Scenario-based Stochastic Optimization for Energy and Flexibility Dispatch of a Microgrid
Artikel i vetenskaplig tidskrift, 2022

Energy storage is one of the most important components of microgrids with non-dispatchable generators and can offer both energy and flexibility services when the microgrid operates in grid-connected mode. This paper proposes a scenario-based stochastic optimization model that can be used to determine the energy and flexibility dispatch of a residential microgrid with solar and stationary battery systems. The objective of the model is to minimize the expected energy and peak power cost as well as the battery aging cost, while maximizing the expected revenue from flexibility. The formulated stochastic optimization problem is solved in rolling horizon with the uncertainty model being dynamically updated to consider the most recent forecast profiles for solar power and electricity demand. The benefits of the proposed approach were demonstrated by simulating the daily operation of a real building. The results showed that the estimated flexibility was successfully dispatched yielding an economic value of at least 7% of the operation cost of the building microgrid. The model can be used by flexibility providers to assess their flexibility and design a bidding strategy as well as by system operators to design incentives for flexibility providers.


renewable energy

battery energy storage

stochastic optimization.


Battery degradation


Kyriaki Antoniadou-Plytaria

Chalmers, Elektroteknik, Elkraftteknik

David Steen

Chalmers, Elektroteknik, Elkraftteknik

Anh Tuan Le

Chalmers, Elektroteknik, Elkraftteknik

Ola Carlson

Chalmers, Elektroteknik, Elkraftteknik

Baraa Mohandes

Luxembourg Institute of Science and Technology

Ali Fotouhi

Chalmers, Elektroteknik, Elkraftteknik

IEEE Transactions on Smart Grid

1949-3053 (ISSN) 19493061 (eISSN)

Vol. 13 5 3328-3341


Europeiska kommissionen (EU) (EC/H2020/864048), 2019-11-01 -- 2023-04-30.





Mer information

Senast uppdaterat