Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration
In an attempt to achieve net zero, the operation and planning of the energy system face techno-economic challenges brought by integrating large-scale distributed energy resources (DERs) with low carbon footprints. Previous work has analyzed the technical challenges including hosting capacity (HC) fo...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.933295/full |
| _version_ | 1811339756327403520 |
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| author | Yujian Ye Yujian Ye Huiyu Wang Yi Tang |
| author_facet | Yujian Ye Yujian Ye Huiyu Wang Yi Tang |
| author_sort | Yujian Ye |
| collection | DOAJ |
| description | In an attempt to achieve net zero, the operation and planning of the energy system face techno-economic challenges brought by integrating large-scale distributed energy resources (DERs) with low carbon footprints. Previous work has analyzed the technical challenges including hosting capacity (HC) for DERs. In light of the deregulation of the power industry and the transition to power system with renewables at its center, this article takes the lead to maximizing renewable integration in power grids from a market viewpoint. It solves a significant problem brought forth by the fall in electricity prices, resulting from increasing renewable penetration that jeopardizes investment cost recovery and prevents sustainable grid integration of renewables. To this end, a novel bi-level optimization model is formulated, where the upper-level problem aims to maximize the HC of renewables ensuring the recovery of investment, and the lower-level problem describes the market clearing process considering network constraints. The optimal solution of devised bi-level problem can be found after reformulating it to a single-level mixed-integer linear problem (MILP) using the strong duality theorem and a special ordered set-type 1 (SOS1) founded linearization approach. Case studies confirm the significance of the devised model and quantitatively analyze the impact of different network capacities, renewable subsidies, and energy storage, respectively, on the market-based HC obeying its profitability constraint. |
| first_indexed | 2024-04-13T18:31:19Z |
| format | Article |
| id | doaj.art-3c1977127ccf498395c3a40d6902b16a |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-13T18:31:19Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-3c1977127ccf498395c3a40d6902b16a2022-12-22T02:35:03ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-08-011010.3389/fenrg.2022.933295933295Market-based hosting capacity maximization of renewable generation in power grids with energy storage integrationYujian Ye0Yujian Ye1Huiyu Wang2Yi Tang3School of Electrical Engineering, Southeast University, Nanjing, ChinaKey Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaIn an attempt to achieve net zero, the operation and planning of the energy system face techno-economic challenges brought by integrating large-scale distributed energy resources (DERs) with low carbon footprints. Previous work has analyzed the technical challenges including hosting capacity (HC) for DERs. In light of the deregulation of the power industry and the transition to power system with renewables at its center, this article takes the lead to maximizing renewable integration in power grids from a market viewpoint. It solves a significant problem brought forth by the fall in electricity prices, resulting from increasing renewable penetration that jeopardizes investment cost recovery and prevents sustainable grid integration of renewables. To this end, a novel bi-level optimization model is formulated, where the upper-level problem aims to maximize the HC of renewables ensuring the recovery of investment, and the lower-level problem describes the market clearing process considering network constraints. The optimal solution of devised bi-level problem can be found after reformulating it to a single-level mixed-integer linear problem (MILP) using the strong duality theorem and a special ordered set-type 1 (SOS1) founded linearization approach. Case studies confirm the significance of the devised model and quantitatively analyze the impact of different network capacities, renewable subsidies, and energy storage, respectively, on the market-based HC obeying its profitability constraint.https://www.frontiersin.org/articles/10.3389/fenrg.2022.933295/fullrenewable energy sourcesbi-level optimizationelectricity marketenergy storagegeneration investment planning |
| spellingShingle | Yujian Ye Yujian Ye Huiyu Wang Yi Tang Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration Frontiers in Energy Research renewable energy sources bi-level optimization electricity market energy storage generation investment planning |
| title | Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration |
| title_full | Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration |
| title_fullStr | Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration |
| title_full_unstemmed | Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration |
| title_short | Market-based hosting capacity maximization of renewable generation in power grids with energy storage integration |
| title_sort | market based hosting capacity maximization of renewable generation in power grids with energy storage integration |
| topic | renewable energy sources bi-level optimization electricity market energy storage generation investment planning |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.933295/full |
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