Economic dispatch of generation load aggregators based on two-stage robust optimization

Introduction: In recent years, with the rapid development of renewable energy generation, stability power grid has been greatly reduced. response to this problem, integrating user side transferable load into market become key future grid. At present, large loads have entered electricity in some pilot areas China, but relevant research on small and medium-sized users entering is still few. Methods: This paper proposes concept generation aggregators. A two-stage aggregator robust optimization model developed obtain scheduling scheme lowest operating cost under worst scenario. The consists distributed power, load, self-provided storage, etc. Uncertainties are introduced model. By using column constraint algorithm strong pairwise theory, original problem decomposed main sub-problems be solved alternately, so as scenario different conservatism. Results: results compared those without aggregator, illustrating role relieving peak valley pressure from side, reducing for loads, promoting consumption energy. comparison deterministic shows a significant decrease total validates performance selected solution algorithm. boundary conditions use storage by aggregators reduction time-sharing tariff mechanism also derived. Discussion: study can provide reference investors when planning whether install or scale help management department design reasonable incentive mechanism.