Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty
With the integration of wind power, photovoltaic, and other new energy into the grid, the growth of carbon emissions has been effectively suppressed, which greatly contributes to the realization of the “Carbon peak, Carbon neutral’’. However, the randomness and instability of new energy generation a...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/53/e3sconf_ogegs2023_01030.pdf |
| _version_ | 1797740273486266368 |
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| author | Wu Shaojiang Lu Min Chen Chongle Xu Baoguang Xie Chuansheng |
| author_facet | Wu Shaojiang Lu Min Chen Chongle Xu Baoguang Xie Chuansheng |
| author_sort | Wu Shaojiang |
| collection | DOAJ |
| description | With the integration of wind power, photovoltaic, and other new energy into the grid, the growth of carbon emissions has been effectively suppressed, which greatly contributes to the realization of the “Carbon peak, Carbon neutral’’. However, the randomness and instability of new energy generation also greatly affect the stable operation of the power grid. At present, the combination of demand response and power system can give full play to the maximum potential of new energy. This is an effective method to realize stable and optimal operation of power system. Based on this, this paper first constructs the SOC output characteristic model of energy storage and considers the DLC and time-of-use price as well as different demand response types. The robust optimization method is used to deal with the uncertainty of demand response. Secondly, a multi-objective function and constraint conditions are constructed to minimize the system planning cost, operation cost, and pollution emission. Finally, the genetic algorithm is used to analyze an example in a certain area of Fujian. In the example, the economy of planning schemes under different robust control parameters is compared and analyzed. The results show that the model and calculation method in this paper are beneficial to delaying the investment in power systems, and can provide decision-making reference for mining and utilizing demand response resources, reducing system planning costs and improving operation efficiency. |
| first_indexed | 2024-03-12T14:10:05Z |
| format | Article |
| id | doaj.art-d839b69307a34f63bf2fd375f81b361a |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T14:10:05Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-d839b69307a34f63bf2fd375f81b361a2023-08-21T09:02:44ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014160103010.1051/e3sconf/202341601030e3sconf_ogegs2023_01030Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response UncertaintyWu Shaojiang0Lu Min1Chen Chongle2Xu Baoguang3Xie Chuansheng4Fujian Shuikou Power Generation Group Co., LtdFujian Shuikou Power Generation Group Co., LtdFujian Shuikou Power Generation Group Co., LtdNorth China Electric Power University, School of Economics and ManagementNorth China Electric Power University, School of Economics and ManagementWith the integration of wind power, photovoltaic, and other new energy into the grid, the growth of carbon emissions has been effectively suppressed, which greatly contributes to the realization of the “Carbon peak, Carbon neutral’’. However, the randomness and instability of new energy generation also greatly affect the stable operation of the power grid. At present, the combination of demand response and power system can give full play to the maximum potential of new energy. This is an effective method to realize stable and optimal operation of power system. Based on this, this paper first constructs the SOC output characteristic model of energy storage and considers the DLC and time-of-use price as well as different demand response types. The robust optimization method is used to deal with the uncertainty of demand response. Secondly, a multi-objective function and constraint conditions are constructed to minimize the system planning cost, operation cost, and pollution emission. Finally, the genetic algorithm is used to analyze an example in a certain area of Fujian. In the example, the economy of planning schemes under different robust control parameters is compared and analyzed. The results show that the model and calculation method in this paper are beneficial to delaying the investment in power systems, and can provide decision-making reference for mining and utilizing demand response resources, reducing system planning costs and improving operation efficiency.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/53/e3sconf_ogegs2023_01030.pdfdemand responserobust optimizationplanning methoduncertainty analysis |
| spellingShingle | Wu Shaojiang Lu Min Chen Chongle Xu Baoguang Xie Chuansheng Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty E3S Web of Conferences demand response robust optimization planning method uncertainty analysis |
| title | Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty |
| title_full | Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty |
| title_fullStr | Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty |
| title_full_unstemmed | Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty |
| title_short | Research on Coordination Planning Model of Source-Grid-Load-Storage Considering Demand Response Uncertainty |
| title_sort | research on coordination planning model of source grid load storage considering demand response uncertainty |
| topic | demand response robust optimization planning method uncertainty analysis |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/53/e3sconf_ogegs2023_01030.pdf |
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