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基于可时移农业负荷的光伏智慧农业大棚微型能源网优化调度
王维洲1, 刘福潮1, 杨建华2, 郑晶晶1, 杨勇1, 张建华1
0
(1.国家电网公司 甘肃省电力公司电力科学研究院, 兰州 730050;2.中国农业大学 信息与电气工程学院, 北京 100083)
摘要:
针对甘肃省分布式光伏电能远距离传输通道不足,大量光伏电能集中并网影响农村电网可靠性和稳定性的问题,提出对甘肃省传统农业大棚及其供能系统进行智慧化改造的方案,实现光伏电能的就地消纳,构建基于可时移农业负荷的光伏智慧农业大棚微型能源网。采用数学建模的方法对微源和负荷进行精准建模研究,并采用变学习因子的二阶振荡文化粒子群求解算法对微型能源网经济调度模型进行求解,最后对负荷时移前后各供能设备的出力和日综合费用进行了对比。仿真结果表明:对可时移负荷进行调度可以降低系统日综合运行成本,单日成本下降了7.3%。本研究所建模型和提出的算法可以有效实现微型能源网多种能量流的经济合理利用。
关键词:  智慧农业大棚  微型能源网  二阶振荡文化粒子群算法  可时移农业负荷
DOI:10.11841/j.issn.1007-4333.2018.06.18
投稿时间:2017-07-18
基金项目:国网科技项目(SGGSKY00JNJS1600083)
Optimization of the micro energy grid of PV intelligent agricultural greenhouse based on time-shifting agricultural load
WANG Weizhou1, LIU Fuchao1, YANG Jianhua2, ZHENG Jingjing1, YANG Yong1, ZHANG Jianhua1
(1.Gansu Provincial Electric Power Research Institute, State Grid Corporation of China, Lanzhou 730050, China;2.College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China)
Abstract:
Because of the shortage of long-distance transmission channel of Gansu provincial distributed PV energy, heavily concentrated grid-connected PV power impacts the reliability and stability of rural power grid.In order to solve this problem, the traditional agricultural greenhouse in Gansu Province and its energy supply system are intelligently reformed.A PV intelligent agricultural greenhouse micro energy grid based on time-shifting agricultural load is built.An accurate calculation model for microsource and thermal load in greenhouse is constructed.The results showed that the economic dispatch model of micro energy grid is solved by the second-order oscillating culture particle swarm optimization algorithm of learning factor.This study compares the scheduling outputs of microsource before and after time-shifting control of agricultural load and the daily integrated cost.The simulation proves that the scheduling of the time-shifting load can reduce the system daily integrated cost.The cost is reduced by 7.3%.The proposed model and algorithm can effectively realize the economical and rational utilization of various energy flows.
Key words:  intelligent agricultural greenhouse  micro energy grid  second-order oscillating culture particle swarm optimization algorithm  time-shifting agricultural load