A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants
More renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-09-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/9/2420 |
| _version_ | 1828365106514231296 |
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| author | Haiteng Han Hantao Cui Shan Gao Qingxin Shi Anjie Fan Chen Wu |
| author_facet | Haiteng Han Hantao Cui Shan Gao Qingxin Shi Anjie Fan Chen Wu |
| author_sort | Haiteng Han |
| collection | DOAJ |
| description | More renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and the participants’ marketable behavior. Thus, how to coordinate integrated renewable resources in the electricity market environment has gained increasing interest. In this paper, a bilevel bidding model for load serving entities (LSEs) considering grid-level energy storage (ES) and virtual power plant (VPP) is established in the day-ahead (DA) market. Then, the model is extended by considering contingencies in the intraday (ID) market. Also, according to the extended bidding model, a remedial strategic rescheduling approach for LSE’s daily profit is proposed. It provides a quantitative assessment of LSE’s loss reduction based on contingency forecasting, which can be applied to the power system dispatch to help LSEs deal with coming contingencies. Simulation results verify the correctness and effectiveness of the proposed method. |
| first_indexed | 2024-04-14T05:25:25Z |
| format | Article |
| id | doaj.art-8991cb31055843498dd2ae8c91737277 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T05:25:25Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-8991cb31055843498dd2ae8c917372772022-12-22T02:10:00ZengMDPI AGEnergies1996-10732018-09-01119242010.3390/en11092420en11092420A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power PlantsHaiteng Han0Hantao Cui1Shan Gao2Qingxin Shi3Anjie Fan4Chen Wu5School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaElectrical Engineering and Computer Science Department, University of Tennessee, Knoxville, TN 37996, USASchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaElectrical Engineering and Computer Science Department, University of Tennessee, Knoxville, TN 37996, USASchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing 211100, ChinaMore renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and the participants’ marketable behavior. Thus, how to coordinate integrated renewable resources in the electricity market environment has gained increasing interest. In this paper, a bilevel bidding model for load serving entities (LSEs) considering grid-level energy storage (ES) and virtual power plant (VPP) is established in the day-ahead (DA) market. Then, the model is extended by considering contingencies in the intraday (ID) market. Also, according to the extended bidding model, a remedial strategic rescheduling approach for LSE’s daily profit is proposed. It provides a quantitative assessment of LSE’s loss reduction based on contingency forecasting, which can be applied to the power system dispatch to help LSEs deal with coming contingencies. Simulation results verify the correctness and effectiveness of the proposed method.http://www.mdpi.com/1996-1073/11/9/2420energy storagevirtual power plantremedial strategic schedulingmathematical program with equilibrium constraintselectricity market |
| spellingShingle | Haiteng Han Hantao Cui Shan Gao Qingxin Shi Anjie Fan Chen Wu A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants Energies energy storage virtual power plant remedial strategic scheduling mathematical program with equilibrium constraints electricity market |
| title | A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants |
| title_full | A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants |
| title_fullStr | A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants |
| title_full_unstemmed | A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants |
| title_short | A Remedial Strategic Scheduling Model for Load Serving Entities Considering the Interaction between Grid-Level Energy Storage and Virtual Power Plants |
| title_sort | remedial strategic scheduling model for load serving entities considering the interaction between grid level energy storage and virtual power plants |
| topic | energy storage virtual power plant remedial strategic scheduling mathematical program with equilibrium constraints electricity market |
| url | http://www.mdpi.com/1996-1073/11/9/2420 |
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