Chance Constrained Economic Dispatch Considering the Capability of Network Flexibility Against Renewable Uncertainties
Yue Song, Tao Liu, David J. Hill

TL;DR
This paper introduces a chance constrained economic dispatch model that incorporates network flexibility, allowing for better handling of renewable uncertainties and improving operational economy and security.
Contribution
It proposes a novel CCED model with continuous network flexibility variables and an efficient iterative solver applicable to various uncertainty types.
Findings
Network flexibility mitigates congestion caused by renewable uncertainties.
The method improves economic efficiency while maintaining security.
Case studies demonstrate significant operational benefits.
Abstract
This paper incorporates a continuous-type network flexibility into chance constrained economic dispatch (CCED). In the proposed model, both power generations and line susceptances are continuous variables to minimize the expected generation cost and guarantee a low probability of constraint violation in terms of generations and line flows under renewable uncertainties. From the analytical form of CCED, we figure out the mechanism of network flexibility against uncertainties -- while renewable uncertainties shrink the usable line capacities and aggravate transmission congestion, network flexibility mitigates congestion by re-routing the base-case line flows and reducing the line capacity shrinkage caused by uncertainties. Further, we propose an alternate iteration solver for this problem. By duality theory, we set up a master problem in the form of second-order cone programming to…
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Taxonomy
TopicsElectric Power System Optimization
