When we are connecting different DG's to the particular loads, during non peak hours which DG's are to be selected for the particular load? What kind of algorithm can be used for the selection of DG's in a smartgrid?
You need a correct mathematical model of the DG operation problem, including the objective function(s) and system econ-tech constraints and acceptable modeling of uncertain parameters, then you should either code a numerical optimization algorithm or use a commercial package (like GAMS) to solve the hour-based daily DG scheduling problem. Then analyze the results to see if they make sense. If they did not, update your model/math prog until you get meaningful results for the next 24-hours. Good luck!
Might I suggest that to get a wider audience of people answering your question you should make it as self explanatory as possible. That way, people who don't know about Distributed Generation and power grids could still provide insight into the kinds of algorithms you might be able to use to tackle the problem. Could you post a link to a page or paper that describe this problem at a high level?
I've done research on the subject. But unfortunately now they are not in English. You can refer to the references with keywords "smart grid,optimal operation, power market with distribution generation, integrated microgrid operation". For example:
1- A.Parisio, L.Glielmo,” Mixed Integer Linear Formulation for Microgrid Economic Scheduling, “,IEEE International Conference on Smart Grid Communications (SmartGridComm), pp.505-510,oct.2011
2- A. K. Basu, et al., “Planned Scheduling for Economic Power Sharing in a CHP-Based Micro-Grid IEEE Tran. Power Syst, vol. 27,no.1, pp. 30-38,feb 2012.
3- A. G. Madureira, J. C. Pereira, N. J. Gil, J. A. Lopes, G. N.PeçasKorres, N. D.Hatziargyriou ,"Advanced control and management functionalities for multi-microgrids , " European Transactions on Electrical Power, vol. 21, pp. 1159-1177, 2011.
4- T. Logenthiran, D.Srinivasan, A.M.Khambadkone, H.N.Aung "Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator," Smart Grid, IEEE Transactions on, vol. 3, pp. 925-933, 2012.
5-B. In-Su and O. K. Jin, "Phasor Discrete Particle Swarm Optimization Algorithm to Configure Micro-grids," Journal of Electrical Engineering & Technology vol. 7 no.1, pp. 9-16, 2012.
6-Y. M. Atwa and E. F. El-Saadany, "Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems," Renewable Power Generation, IET, vol. 5, pp. 79-88, 2011.
Mohammad Armakan @ If u have these papers please share it with me yaar
Amutham@ Sir, Do u Have any models in it... i need reference model for my project.
There still is no good and definite algorithm. Simply because there are so many different situations and even more different parameters. Most likely the algorithms can only be solved by unsupervised learning algorithms. But is there were already such, a lot of problems and issues would have been solved. And all current issues still are not solved.
Smart grids have too much influence on each other, and can pull them down.
Smartgrids are a hot issue for post graduates and master thesis. A real good R&D subject.
Just imagine a few hundreds of smartgrids connected to each other or even the power grid. The smart grids may include small ones and big ones. You can imagine that an action of a small one , probably will have an influence of not any significance, but the bigger ones can have impact.
Recent events have shown us that the probability of malfunctioning, still is more likely, than a succesfull switching.
A Swiss company, still is the best into this matter. But they keep their information as top secret.
Dear Mr. Kandiannan,
I recommend you reading the following paper:
"What is the Smart Grid? Definitions, Perspectives, and Ultimate Goals"
Beside it, you can read its fruitful references too.
Regards,
Morteza
I recommend you to go for Model predictive control technique to analyze the smart grids . But in this model should be created or an optimizer. you can go for soft computing techniques like genetic algorithm , but this makes the controlling more complex. First modelling should be done for each DGs with predictive technique and analyze each with the grid connected and islanded mode. Predictive control will make the peak overshoot at the time of any fault conditions to be regulated than any other methods.
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