计及碳排放的风-光-抽水蓄能系统容量优化配置方法

Optimal Capacity Configuration Method for Wind-Photovoltaic-Pumped-Storage System Considering Carbon Emission

合理的系统容量配置方案是开发利用可再生能源的重要基础。文中提出了一种并网型风-光-抽水蓄能联合运行系统容量优化配置方法,该方法以成本最低、经济效益最大、碳排放量最小为优化目标建立系统模型,基于中国东南沿海某近陆海岛的真实数据,采用带精英策略的快速非支配排序遗传算法(NSGA-Ⅱ)对模型进行求解。然后,引入灰色关联分析法实现无偏折中策略获取最优容量配置方案。仿真结果表明,联合运行系统能在最大限度利用风能和太阳能的基础上实现连续稳定运行;引入灰色关联分析法决策最优容量配置方案是可行的,且联合运行系统在全项目周期里的碳排放量随着灰色关联度的增大而减小;适当提高风电和光伏发电入网率能够降低系统成本、提高经济效益、减少碳排放量。

A reasonable system capacity configuration scheme is an important basis for the development and utilization of renewable energy.An optimal capacity configuration method for the grid-connected wind-photovoltaic-pumped-storage joint operation system is proposed.The method establishes a system model with the optimization objectives of the minimum cost,the maximum economic benefit and the minimum carbon emission.Based on the real data of a coastal island in southeast China,the model is solved by fast and elitist non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ).Then,grey relational analysis(GRA)is introduced to achieve an unbiased trade-off strategy to obtain the optimal capacity configuration scheme.The results show that the joint operation system can achieve continuous and stable operation on the basis of maximum utilization of wind and solar energy.It is feasible to introduce GRA to determine the optimal capacity configuration scheme,and the carbon emission of the joint operation system in the whole project cycle decreases with the increase of the grey correlation degree.Increasing the access rate of wind and photovoltaic power appropriately can reduce the system cost,improve economic benefits and reduce carbon emission.