DocumentCode :
723434
Title :
Simple day-ahead bidding algorithm for a system with microgrids and a distributor
Author :
Jelenkovic, Leonardo ; Budrovic, Toni
Author_Institution :
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
fYear :
2015
fDate :
25-29 May 2015
Firstpage :
1103
Lastpage :
1108
Abstract :
In this paper we present a heuristic distributed algorithm for day-ahead bidding between collection of microgrids that sell their surplus energy to a power grid controller - distributor, who can use that energy with its consumers. Each microgrid is modeled as a node with consumers, energy generator (from renewable sources) and energy storage capabilities. For each time period, distributor negotiate amounts and prices with each microgrid separately, in rounds. Although both sides are modeled, we focus our research on the microgrid´s bidding algorithm for monetary gain from sold surplus energy. Presented algorithm is simple and produces good results from microgrid perspective. Due to model simplicity, produced results aren´t always optimal, and convergence had to be additionally helped. In comparison to similar distributed bidding algorithms for systems with storage capacity presented algorithm is simplest and can be used for day-ahead but with presented adaptations also for more complex microgrids and distributor, real-time adjustments and asynchronous negotiations.
Keywords :
distributed power generation; power markets; day-ahead bidding algorithm; distributed bidding algorithms; distributor; energy generator; energy storage capabilities; heuristic distributed algorithm; microgrids; power grid controller; surplus energy; Adaptation models; Generators; Microgrids; Optimization; Production; Renewable energy sources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on
Conference_Location :
Opatija
Type :
conf
DOI :
10.1109/MIPRO.2015.7160440
Filename :
7160440
Link To Document :
بازگشت