Abstract
In this study, a configuration model that accounts for operational risks is proposed for the combined power-heating system with energy storage. First, the thermal network storage is taken into account to create a model of the thermal network’s quasi-dynamic operation, and then the combined optimization with the power grid is taken into account to improve the collaborative electric-thermal modeling. Then, the value-at-risk parameter is introduced to make the difficult-to-determine uncertainty interval of new energy self-adaptive, thereby balancing economy and robustness. Finally, the Nested-C&CG algorithm is used to solve the two-stage robust problem with 0 - 1 integer variables in the lower layer. The case study’s findings demonstrate the value of the model and algorithm suggested in this research.
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