Title :
A distributed control algorithm for the minimization of the power generation cost in smart micro-grid
Author :
Cavraro, Guido ; Carli, Ruggero ; Zampieri, Sandro
Author_Institution :
Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
Abstract :
We consider the problem of minimizing the power generation cost by exploiting the distributed renewable energy sources(DRES) located in the power distribution network. The proposed strategy requires that the intelligent agents, located at the microgenerator buses, measure their voltage and then adjust the amount of injected power, according to a feedback control law that is indeed a projected gradient descent strategy. Simulations are provided in order to illustrate the algorithm behavior.
Keywords :
distributed control; distributed power generation; feedback; gradient methods; power control; power distribution control; power generation economics; renewable energy sources; smart power grids; voltage measurement; DRES; distributed control algorithm; distributed renewable energy sources; feedback control law; intelligent agents; microgenerator buses; power distribution network; power generation cost minimization; power injection adjustment; projected gradient descent strategy; smart microgrid; voltage measurement; Cost function; Generators; Power generation; Production; Renewable energy sources; Voltage measurement;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7040272
