Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty
Most of the existing contract electricity decomposition methods do not take into account the impact of wind power uncertainty and do not coordinate with the generation plan for optimization, resulting in their insufficient execution when the contract is due. A new cooperative optimization decomposit...
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State Grid Energy Research Institute
2023-12-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305031 |
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| author | Lingjie LIU Jikeng LIN |
| author_facet | Lingjie LIU Jikeng LIN |
| author_sort | Lingjie LIU |
| collection | DOAJ |
| description | Most of the existing contract electricity decomposition methods do not take into account the impact of wind power uncertainty and do not coordinate with the generation plan for optimization, resulting in their insufficient execution when the contract is due. A new cooperative optimization decomposition model and algorithm of short-term contract electricity is therefore proposed with consideration of the wind power uncertainty and maintenance plans. Firstly, a cooperative optimization decomposition model and algorithm of short-term contract electricity is constructed with the objective of minimization of the generation cost, contract deviation cost and low-quality wind power risk cost, to obtain the decomposed daily contract electricity. And then, based on the day-ahead and intraday short-term and ultra-short-term load and wind power forecast information, the day-ahead robust generation plan model and algorithm and the intraday redispatch model and algorithm are constructed respectively with consideration of the contract completion degree, to realize the full accommodation of wind power and full execution of the daily contract electricity with the premise of power load to be fully supplied and the security constraints to be met. Furthermore, the uncompleted daily contract electricity is fulfilled through rolling updating the subsequent daily contract electricity to ensure the full execution of the short contract electricity when the contract is due. The results of case study have demonstrated the feasibility and superiority of the proposed model and algorithm. |
| format | Article |
| id | doaj-art-c977c8a5afba4827afe08ed22309170c |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-12-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-c977c8a5afba4827afe08ed22309170c2025-08-20T02:47:39ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-12-01561222723710.11930/j.issn.1004-9649.202305031zgdl-56-06-liulingjieModel and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power UncertaintyLingjie LIU0Jikeng LIN1Department of Electrical Engineering, Tongji University, Shanghai 201804, ChinaDepartment of Electrical Engineering, Tongji University, Shanghai 201804, ChinaMost of the existing contract electricity decomposition methods do not take into account the impact of wind power uncertainty and do not coordinate with the generation plan for optimization, resulting in their insufficient execution when the contract is due. A new cooperative optimization decomposition model and algorithm of short-term contract electricity is therefore proposed with consideration of the wind power uncertainty and maintenance plans. Firstly, a cooperative optimization decomposition model and algorithm of short-term contract electricity is constructed with the objective of minimization of the generation cost, contract deviation cost and low-quality wind power risk cost, to obtain the decomposed daily contract electricity. And then, based on the day-ahead and intraday short-term and ultra-short-term load and wind power forecast information, the day-ahead robust generation plan model and algorithm and the intraday redispatch model and algorithm are constructed respectively with consideration of the contract completion degree, to realize the full accommodation of wind power and full execution of the daily contract electricity with the premise of power load to be fully supplied and the security constraints to be met. Furthermore, the uncompleted daily contract electricity is fulfilled through rolling updating the subsequent daily contract electricity to ensure the full execution of the short contract electricity when the contract is due. The results of case study have demonstrated the feasibility and superiority of the proposed model and algorithm.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305031wind power uncertaintymaintenance plandecomposition optimization modelrobust generation planrolling update |
| spellingShingle | Lingjie LIU Jikeng LIN Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty Zhongguo dianli wind power uncertainty maintenance plan decomposition optimization model robust generation plan rolling update |
| title | Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty |
| title_full | Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty |
| title_fullStr | Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty |
| title_full_unstemmed | Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty |
| title_short | Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty |
| title_sort | model and algorithm of cooperative optimization decomposition for short term contract electricity considering wind power uncertainty |
| topic | wind power uncertainty maintenance plan decomposition optimization model robust generation plan rolling update |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202305031 |
| work_keys_str_mv | AT lingjieliu modelandalgorithmofcooperativeoptimizationdecompositionforshorttermcontractelectricityconsideringwindpoweruncertainty AT jikenglin modelandalgorithmofcooperativeoptimizationdecompositionforshorttermcontractelectricityconsideringwindpoweruncertainty |