摘要
为解决传统储能方式无法应对风电并网中电能的长期存储问题,将制氢储能引入含风电的微网中,以总投资、弃风损失和负荷缺电率为目标函数,建立考虑制氢储能的微电网容量优化配置模型,结合改进BP神经网络预测风电功率和实际负荷功率,采用多目标粒子群优化算法及单调性分段线性隶属度函数给出最佳容量配置方案。结果表明,微网的最优配置是加装140台电解槽、60台储氢罐和44台燃料电池。该方案成本和负荷缺电率与传统风电场相比分别降低了10%和40%。
This paper aims to address the inability of traditional energy storage methods to cope with the long-term storage of electric energy in wind power grid.The study does this by introducing hydrogen generation energy storage into the micro grid with wind power;and establishing an optimal capacity allocation model of micro grid considering hydrogen generation energy storage by taking total investment,wind abandonment loss and load power loss rate as objective functions;combined with the wind power predicted by the improved BP neural network and the actual load power,producing the optimal capacity allocation scheme using the multi-objective particle swarm optimization algorithm and the monotonic piecewise linear membership function.The results show that the optimal configuration of the micro grid is to install additional 140 electrolytic cells,60 hydrogen storage tanks and 44 fuel cells,enabling a 10%and 40%reduction respectively in the cost and load power loss rate of this scheme,compared with the traditional wind farm.
作者
朱显辉
胡旭
师楠
Zhu Xianhui;Hu Xu;Shi Nan(School of Electrical & Control Engineering, Heilongjiang University of Science & Technology, Harbin 150022, China;Engineering Training & Basic Experiment Center, Heilongjiang University of Science & Technology, Harbin 150022, China)
出处
《黑龙江科技大学学报》
CAS
2021年第3期344-349,共6页
Journal of Heilongjiang University of Science And Technology
基金
黑龙江省普通本科高等学校青年创新人才培养计划项目(UNPYSCT-2017144)
黑龙江省省属高校基本科研业务费项目(2019-KYYWF-0730)。
关键词
微电网
风氢互补
多目标优化
容量配置
microgrid
wind complementary hydrogen
multiobjective optimization
capacity allocation
