Stochastic Operation Scheduling Model for a Swedish Prosumer with PV and BESS in Nordic Day-Ahead Electricity Market
Paper in proceeding, 2019
markets’ prices and the standard scenario reduction algorithms are applied to handle the computational tractability of the problem. The model is applied to a case study using data from the Nordic electricity markets and historical PV production data from the Chalmers University of Technology campus, considering a scaled up 5MWp power capacity. The results show that the proposed approach could increase the revenue for the prosumer by up to 11.6% as compared to the case without any strategy. Furthermore, the sensitivity analysis of BESS’s size on the expected profit shows that increasing BESS size could lead to an increase in the net profits.
stochastic mixed-integer nonlinear optimization problem (SMINLP)
solar prosumer
Battery energy storage systems (BESS)
Swedish balance settlement system.
Author
Christos Agathokleous
Chalmers, Electrical Engineering, Electric Power Engineering
Anh Tuan Le
Chalmers, Electrical Engineering, Electric Power Engineering
David Steen
Chalmers, Electrical Engineering, Electric Power Engineering
2019 IEEE Milan PowerTech, PowerTech 2019
978-1-5386-4722-6 (ISBN)
Milano, ,
Fossil Free Energy Districts (FED)
Region Västra Götaland (RUN 2017-00522 och MN 2017-00126), 2017-07-01 -- 2019-10-31.
European Commission (EC) (UIA01-209), 2016-11-01 -- 2019-10-31.
Subject Categories
Transport Systems and Logistics
Control Engineering
Other Electrical Engineering, Electronic Engineering, Information Engineering
Areas of Advance
Energy
DOI
10.1109/PTC.2019.8810651