow control faces the main difficulty that how to maintain the balance of power flow? The solution is that a DEG needs to be scheduled. The objective of the control problem is to find the DEG output power by minimizing the total cost of energy. Adopting the Rishel’s famework and using the Bellman principle, the optimality conditions obtained satisfy the Hamilton-Jacobi-Bellman equation. Finally, numerical examples and sensitivity analyses are included to illustrate the importance and effectiveness of the proposed model.