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- W4375854653 abstract "In order to solve the economic dispatch problem of a typical retailer coping with the stochastic risk brought by the distributed generation and demand-side fluctuation, a bi-level optimization model with the introduction of random variables is proposed. In this model, the upper-level sub-problem aims to simulate the market clearing process of electricity and reserve auxiliary services, where market clearing price and market clearing electricity are the decision variables, while the lower-level sub-problem is formulated to minimize the costs of purchasing under time-of-use pricing given by the simulation of market clearing. The model is converted into a deterministic model by chance-constrained programming, and the equilibrium solution is obtained by iterations between the upper and lower layers, where the CPLEX solvers are employed to address the upper and lower level sub-problems, respectively. Finally, the impact of different confidence level on the decision carried out by retailers is clarified through the analysis of the numerical simulation of the bi-level optimization model. It is verified that the model can effectively reflect the impact of the decision-making behavior of retailers on the market clearing process." @default.
- W4375854653 created "2023-05-10" @default.
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- W4375854653 date "2023-03-23" @default.
- W4375854653 modified "2023-10-16" @default.
- W4375854653 title "A Bi-level Programming Approach of Economic Dispatch of Electricity Retailers" @default.
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- W4375854653 doi "https://doi.org/10.1109/aeees56888.2023.10114195" @default.
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