Multi-objective optimal scheduling strategy for wind power, PV and pumped storage plant in VSC-HVDC grid
- Author(s): Man Xu 1 ; Linlin Wu 1 ; Hui Liu 1 ; Xiao Wang 1
-
-
View affiliations
-
Affiliations:
1:
Grid-connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory, Electric Power Research Institute, State Grid Jibei Electric Power Co., Ltd. , Xicheng District, Beijing , People's Republic of China
-
Affiliations:
1:
Grid-connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory, Electric Power Research Institute, State Grid Jibei Electric Power Co., Ltd. , Xicheng District, Beijing , People's Republic of China
- Source:
Volume 2019, Issue 16,
March
2019,
p.
3017 – 3021
DOI: 10.1049/joe.2018.8435 , Online ISSN 2051-3305
Full text loading...
Inspec keywords: HVDC power transmission; wind power; substations; power generation scheduling; energy consumption; pumped-storage power stations; power generation control; solar power; power grids; voltage-source convertors; wind power plants; HVDC power convertors; photovoltaic power systems
Other keywords: solar power; maximum energy consumption; VSC-HVDC capacity; Beijing; multiobjective optimal scheduling strategy; VSC-HVDC power grid; pumped storage power; day-ahead forecasts; minimum power fluctuation; pumped storage power plant; unit start-up–shutdown; convertor substation; pumped storage unit; Zhangbei demonstration project; t-location scale; pumped storage generation; grid security; renewable energy power; state conversion; PV; wind power; renewable energy generation; maximum renewable energy consumption
Subjects: Wind power plants; Power system protection; d.c. transmission; Pumped storage stations and plants; Solar power stations and photovoltaic power systems; Substations; Power system management, operation and economics; Energy resources
References
-
-
1)
-
1. National Development and Reform Commission: ‘Development planning of renewable energy demonstration area in zhangjiakou city, hebei province’, 2015.
-
-
2)
-
2. Qingran, W., Guohui, X., Lizi, Z.: ‘An integrated generation-consumption dispatch model with wind power’, Autom. Electr. Power Syst., 2011, 35, (5), pp. 15–18.
-
-
3)
-
3. Zechun, H., Huajie, D., Tao, K.: ‘A joint daily operational optimization model for wind power and pumped-storage plant’, Autom. Electr. Power Syst., 2012, 36, (2), pp. 36–41.
-
-
4)
-
4. Garcia-Gonzalez, J., Muela, R.M.R.D.L., Santos, L.M., et al: ‘Stochastic joint optimization of wind generation and pumped-storage units in an electricity market’, IEEE Trans. Power Syst., 2008, 23, (2), pp. 460–468.
-
-
5)
-
5. Castronuovo, E.D., Lopes, J.A.P.: ‘Optimal operation and hydro storage sizing of a wind–hydro power plant’, Int. J. Electr. Power Energy Syst., 2004, 26, (10), pp. 771–778.
-
-
6)
-
6. Boming, Z., Wenchuan, W., Taiyi, Z., et al: ‘Design of a multi-time scale coordinated active power dispatching system for accommodating large scale wind power penetration’, Autom. Electr. Power Syst., 2011, 35, (1), pp. 1–6.
-
-
7)
-
7. Deyou, L., Zhizhong, T., Feng, W.: ‘Study on combined system with wind power and pumped storage power’, Water Resour. Power, 2006, 24, (6), pp. 39–42.
-
-
8)
-
8. Mao, Y., Gang, D.: ‘Wind power probability prediction based on t location-scale distribution’, Electr. Power, 2017, 50, (1), pp. 140–145.
-
-
9)
-
9. Bin, X.: ‘Research and application of multi-objective optimization algorithms base on differential evolution’. PhD thesis, ECUST, 2013.
-
-
10)
-
10. Huancai, H.: ‘Research on unit commitment problem based on original-dual interior point method and mixed integer programming’, Guizhou Electr. Power Technol., 2013, 16, (11), pp. 42–46.
-
-
1)
Related content
