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A new management framework for mitigating intense ramping in distribution systems

Fattaheian Dehkordi, S ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.energy.2022.124100
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Nowadays, the increasing integration of variable renewable energies (VREs) in power systems have resulted in operational transformations of energy systems. Respectively, the high-amount of integrated VREs could cause severe-ramping in the net-load of energy systems due to abrupt changes in their power production. Accordingly, based on the limited flexibility capacity in transmission systems, severe ramping-up/down (RU/RD) in distribution systems should be addressed by employing local flexible resources (LFRs). Nevertheless, evolution of multi-agent structured distribution systems has limited the direct access of distribution system operators (DSOs) in scheduling of LFRs. Consequently, this paper intends to organize a bonus-based framework for flexibility RU/RD management in multi-agent distribution systems (MADSs). In this approach, each agent independently operates its resources, while DSO strives to efficiently manage the intense RU/RD associated with the MADS's net electricity demand. Respectively, the proposed approach is modeled as a Stackelberg game and the strong duality concept is deployed to construct the one-level optimizing formulation to determine its equilibrium point. Subsequently, the proposed strategy enables the contribution of LFRs in the RU/RD management of energy systems with high-amount of integrated VREs. Finally, the proposed strategy is applied on a 37-bus-test-system to examine its effectiveness in severe RU/RD mitigation in MADSs. © 2022
  6. Keywords:
  7. Distribution systems ; Duck curve ; Local flexible resources ; Multi-agent system ; Renewable energies ; Electric power generation ; Electric power transmission ; Renewable energy resources ; Energy systems ; Flexibility ; Flexible resources ; Local flexible resource ; Multi agent ; Ramping-up/down management ; Variable renewable energies ; Multi agent systems ; Distribution system ; Electricity ; Electricity generation ; Electricity supply ; Power generation
  8. Source: Energy ; Volume 254 , 2022 ; 03605442 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0360544222010039