Piecewise affine policy-based stochastic-robust hosting capacity evaluation of rooftop photovoltaics considering lifecycle carbon contribution
•A lifecycle carbon emission-oriented PV hosting capacity evaluation model is developed.•A solution method for stochastic-robust optimization is proposed by simplex approximation-based affine policy. Renewable output curtailment-based hosting capacity improvement provides more carbon contribution by...
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| Veröffentlicht in: | International journal of electrical power & energy systems Jg. 172; S. 111304 |
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| Sprache: | Englisch |
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01.11.2025
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| ISSN: | 0142-0615 |
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| Abstract | •A lifecycle carbon emission-oriented PV hosting capacity evaluation model is developed.•A solution method for stochastic-robust optimization is proposed by simplex approximation-based affine policy.
Renewable output curtailment-based hosting capacity improvement provides more carbon contribution by increasing grid-connected zero-carbon energy. However, it also leads to the growth in carbon emission of unit renewable output due to generation abandonment. To evaluate the maximum low-carbon benefits supported by distribution networks, this paper proposes a rooftop photovoltaics (PVs) hosting capacity optimization model considering lifecycle carbon contribution. Specifically, a two-stage stochastic-robust framework is utilized to depict uncertain external carbon intensity and renewable outputs. The product of multiple decision variables contained in this model brings strong nonlinear characteristics. Therefore, a systematic solution methodology is designed to transform nonlinear stochastic-robust model into mixed-integer second-order cone programming. The product of multiple decision variables in “min–max” operator are solved by leveraging dual transformation, simplex approximation-based piecewise affine policy and McCormick relaxation. Numerical results verify that lifecycle carbon contribution increases more than 20% by renewable output curtailment-based hosting capacity improvement. |
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| AbstractList | •A lifecycle carbon emission-oriented PV hosting capacity evaluation model is developed.•A solution method for stochastic-robust optimization is proposed by simplex approximation-based affine policy.
Renewable output curtailment-based hosting capacity improvement provides more carbon contribution by increasing grid-connected zero-carbon energy. However, it also leads to the growth in carbon emission of unit renewable output due to generation abandonment. To evaluate the maximum low-carbon benefits supported by distribution networks, this paper proposes a rooftop photovoltaics (PVs) hosting capacity optimization model considering lifecycle carbon contribution. Specifically, a two-stage stochastic-robust framework is utilized to depict uncertain external carbon intensity and renewable outputs. The product of multiple decision variables contained in this model brings strong nonlinear characteristics. Therefore, a systematic solution methodology is designed to transform nonlinear stochastic-robust model into mixed-integer second-order cone programming. The product of multiple decision variables in “min–max” operator are solved by leveraging dual transformation, simplex approximation-based piecewise affine policy and McCormick relaxation. Numerical results verify that lifecycle carbon contribution increases more than 20% by renewable output curtailment-based hosting capacity improvement. Renewable output curtailment-based hosting capacity improvement provides more carbon contribution by increasing grid-connected zero-carbon energy. However, it also leads to the growth in carbon emission of unit renewable output due to generation abandonment. To evaluate the maximum low-carbon benefits supported by distribution networks, this paper proposes a rooftop photovoltaics (PVs) hosting capacity optimization model considering lifecycle carbon contribution. Specifically, a two-stage stochastic-robust framework is utilized to depict uncertain external carbon intensity and renewable outputs. The product of multiple decision variables contained in this model brings strong nonlinear characteristics. Therefore, a systematic solution methodology is designed to transform nonlinear stochastic-robust model into mixed-integer second-order cone programming. The product of multiple decision variables in “min–max” operator are solved by leveraging dual transformation, simplex approximation-based piecewise affine policy and McCormick relaxation. Numerical results verify that lifecycle carbon contribution increases more than 20% by renewable output curtailment-based hosting capacity improvement. |
| ArticleNumber | 111304 |
| Author | Lu, Shaohan Liang, Zipeng Li, Junkai Tong, Yishen Xue, Li Liu, Hong Li, Huiqiang Chung, Chi-yung |
| Author_xml | – sequence: 1 givenname: Hong surname: Liu fullname: Liu, Hong organization: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China – sequence: 2 givenname: Shaohan surname: Lu fullname: Lu, Shaohan organization: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China – sequence: 3 givenname: Junkai surname: Li fullname: Li, Junkai email: lijunkai6666@163.com organization: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China – sequence: 4 givenname: Zipeng surname: Liang fullname: Liang, Zipeng email: liangzipeng.ye@163.com organization: The Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China – sequence: 5 givenname: Yishen surname: Tong fullname: Tong, Yishen organization: The State Grid Taikang County Power Supply Company, Taikang 461499, China – sequence: 6 givenname: Huiqiang surname: Li fullname: Li, Huiqiang organization: The State Grid Henan Electric Power Company, Zhengzhou 450003, China – sequence: 7 givenname: Chi-yung surname: Chung fullname: Chung, Chi-yung organization: The Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China – sequence: 8 givenname: Li surname: Xue fullname: Xue, Li organization: The Henan Chenshuo Energy Technology Co., Ltd, Zhengzhou 450000, China |
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| Keywords | Renewable output curtailment PV hosting capacity Lifecycle carbon contribution |
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| Snippet | •A lifecycle carbon emission-oriented PV hosting capacity evaluation model is developed.•A solution method for stochastic-robust optimization is proposed by... Renewable output curtailment-based hosting capacity improvement provides more carbon contribution by increasing grid-connected zero-carbon energy. However, it... |
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| SubjectTerms | Lifecycle carbon contribution PV hosting capacity Renewable output curtailment |
| Title | Piecewise affine policy-based stochastic-robust hosting capacity evaluation of rooftop photovoltaics considering lifecycle carbon contribution |
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