TSO-DSO Operational Planning Coordination through <i>l</i><sub>1</sub>-Proximal Surrogate Lagrangian Relaxation

Mikhail Bragin, Yury Dvorkin

Research output: Contribution to journalArticlepeer-review


The proliferation of distributed energy resources(DERs), located at the Distribution System Operator (DSO)level, bring new opportunities as well as new challenges to the operations within the grid, specifically, when it comes to the interaction with the Transmission System Operator (TSO). To enable interoperability, while ensuring higher flexibility and cost-efficiency, DSOs and the TSO need to be efficiently coordinated. Difficulties behind creating such TSO-DSO coordination include the combinatorial nature of the operational planning problem involved at the transmission level as well as the nonlinearity of AC power flow within both systems. These considerations significantly increase the complexity even under the deterministic setting. In this paper, a deterministic TSO-DSO operational planning coordination problem is considered and a novel decomposition and coordination approach is developed. Within the new method, the problem is decomposed into TSO andDSO subproblems, which are efficiently coordinated by updatingLagrangian multipliers. The nonlinearities at the TSO level caused by AC power flow constraints are resolved through a dynamic linearization while guaranteeing feasibility through <i>l</i><sub>1</sub>proximal terms. Numerical results based on the coordination of the 118-bus TSO system with up to 32 DSO 34-bus systems indicate that the method efficiently overcomes the computational difficulties of the problem.

Original languageEnglish (US)
JournalIEEE Transactions on Power Systems
StateAccepted/In press - 2021


  • Complexity theory
  • Convergence
  • Distribution System Operations
  • Planning
  • Power markets
  • Programming
  • Surrogate Absolute-Value Lagrangian Relaxation
  • Surrogate Lagrangian Relaxation
  • Topology
  • Transmission System Operations
  • TSO-DSO Coordination
  • Voltage control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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