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Multi-Objective Optimal Dispatch Considering Wind Power and Interactive Load for Power System
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
Key Laboratory of Wind Power Integration Operation and Control, Gansu Electric Power Corporation Wind Power Corpora-tion Wind Power Technology Center, Lanzhou, China
Key Laboratory of Wind Power Integration Operation and Control, Gansu Electric Power Corporation Wind Power Corpora-tion Wind Power Technology Center, Lanzhou, China
Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou, China
Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou, China
National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou, China
National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou, China
- 1 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
- 2 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
- 3 Key Laboratory of Wind Power Integration Operation and Control, Gansu Electric Power Corporation Wind Power Corpora-tion Wind Power Technology Center, Lanzhou, China
- 4 Key Laboratory of Wind Power Integration Operation and Control, Gansu Electric Power Corporation Wind Power Corpora-tion Wind Power Technology Center, Lanzhou, China
- 5 Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou, China
- 6 Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou, China
- 7 National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou, China
- 8 National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou, China
Energy and Power Engineering·Volume 10 (2018)·Pages 1–10·Published 11 April 2018·DOI10.4236/epe.2018.104B001
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Abstract
With the rapid and large-scale development of renewable energy, the lack of new energy power transportation or consumption, and the shortage of grid peak-shifting ability have become increasingly serious. Aiming to the severe wind power curtailment issue, the characteristics of interactive load are studied upon the traditional day-ahead dispatch model to mitigate the influence of wind power fluctuation. A multi-objective optimal dispatch model with the minimum operating cost and power losses is built. Optimal power flow distribution is available when both generation and demand side participate in the resource allocation. The quantum particle swarm optimization (QPSO) algorithm is applied to convert multi-objective optimization problem into single objective optimization problem. The simulation results of IEEE 30-bus system verify that the proposed method can effectively reduce the operating cost and grid loss simultaneously enhancing the consumption of wind power.
KeywordsWind PowerInteractive LoadOptimal DispatchMulti-ObjectiveQPSO Models
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