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This work presents a self scheduling problem of a thermal GenCo, trading electricity in a daily spot and subsequent adjustment market, to secure maximum feasible profit under the uncertainties of both the markets. The work proposes an Information Gap Decision Theory (IGDT) based framework that enables GenCo to make robust decisions for self-scheduling as well as trading portfolio selection in daily...
Fluctuating outputs of distributed generations, time-varying load demands and estimation errors of loads bring substantial uncertainty risks to the active distribution network restoration, which becomes a challenge to the traditional deterministic algorithms. In this paper, a robust restoration approach is proposed to solve this issue, considering both DG outputs and load demands uncertainties. Firstly,...
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