A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response
Against the backdrop of carbon peaking and carbon neutrality initiatives, industrial parks have the potential to mitigate external electricity procurement and reduce carbon emissions by incorporating photovoltaic and energy storage systems. However, the inherent unpredictability in photovoltaic powe...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1343309/full |
| _version_ | 1797300405768552448 |
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| author | Juhua Hong Linyao Zhang Zhenda Hu Weiwei Lin Yichao Zou |
| author_facet | Juhua Hong Linyao Zhang Zhenda Hu Weiwei Lin Yichao Zou |
| author_sort | Juhua Hong |
| collection | DOAJ |
| description | Against the backdrop of carbon peaking and carbon neutrality initiatives, industrial parks have the potential to mitigate external electricity procurement and reduce carbon emissions by incorporating photovoltaic and energy storage systems. However, the inherent unpredictability in photovoltaic power generation poses notable challenges to the optimal planning of industrial parks. In light of this, the present study proposes a robust planning model for the distribution of photovoltaic and energy storage systems within industrial estates, taking into account uncertainties in photovoltaic output and low-carbon demand response. The primary objective of the model is to minimize the yearly comprehensive cost of the industrial park. It is grounded in the carbon emission flow theory, utilizing dynamic carbon emission factors calculated throughout the year as the pricing basis for real-time electricity rates informed by demand response. Subsequently, historical photovoltaic output data are employed to formulate typical output scenarios and their probability distributions through scenario clustering. These norms and constraints serve to bind the associated uncertainty probabilities. Consequently, a two-stage distribution robust model for the photovoltaic and energy storage system is established, employing a data-driven methodology. The efficacy of the proposed model is substantiated through a case simulation of an industrial park utilizing the CPLEX commercial solver. This approach not only underscores the importance of addressing uncertainties in photovoltaic power generation for industrial park planning but also showcases a practical application of the developed model. |
| first_indexed | 2024-03-07T23:06:43Z |
| format | Article |
| id | doaj.art-162262fcb4ed484c925e55e89eeadacf |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-07T23:06:43Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-162262fcb4ed484c925e55e89eeadacf2024-02-22T04:47:14ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-02-011210.3389/fenrg.2024.13433091343309A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand responseJuhua HongLinyao ZhangZhenda HuWeiwei LinYichao ZouAgainst the backdrop of carbon peaking and carbon neutrality initiatives, industrial parks have the potential to mitigate external electricity procurement and reduce carbon emissions by incorporating photovoltaic and energy storage systems. However, the inherent unpredictability in photovoltaic power generation poses notable challenges to the optimal planning of industrial parks. In light of this, the present study proposes a robust planning model for the distribution of photovoltaic and energy storage systems within industrial estates, taking into account uncertainties in photovoltaic output and low-carbon demand response. The primary objective of the model is to minimize the yearly comprehensive cost of the industrial park. It is grounded in the carbon emission flow theory, utilizing dynamic carbon emission factors calculated throughout the year as the pricing basis for real-time electricity rates informed by demand response. Subsequently, historical photovoltaic output data are employed to formulate typical output scenarios and their probability distributions through scenario clustering. These norms and constraints serve to bind the associated uncertainty probabilities. Consequently, a two-stage distribution robust model for the photovoltaic and energy storage system is established, employing a data-driven methodology. The efficacy of the proposed model is substantiated through a case simulation of an industrial park utilizing the CPLEX commercial solver. This approach not only underscores the importance of addressing uncertainties in photovoltaic power generation for industrial park planning but also showcases a practical application of the developed model.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1343309/fullphotovoltaic uncertaintylow-carbon demand responsetwo-stage distribution robustindustrial park planningCPLEX photovoltaic uncertaintyCPLEX |
| spellingShingle | Juhua Hong Linyao Zhang Zhenda Hu Weiwei Lin Yichao Zou A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response Frontiers in Energy Research photovoltaic uncertainty low-carbon demand response two-stage distribution robust industrial park planning CPLEX photovoltaic uncertainty CPLEX |
| title | A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response |
| title_full | A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response |
| title_fullStr | A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response |
| title_full_unstemmed | A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response |
| title_short | A robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low-carbon demand response |
| title_sort | robust system model for the photovoltaic in industrial parks considering photovoltaic uncertainties and low carbon demand response |
| topic | photovoltaic uncertainty low-carbon demand response two-stage distribution robust industrial park planning CPLEX photovoltaic uncertainty CPLEX |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1343309/full |
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