Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties
[Objective] A robust multi-stage planning model is established for a park-level integrated energy system （PIES） to minimize the total life-cycle present-value cost while considering source-load uncertainties， optimal construction sequencing， and tiered carbon trading to enhance economic efficiency a...
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Editorial Department of Electric Power Construction
2025-04-01
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| Series: | Dianli jianshe |
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| Online Access: | https://www.cepc.com.cn/fileup/1000-7229/PDF/1743057868101-1704610493.pdf |
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| author | JIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian |
| author_facet | JIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian |
| author_sort | JIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian |
| collection | DOAJ |
| description | [Objective] A robust multi-stage planning model is established for a park-level integrated energy system （PIES） to minimize the total life-cycle present-value cost while considering source-load uncertainties， optimal construction sequencing， and tiered carbon trading to enhance economic efficiency and low-carbon benefits. [Methods] First， a box-type uncertainty set is used to model the source-load uncertainty and uncertainty adjustment parameters are introduced to reduce the conservatism of PIES planning and obtain a two-stage robust optimization （TSRO） model. Both discrete and continuous variables are included in the second-stage decision variables of the TSRO model， facilitating directly solving the second-stage problem using Lagrangian duality theory. Instead， an additional nested layer is required to solve the model. Therefore， this paper employs the nested column-and-constraint generation （NC&CG） algorithm to solve the model. [Results] Simulation results show that the robust programming model can improve the robustness of the system by sacrificing the economic and low-carbon benefits of the system to a certain extent and can flexibly adjust the robustness of the PIES planning scheme by changing the value of the uncertainty parameters. [Conclusions] The proposed multi-stage planning approach accounts for load growth and source-load uncertainties from a long-term system development perspective， thereby improving the flexibility and adaptability of the planning scheme. |
| format | Article |
| id | doaj-art-d9c6f6ff1eb245dbb543d4071c654df0 |
| institution | OA Journals |
| issn | 1000-7229 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Editorial Department of Electric Power Construction |
| record_format | Article |
| series | Dianli jianshe |
| spelling | doaj-art-d9c6f6ff1eb245dbb543d4071c654df02025-08-20T01:50:07ZzhoEditorial Department of Electric Power ConstructionDianli jianshe1000-72292025-04-014649911210.12204/j.issn.1000-7229.2025.04.009Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load UncertaintiesJIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian01. Polytechnic Institute， Zhejiang University， Hangzhou 310015， China;2. School of Electrical Engineering， Zhejiang University， Hangzhou 310027， China;3. Hangzhou Sunrise Technology Co.， Ltd.， Hangzhou 311121， China[Objective] A robust multi-stage planning model is established for a park-level integrated energy system （PIES） to minimize the total life-cycle present-value cost while considering source-load uncertainties， optimal construction sequencing， and tiered carbon trading to enhance economic efficiency and low-carbon benefits. [Methods] First， a box-type uncertainty set is used to model the source-load uncertainty and uncertainty adjustment parameters are introduced to reduce the conservatism of PIES planning and obtain a two-stage robust optimization （TSRO） model. Both discrete and continuous variables are included in the second-stage decision variables of the TSRO model， facilitating directly solving the second-stage problem using Lagrangian duality theory. Instead， an additional nested layer is required to solve the model. Therefore， this paper employs the nested column-and-constraint generation （NC&CG） algorithm to solve the model. [Results] Simulation results show that the robust programming model can improve the robustness of the system by sacrificing the economic and low-carbon benefits of the system to a certain extent and can flexibly adjust the robustness of the PIES planning scheme by changing the value of the uncertainty parameters. [Conclusions] The proposed multi-stage planning approach accounts for load growth and source-load uncertainties from a long-term system development perspective， thereby improving the flexibility and adaptability of the planning scheme.https://www.cepc.com.cn/fileup/1000-7229/PDF/1743057868101-1704610493.pdfpark-level integrated energy system|source-load uncertainties|multi-stage planning|nested column and constraint generation algorithm |
| spellingShingle | JIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties Dianli jianshe park-level integrated energy system|source-load uncertainties|multi-stage planning|nested column and constraint generation algorithm |
| title | Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties |
| title_full | Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties |
| title_fullStr | Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties |
| title_full_unstemmed | Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties |
| title_short | Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties |
| title_sort | robust multi stage planning of park level integrated energy system considering source load uncertainties |
| topic | park-level integrated energy system|source-load uncertainties|multi-stage planning|nested column and constraint generation algorithm |
| url | https://www.cepc.com.cn/fileup/1000-7229/PDF/1743057868101-1704610493.pdf |
| work_keys_str_mv | AT jiangxunpubaozhejingyumiaoguochuangxinguoyuanyuewangjian robustmultistageplanningofparklevelintegratedenergysystemconsideringsourceloaduncertainties |