I like to know your opinion about the suitability of deterministic optimization techniques for the optimal power flow in a microgrid and what do you think what the potential bottlenecks are?
It depends on characteristics of your system. If you have no uncertainty source in the MG, you can run a deterministic optimization, but when you have an uncertain variable, such as wind power generation, you need to apply the stochastic programming.
Note that, you might consider only one scenario to model your uncertainty and run the deterministic optimization.
Again, it depends on you problem and your system characteristics.
Thank you Amin. I have came across following papers which can be interesting with respect to dealing with uncertainties using deterministic methods.
1. Li, X., Li, Y., Zhang, S.: Analysis of probabilistic optimal power flow taking account of the variation of load power. IEEE Trans. Power Syst. 23(3), 992–999 (2008)
2. Verbiˇc, G., Cañizares, C.: Probabilistic optimal power flow in electricity markets based on a two point estimate method. IEEE Trans. Power Syst. 21(4), 1883–1893 (2006)
The non-deterministic methods especially heuristic methods might not lead to optimality but so far based on my study they can be good candidate for small scale highly nonlinear problems which can be relevant to distribution side (low voltage) Microgrid of small size.
Dear Dr. Sohail Khan
I suggest the following articles:
Article Optimal Operation of Hybrid Power Systems Including Renewabl...
Article Energy management of an experimental microgrid coupled to a V2G system
- Badges
- Science topic
- Similar topics
- Comment