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An Incentive-Based Online Optimization Framework for Distribution Grids
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DOI：10.1109/TAC.2017.2760284.png)
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Abstract
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This paper formulates a time-varying socialwelfare maximization problem for distribution grids with distributed energy resources (DERs) and develops online distributed algorithms to identify (and track) its solutions. In the considered setting, network operator and DER-owners pursue given operational and economic objectives, while concurrently ensuring that voltages are within prescribed limits. The proposed algorithm affords an online implementation to enable tracking of the solutions in the presence of time-varying operational conditions and changing optimization objectives. It involves a strategy where the network operator collects voltage measurements throughout the feeder to build incentive signals for the DER-owners in real time; DERs then adjust the generated/consumed powers in order to avoid the violation of the voltage constraints while maximizing given objectives. The stability of the proposed schemes is analytically established and numerically corroborated.
Keywords:
Distribution networks
exact convex relaxation
real-time pricing
social welfare maximization
time-varying optimization
voltage regulation
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