engleski

Optimal Cooperative Scheduling of Multi-Energy Microgrids Under Uncertainty

With the restructuring of the power system, household level end-users are becoming active participants in the electricity market. Since their size is negligible versus the size of the whole system, they are encouraged to group into energy communities such as microgrids (MG). They operate parallel to the rest of the system and their operation is driven by market signals with the goal of minimizing energy costs for MG stakeholders by utilizing available resources in their portfolio. The complexity of optimizing MG operation increases with the introduction of additional energy vectors and their interaction with the electricity sector, but also with the possibility to provide services on multiple markets and on different time horizons. In the paper we consider different decarbonization strategies of several MGs, modelling 3 main cases: full electrification, gas-heat-electricity and electricity-hydrogen coupling. While each of these options can separately achieve savings, cooperation between different MGs can bring additional benefits for all involved parties. To evaluate these benefits we propose a stochastic two-stage mixed integer linear model for multi MG cooperation and bring the conclusions on the value of their joint market participation through several exchange scenarios. This is expressed through operational costs savings on annual and daily basis as well as through other metrics such as self sufficiency and CO2 savings.

microgrid, stochastic optimization, cooperation, multi-energy

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