Abstract
Extended from the "hosting capacity" concept, “hosting capacity region” (HCR) defines a feasible region in the combined operational space given by the involved energy units. To maximize the grid utility, through synchronized operation referring to the HCR, the network is capable of hosting more units immediately. Meanwhile, the HCR assessment is challenging, and the existing studies are constrained in the distribution network domain. To broaden the applicability of HCR, this paper aims to develop HCR assessment techniques suitable for the transmission network. Moreover, utilizing random polytope approximation, an early acceleration scheme is designed to further improve the assessment performance. By employing a benchmark testing case, we conduct the computational performance analysis from both accuracy and complexity perspectives. The consequent HCR assessment accuracy loss reaches as low as 1.40%, and the early acceleration scheme contributes to 21.22% computation time reduction. These findings have validated the efficacy of the proposed HCR computation methods eventually.
| Original language | English |
|---|---|
| Title of host publication | 2024 International Conference on Smart Energy Systems and Technologies, SEST 2024 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Number of pages | 6 |
| ISBN (Electronic) | 979-8-3503-8649-3 |
| DOIs | |
| Publication status | Published - 4 Oct 2024 |
| Event | 7th International Conference on Smart Energy Systems and Technologies, SEST 2024 - Torino, Italy Duration: 10 Sept 2024 → 12 Sept 2024 Conference number: SEST 2024 |
Conference
| Conference | 7th International Conference on Smart Energy Systems and Technologies, SEST 2024 |
|---|---|
| Country/Territory | Italy |
| City | Torino |
| Period | 10/09/24 → 12/09/24 |
Funding
This work was supported by NEON (New Energy and mobility Outlook for the Netherlands, with project number 17628), a cross-over project financed by NWO (the Dutch Research Council).
| Funders |
|---|
| Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- hosting capacity region
- transmission network
- convex approximation
- computational geometry
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