Robust Transmission Expansion Planning Incorporating Demand Response and N-1 Contingency
| Autor: | Qian-wei Zheng, Ju Liu, Xiao-meng Ai, Ling-ling Le, Dong-jun Yang, Zhang Menglin, Jin-yu Wen |
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| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Wind power Computer science business.industry 020209 energy Reliability (computer networking) 02 engineering and technology Investment (macroeconomics) Demand response 020401 chemical engineering Transmission (telecommunications) Robustness (computer science) Transmission line 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering Contingency business |
| Zdroj: | Publons |
| ISSN: | 2475-8833 |
| Popis: | Demand response is becoming a rational option to guarantee system reliability and reduce the investment. To tackle the possible overload caused by wind power uncertainty and N-1 contingency, a stochastic mixed integer linear programming model is proposed first. In addition, extreme scenario method is utilized to guarantee the robustness of planning scheme. The proposed method is validated in the modified Garver 6-bus system with practical scenario input. The simulation results demonstrate that the demand response helps to relieve the power flow overload and reducing transmission line investment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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