A two-stage SCUC model for distribution networks considering uncertainty and demand response
Demand response (DR) is one of the most effective and economical methods for power operators to improve network reliability in face of uncertainty and emergencies. In this paper, considering the uncertainty of wind power output and the failure of power system components, a two-stage security-constra...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023073978 |
| _version_ | 1797646610346278912 |
|---|---|
| author | Fei Wang Lei Gan Pengchao Zhang |
| author_facet | Fei Wang Lei Gan Pengchao Zhang |
| author_sort | Fei Wang |
| collection | DOAJ |
| description | Demand response (DR) is one of the most effective and economical methods for power operators to improve network reliability in face of uncertainty and emergencies. In this paper, considering the uncertainty of wind power output and the failure of power system components, a two-stage security-constrained unit commitment (SCUC) model is established by optimizing the real-time pricing mechanism to indirectly adjust the DR. Firstly, the uncertainty of wind power output is modeled based on self-organizing map (SOM), and the component failure of the power system is modeled based on Monte Carlo. Then, a pricing scheme is proposed to stimulate users' electricity consumption behavior. Finally, the marine predator algorithm is used to solve the problem. Simulation results on IEEE-RTS system show that the proposed method can reduce the total operating cost by 10%, effectively stimulate the electricity consumption behavior of users, to improve the peak load shifting and valley filling capacity of the power system. |
| first_indexed | 2024-03-11T15:04:08Z |
| format | Article |
| id | doaj.art-ba3d1b62831d4db0baca580e380b8861 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-11T15:04:08Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-ba3d1b62831d4db0baca580e380b88612023-10-30T06:05:29ZengElsevierHeliyon2405-84402023-10-01910e20189A two-stage SCUC model for distribution networks considering uncertainty and demand responseFei Wang0Lei Gan1Pengchao Zhang2State Grid Hubei Jingmen Power Supply Company, Jingmen 448000, China; Corresponding author.State Grid Hubei Shiyan Power Supply Company, Shiyan, 442000, ChinaState Grid Hubei Xiangyang Power Supply Company, Xiangyang, 441000, ChinaDemand response (DR) is one of the most effective and economical methods for power operators to improve network reliability in face of uncertainty and emergencies. In this paper, considering the uncertainty of wind power output and the failure of power system components, a two-stage security-constrained unit commitment (SCUC) model is established by optimizing the real-time pricing mechanism to indirectly adjust the DR. Firstly, the uncertainty of wind power output is modeled based on self-organizing map (SOM), and the component failure of the power system is modeled based on Monte Carlo. Then, a pricing scheme is proposed to stimulate users' electricity consumption behavior. Finally, the marine predator algorithm is used to solve the problem. Simulation results on IEEE-RTS system show that the proposed method can reduce the total operating cost by 10%, effectively stimulate the electricity consumption behavior of users, to improve the peak load shifting and valley filling capacity of the power system.http://www.sciencedirect.com/science/article/pii/S2405844023073978Demand response (DR)UncertaintyComponent failure of power systemMarine predator algorithm |
| spellingShingle | Fei Wang Lei Gan Pengchao Zhang A two-stage SCUC model for distribution networks considering uncertainty and demand response Heliyon Demand response (DR) Uncertainty Component failure of power system Marine predator algorithm |
| title | A two-stage SCUC model for distribution networks considering uncertainty and demand response |
| title_full | A two-stage SCUC model for distribution networks considering uncertainty and demand response |
| title_fullStr | A two-stage SCUC model for distribution networks considering uncertainty and demand response |
| title_full_unstemmed | A two-stage SCUC model for distribution networks considering uncertainty and demand response |
| title_short | A two-stage SCUC model for distribution networks considering uncertainty and demand response |
| title_sort | two stage scuc model for distribution networks considering uncertainty and demand response |
| topic | Demand response (DR) Uncertainty Component failure of power system Marine predator algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023073978 |
| work_keys_str_mv | AT feiwang atwostagescucmodelfordistributionnetworksconsideringuncertaintyanddemandresponse AT leigan atwostagescucmodelfordistributionnetworksconsideringuncertaintyanddemandresponse AT pengchaozhang atwostagescucmodelfordistributionnetworksconsideringuncertaintyanddemandresponse AT feiwang twostagescucmodelfordistributionnetworksconsideringuncertaintyanddemandresponse AT leigan twostagescucmodelfordistributionnetworksconsideringuncertaintyanddemandresponse AT pengchaozhang twostagescucmodelfordistributionnetworksconsideringuncertaintyanddemandresponse |