Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units
Due to the randomness, volatility and intermittent nature of wind power, power systems with significant wind penetration face serious “curtailment” problems. The flexibility of a power system is an important factor that affects the large-scale consumption of wind power. Based on...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-08-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/11/9/2195 |
| _version_ | 1811187612149350400 |
|---|---|
| author | Tong Guo Yajing Gao Xiaojie Zhou Yonggang Li Jiaomin Liu |
| author_facet | Tong Guo Yajing Gao Xiaojie Zhou Yonggang Li Jiaomin Liu |
| author_sort | Tong Guo |
| collection | DOAJ |
| description | Due to the randomness, volatility and intermittent nature of wind power, power systems with significant wind penetration face serious “curtailment” problems. The flexibility of a power system is an important factor that affects the large-scale consumption of wind power. Based on this fact, this paper takes into account the economics and flexibility of the system, and proposes an optimal scheduling method that takes the flexibility of each thermal power unit into account. Firstly, a comprehensive evaluation index system of thermal power unit flexibility is designed by an analytic hierarchy process and entropy method. The system covers the technical indexes and economic characteristics of thermal power units and is able to quantitatively evaluate the different types of thermal power units in the system. Secondly, a multi-objective optimization scheduling model involving the overall flexibility of the unit and the total power generation cost is established. Finally, the correctness and effectiveness of the proposed indicators and models are verified by a case study. |
| first_indexed | 2024-04-11T14:06:20Z |
| format | Article |
| id | doaj.art-d63558e67eaf41e7a253779e7bb17fb1 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T14:06:20Z |
| publishDate | 2018-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-d63558e67eaf41e7a253779e7bb17fb12022-12-22T04:19:53ZengMDPI AGEnergies1996-10732018-08-01119219510.3390/en11092195en11092195Optimal Scheduling of Power System Incorporating the Flexibility of Thermal UnitsTong Guo0Yajing Gao1Xiaojie Zhou2Yonggang Li3Jiaomin Liu4State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaDepartment of Electrical Engineering, North China Electric Power University, Baoding 071003, ChinaDepartment of Electrical Engineering, North China Electric Power University, Baoding 071003, ChinaDue to the randomness, volatility and intermittent nature of wind power, power systems with significant wind penetration face serious “curtailment” problems. The flexibility of a power system is an important factor that affects the large-scale consumption of wind power. Based on this fact, this paper takes into account the economics and flexibility of the system, and proposes an optimal scheduling method that takes the flexibility of each thermal power unit into account. Firstly, a comprehensive evaluation index system of thermal power unit flexibility is designed by an analytic hierarchy process and entropy method. The system covers the technical indexes and economic characteristics of thermal power units and is able to quantitatively evaluate the different types of thermal power units in the system. Secondly, a multi-objective optimization scheduling model involving the overall flexibility of the unit and the total power generation cost is established. Finally, the correctness and effectiveness of the proposed indicators and models are verified by a case study.http://www.mdpi.com/1996-1073/11/9/2195high penetration wind powercomprehensive evaluationflexibility evaluationmulti-objective optimization |
| spellingShingle | Tong Guo Yajing Gao Xiaojie Zhou Yonggang Li Jiaomin Liu Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units Energies high penetration wind power comprehensive evaluation flexibility evaluation multi-objective optimization |
| title | Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units |
| title_full | Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units |
| title_fullStr | Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units |
| title_full_unstemmed | Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units |
| title_short | Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units |
| title_sort | optimal scheduling of power system incorporating the flexibility of thermal units |
| topic | high penetration wind power comprehensive evaluation flexibility evaluation multi-objective optimization |
| url | http://www.mdpi.com/1996-1073/11/9/2195 |
| work_keys_str_mv | AT tongguo optimalschedulingofpowersystemincorporatingtheflexibilityofthermalunits AT yajinggao optimalschedulingofpowersystemincorporatingtheflexibilityofthermalunits AT xiaojiezhou optimalschedulingofpowersystemincorporatingtheflexibilityofthermalunits AT yonggangli optimalschedulingofpowersystemincorporatingtheflexibilityofthermalunits AT jiaominliu optimalschedulingofpowersystemincorporatingtheflexibilityofthermalunits |