基于灰色定权聚类的变电站光伏发电利用优化
Optimization of Photovoltaic Power Generation Utilization in Substations Based on Grey Fixed-Weight Clustering
黄剑 1章剑光 1章鑫 1戴伟炎 1胡海刚 1张磊1
作者信息
- 1. 国网浙江省电力有限公司绍兴供电公司,浙江绍兴 312000
- 折叠
摘要
为实现综合能源电网变电站工程中光伏发电利用最大化,研究一种基于灰色定权聚类的变电站光伏发电利用优化方法.建立多目标双层联合优化模型;结合光伏输出功率、能源分配系数、爬坡功率等设定约束条件;通过灰色定权聚类方法计算和分析目标函数的相关指标,来判断综合能源状态,实现变电站光伏发电利用最优化设计.测试结果表明:该方法能够提升各个光伏阵列的就地消纳率,其均值高达92.1%左右,弃光率均低于 7%,综合诊断结果为 0.817,节点电压均值低于 1.1 pu,保证了节点电压的稳定性,进而保证了电压质量,实现了太阳能的最大化利用.
Abstract
To maximize the utilization of photovoltaic power generation in the substation project of an integrated energy grid,an optimization method of photovoltaic power generation utilization in substations based on grey fixed-weight clustering is studied in this paper.First,a multi-objective double-layer joint optimization model is established.Second,constraints are set based on photovoltaic output power,energy distribution coefficient,climbing power,etc.,and finally the relevant indicators of the objective function are calculated and analyzed with the gray fixed-weight clustering method to judge the comprehensive energy status and realize the optimal design of photovoltaic power generation utilization in substations.The test results show that this method improves the local absorption rate of each photovoltaic array,and the average value reaches about 92.1%;the light rejection rate is lower than 7%,and the comprehensive diagnosis result is 0.817,and the average node voltage is below 1.1 pu,which ensures the stability of the node voltage,thereby ensuring the voltage quality,and realizing the maximum utilization of solar energy.
关键词
灰色定权聚类/变电站工程/双层联合优化/综合能源状态/就地消纳率Key words
grey weighting clustering/substation engineering/two-level joint optimization/comprehensive energy state/local absorption rate引用本文复制引用
基金项目
国网浙江省电力有限公司科技项目(1511SX170006H)
出版年
2024
NETL
NSTL
万方数据