A market power assessment method for load aggregators considering multiple uncertainties under ice disasters

Abstract

In extreme scenarios， load aggregators may control the market to rake in excess profits. To address this， this paper proposes a market power assessment method for load aggregators considering multiple uncertainties under ice disasters. Firstly， the universal generating function （UGF） is used to describe uncertainties of faults on overhead lines and wind turbines under ice disasters. Secondly， by aggregating standard probabilistic functions of various uncertainties， the paper proposes a market power assessment operator to construct a market power assessment model for load aggregator nodes. Finally， based on the results of the clearance model， a spatiotemporal market power index system is constructed to identify key load aggregators with high market power levels and the corresponding critical periods. Case study results demonstrate that this method effectively quantifies the market power levels of load aggregators under ice disasters， and that load aggregators in regions with higher loads are more likely to exercise market power during severe icing periods.

Keywords

• load aggregator
• market power assessment
• multiple uncertainties
• ugf
• extreme weather