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A Bi-Level Framework for Expansion Planning in Active Power Distribution Networks

Milad Kabirifar, Mahmud Fotuhi‐Firuzabad, Moein Moeini‐Aghtaie, Niloofar Pourghaderi, Payman Dehghanian

2021IEEE Transactions on Power Systems60 citationsDOI

Abstract

This paper presents a new framework for multistage expansion planning in active power distribution networks, in which the distribution system operator (DSO) considers active network management by clearing the local energy market at the distribution level. The proposed model is formulated as a bi-level optimization problem, where the upper level minimizes the net present value of the total costs imposed to DSO associated with the investment and maintenance of the network assets as well as the network operation, while the lower level on clearing the local energy market captures the participation of distributed energy resource (DER) owners and demand aggregators to maximize the social welfare. The expansion plans consider the investments in DER owners’ assets as well as variety of network assets in which the profitability of DER owners’ investment is guaranteed. The Karush-Kuhn-Tucker optimality conditions and the strong duality theory are employed through which the model is converted to a mixed integer linear programming optimization problem. The implementation of the suggested model on the 24-bus and 86-bus distribution test systems validates its performance and efficacy in making cost-effective planning decisions.

Topics & Concepts

Profitability indexMathematical optimizationMarket clearingLinear programmingDemand responseOperator (biology)Distributed generationInteger programmingStrong dualityComputer scienceOperations researchEconomicsOptimization problemEngineeringRenewable energyMicroeconomicsMathematicsElectricityFinanceElectrical engineeringTranscription factorRepressorChemistryGeneBiochemistrySmart Grid Energy ManagementOptimal Power Flow DistributionElectric Power System Optimization