Distributionally Robust Collaborative Dispatch of Integrated Energy Systems with DNE Limits Considering Renewable and Contingency Uncertainties

Authors

  • Xiaotong Ji State Grid Hubei Electric Power CO., LTD., Wuhan, China
  • Fan Xiao State Grid Hubei Electric Power Research Institute, Wuhan, China
  • Dan Liu State Grid Hubei Electric Power Research Institute, Wuhan, China
  • Ping Xiong State Grid Hubei Electric Power Research Institute, Wuhan, China
  • Mingnian Zhang State Grid Huanggang Electric Power CO., LTD., Huanggang, China

DOI:

https://doi.org/10.5755/j02.eie.33960

Keywords:

Renewable energy integration, Integrated energy systems, Distributionally robust optimisation, Do-not-exceed limits, Combined heat and power, Uncertainty

Abstract

Collaborative optimisation of system reserves and utilisation of renewable energy is an efficient approach to achieving robust optimal dispatch of integrated energy systems (IES). However, conventional robust dispatch methods are often too conservative and lack the ability to consider uncertainties such as renewable energy and contingency probabilities. To address these limitations, this paper proposes a distributionally robust dispatch model that co-optimises reserves and do-not-exceed (DNE) limits while considering these uncertainties. First, a deterministic optimisation model of IES is established with a minimum operational cost objective and security constraints. Next, a two-stage robust collaborative optimisation framework of IES is built, based on the Wasserstein measure, with random equipment faults represented by an adjustable ambiguity set. Finally, to overcome the computational challenges associated with robust approaches, duality theory and Karush-Kuhn-Tucker (KKT) conditions are used to convert the formulation into a mixed integer linear programming (MILP) model. The Simulation results on the modified IEEE 33-bus system demonstrate the effectiveness of the proposed model and solution methodology.

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Published

2023-06-27

How to Cite

Ji, X., Xiao, F., Liu, D., Xiong, P., & Zhang, M. (2023). Distributionally Robust Collaborative Dispatch of Integrated Energy Systems with DNE Limits Considering Renewable and Contingency Uncertainties. Elektronika Ir Elektrotechnika, 29(3), 39-47. https://doi.org/10.5755/j02.eie.33960

Issue

Section

RENEWABLE ENERGY

Funding data