Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs
Abstract A broad consensus of neutralizing the carbon dioxide emissions facilitates the transition to the renewable energy power system. Meanwhile, the concerns about the volatility of renewable energies are growing as the rotational inertia of power system becomes inadequate. To maintain the freque...
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| Format: | Article |
| Language: | English |
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Wiley
2024-10-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13085 |
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| author | Naixuan Zhu Pengfei Hu Chongxi Jiang Yanxue Yu Daozhuo Jiang |
| author_facet | Naixuan Zhu Pengfei Hu Chongxi Jiang Yanxue Yu Daozhuo Jiang |
| author_sort | Naixuan Zhu |
| collection | DOAJ |
| description | Abstract A broad consensus of neutralizing the carbon dioxide emissions facilitates the transition to the renewable energy power system. Meanwhile, the concerns about the volatility of renewable energies are growing as the rotational inertia of power system becomes inadequate. To maintain the frequency stability of power system, some studies for configuring inertia energy storage systems (ESSs) are carried out, mainly focusing on the allocation of virtual inertia from grid‐forming ESS. In contrast, the allocation of virtual inertia from grid‐following ESS has not been well elaborated and the differences in virtual inertia provided by these two modes are yet to be revealed. Based on H2‐norm and Kron reduction, firstly, the state‐space model of post‐disturbance system is established, together with the transient performance evaluation. Then the inertia characteristics of both grid‐forming and grid‐following devices are formulated, followed by the unified gradient descent optimization method for allocating virtual inertia. A modified IEEE 39‐bus system and its time‐domain simulations help in the verification of the contribution of this paper. Through the comparative analysis of corresponding optimal results, the conclusions from two aspects are drawn: in terms of transient frequency support, the grid‐forming devices can provide no less than 26% better inertia support; with the higher power capacity and similar energy capacity, the grid‐forming devices can relieve the response pressure of other generators by approximately 77.1%. |
| format | Article |
| id | doaj-art-53c91a7d006d4342b471c12ab48b5ddd |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-53c91a7d006d4342b471c12ab48b5ddd2025-01-10T17:41:03ZengWileyIET Renewable Power Generation1752-14161752-14242024-10-0118142416242910.1049/rpg2.13085Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSsNaixuan Zhu0Pengfei Hu1Chongxi Jiang2Yanxue Yu3Daozhuo Jiang4College of Electrical Engineering Zhejiang University Hangzhou People's Republic of ChinaCollege of Electrical Engineering Zhejiang University Hangzhou People's Republic of ChinaHangzhou Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd. Hangzhou People's Republic of ChinaCollege of Electrical Engineering Zhejiang University Hangzhou People's Republic of ChinaCollege of Electrical Engineering Zhejiang University Hangzhou People's Republic of ChinaAbstract A broad consensus of neutralizing the carbon dioxide emissions facilitates the transition to the renewable energy power system. Meanwhile, the concerns about the volatility of renewable energies are growing as the rotational inertia of power system becomes inadequate. To maintain the frequency stability of power system, some studies for configuring inertia energy storage systems (ESSs) are carried out, mainly focusing on the allocation of virtual inertia from grid‐forming ESS. In contrast, the allocation of virtual inertia from grid‐following ESS has not been well elaborated and the differences in virtual inertia provided by these two modes are yet to be revealed. Based on H2‐norm and Kron reduction, firstly, the state‐space model of post‐disturbance system is established, together with the transient performance evaluation. Then the inertia characteristics of both grid‐forming and grid‐following devices are formulated, followed by the unified gradient descent optimization method for allocating virtual inertia. A modified IEEE 39‐bus system and its time‐domain simulations help in the verification of the contribution of this paper. Through the comparative analysis of corresponding optimal results, the conclusions from two aspects are drawn: in terms of transient frequency support, the grid‐forming devices can provide no less than 26% better inertia support; with the higher power capacity and similar energy capacity, the grid‐forming devices can relieve the response pressure of other generators by approximately 77.1%.https://doi.org/10.1049/rpg2.13085energy storagefrequency stability |
| spellingShingle | Naixuan Zhu Pengfei Hu Chongxi Jiang Yanxue Yu Daozhuo Jiang Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs IET Renewable Power Generation energy storage frequency stability |
| title | Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs |
| title_full | Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs |
| title_fullStr | Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs |
| title_full_unstemmed | Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs |
| title_short | Comparative analysis and optimal allocation of virtual inertia from grid‐forming and grid‐following controlled ESSs |
| title_sort | comparative analysis and optimal allocation of virtual inertia from grid forming and grid following controlled esss |
| topic | energy storage frequency stability |
| url | https://doi.org/10.1049/rpg2.13085 |
| work_keys_str_mv | AT naixuanzhu comparativeanalysisandoptimalallocationofvirtualinertiafromgridformingandgridfollowingcontrolledesss AT pengfeihu comparativeanalysisandoptimalallocationofvirtualinertiafromgridformingandgridfollowingcontrolledesss AT chongxijiang comparativeanalysisandoptimalallocationofvirtualinertiafromgridformingandgridfollowingcontrolledesss AT yanxueyu comparativeanalysisandoptimalallocationofvirtualinertiafromgridformingandgridfollowingcontrolledesss AT daozhuojiang comparativeanalysisandoptimalallocationofvirtualinertiafromgridformingandgridfollowingcontrolledesss |