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Optimal Operation of Strategic Microgrids in the Day-Ahead Market in Presence of Rivals
  • Mehdi Alidust,
  • majid Gandomkar,
  • Javad Nikoukar
Mehdi Alidust
Islamic Azad University Saveh Branch
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majid Gandomkar
Islamic Azad University Saveh Branch

Corresponding Author:[email protected]

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Javad Nikoukar
Islamic Azad University Saveh Branch
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Abstract

In this paper, a new approach is proposed for the optimal operation of the strategic microgrids in the day-ahead market in the presence of rivals. The method describes a bi-level multi-objective operation of price maker participants (microgrids) that are going to maximize their profit in the presence of rivals and minimize their emissions. The upper-level problem in a bi-level mathematical optimization problem with equilibrium constraints (MPEC) seeks to maximize the profit of price maker participants, and the lower level maximizes the social welfare. Karush-Kuhn-Tucker (KKT) conditions and duality theory are utilized to convert the bi-level model to a mixed-integer linear programming model. The Epsilon constraint method is used to solve the bi-level-multi-objective problem in order to maximize the profit of the linearized model and reduce the emissions of price maker participants. The method generates some Pareto optimal solutions, and the fuzzy decision-making method is used to find the best solution among Pareto optimal solutions. To show the effect of the network on the studies, the power transmission distribution factor (PTDF) method has been used. The proposed method is tested on a 6-bus system in various scenarios. The results show the good performance of the proposed method.