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| Day-ahead scheduling model in wind power integrated system incorporating shiftable load |
| DOI：10.7667/PSPC171229 |
| Key Words:demand response shiftable load wind power day-ahead scheduling |
| Author Name | Affiliation | E-mail | | YU Na | School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China | | | LI Weimeng | School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China | | | HUANG Dawei | School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China | hdw76@163.com | | CHEN Houhe | School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China | | | LI Guoqing | School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China | |
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| Abstract:The high penetration of the wind energy raises a series of complicated issues. The implementation of Demand Response (DR) project is an effective way to deal with these issues. Hence, in this paper, the characteristics of shiftable load are studied, and the shiftable load model is built and incorporated into the scheduling with wind farm to improve the flexibility. On the basis of studying the shiftable load characteristics, considering the influence of the customer’s participation levels in the DR project on the utilization of wind power and the system operation, the scheduling optimization model is established with the minimum the sum of operating cost, environmental cost of the thermal power unit and incentive cost, the model is solved by the commercial software CPLEX. The results of case study show that the DR can decrease the operating cost, reduce the pollutant discharge of the thermal power unit, perfect the load curve and improve the wind power utilization percentage. This work is supported by National Natural Science Foundation of China (No. 51307019, No. 51377016, and No. 51477027). |
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