Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses
Network losses and congestion have not been considered in the current macro carbon calculation method and carbon flow analysis method for power systems. To achieve precise analysis of carbon emission indicators for power systems, this paper proposes a model to calculate the bus marginal carbon inten...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2024-06-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305075 |
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| _version_ | 1850037883186970624 |
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| author | Jing WU Xuanyu LIU Xiang LI Xiaoyan QI Chengjun LI Zhong ZHANG |
| author_facet | Jing WU Xuanyu LIU Xiang LI Xiaoyan QI Chengjun LI Zhong ZHANG |
| author_sort | Jing WU |
| collection | DOAJ |
| description | Network losses and congestion have not been considered in the current macro carbon calculation method and carbon flow analysis method for power systems. To achieve precise analysis of carbon emission indicators for power systems, this paper proposes a model to calculate the bus marginal carbon intensity (MCI) of power system considering network losses. A MCI model is established based on coal consumption characteristics of thermal power units. Based on AC power flow model, a sensitivity model of network losses is established, and a calculation method is proposed to calculate the bus MCI of power systems. The method is further improved with consideration of network constraints. The IEEE 14-bus test system and a real 500 kV system are used to verify the correctness and applicability of the proposed model. The characteristics of MCI is analyzed under low carbon and non-low carbon dispatch modes. It is found that the positive and negative MCI of a bus is different when considering the network losses. The network factor also causes the differences of MCI of each bus. The model considering network losses can provide more accurate bus MCI information, which can be used to conduct more accurate real-time carbon emission analysis. |
| format | Article |
| id | doaj-art-3ea384a3c57c43ecbbe9e7ecf38fec1b |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2024-06-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-3ea384a3c57c43ecbbe9e7ecf38fec1b2025-08-20T02:56:44ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492024-06-0157621522410.11930/j.issn.1004-9649.202305075zgdl-56-12-wujingResearch and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network LossesJing WU0Xuanyu LIU1Xiang LI2Xiaoyan QI3Chengjun LI4Zhong ZHANG5Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaElectric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, ChinaElectric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, ChinaElectric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaNetwork losses and congestion have not been considered in the current macro carbon calculation method and carbon flow analysis method for power systems. To achieve precise analysis of carbon emission indicators for power systems, this paper proposes a model to calculate the bus marginal carbon intensity (MCI) of power system considering network losses. A MCI model is established based on coal consumption characteristics of thermal power units. Based on AC power flow model, a sensitivity model of network losses is established, and a calculation method is proposed to calculate the bus MCI of power systems. The method is further improved with consideration of network constraints. The IEEE 14-bus test system and a real 500 kV system are used to verify the correctness and applicability of the proposed model. The characteristics of MCI is analyzed under low carbon and non-low carbon dispatch modes. It is found that the positive and negative MCI of a bus is different when considering the network losses. The network factor also causes the differences of MCI of each bus. The model considering network losses can provide more accurate bus MCI information, which can be used to conduct more accurate real-time carbon emission analysis.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305075marginal carbon intensityindirect carbon emissions of network lossmarginal theorycarbon flow theorysensitivity analysis |
| spellingShingle | Jing WU Xuanyu LIU Xiang LI Xiaoyan QI Chengjun LI Zhong ZHANG Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses Zhongguo dianli marginal carbon intensity indirect carbon emissions of network loss marginal theory carbon flow theory sensitivity analysis |
| title | Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses |
| title_full | Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses |
| title_fullStr | Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses |
| title_full_unstemmed | Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses |
| title_short | Research and Modelling of Bus Marginal Carbon Intensity for Power Systems Considering Network Losses |
| title_sort | research and modelling of bus marginal carbon intensity for power systems considering network losses |
| topic | marginal carbon intensity indirect carbon emissions of network loss marginal theory carbon flow theory sensitivity analysis |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305075 |
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