Multi-power Combined Optimal Dispatch Operation Model Based on Wind-Nuclear Coordination

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Li, Yonggang^1 ; Zhang, Xuanrui^1 ; Liu, Yuqin^1 ; Liu, Huazhi^1 ; Yue, Ziyi^1

North China Electric Power University, Baoding

071000, China^1

关键词: Coordinated operation;    Objective functions;    Optimization scheduling;    Particle swarm algorithm;    Peak-shaving capacity;    Problems and challenges;    Pumped storage power station;    Wind power curtailments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042159/pdf
DOI  :  10.1088/1755-1315/170/4/042159

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Multi-power coordinated operation under the background of promoting renewable energy poses new problems and challenges for grid dispatching, the study of the optimization scheduling of wind turbine (WT)-thermal power generator unit (TPGU)-nuclear power plant (NPP)-pumped storage power station (PSPS) has great significance. We propose a combined mode of WT and NPP, NPP adopts the operation mode of ″12-3-6-3″. When NPP operates in a fixed manner, WT outputs as much as possible, the task of peak-shaving is mainly completed by TPGU and PSPS. The wind power curtailment condition will only happen in the case of absence of peak shaving capacity. Taking the effects of the uncertainty of wind power, the operation mode of NPP and PSPS into account, and a scheduling model was established which the objective functions are both the maximum capacity of wind power consumption and the minimum system costs. The particle swarm algorithm was used to solve this model. We used the power network dispatching date of Chinese province to verify the effectiveness of the model. The result shows it can reduce the purchase cost of the grid and improve the ability of wind power consumption.