文章摘要
傅质馨,吴瑞茜,袁越.基于物联网技术的智慧社区多用户光伏电能联合优化[J].电力需求侧管理,2019,21(6):14-19
基于物联网技术的智慧社区多用户光伏电能联合优化
Joint optimization of multi⁃user photovoltaic power in smart community based on Internet of Things technology
投稿时间:2019-08-21  修订日期:2019-09-10
DOI:DOI:10.3969/j.issn.10091831.2019.06.004
中文关键词: 协调机制  能源管理系统  实时电价  光伏发电  联合优化
英文关键词: coordinationmechanism  energymanagementsys⁃tem  real⁃timeprice  photovoltaicpowergeneration  jointoptimization
基金项目:国家自然科学基金项目(51307044);2014年江苏省“六大人才高峰”资助项目(2014-XNY-008)
作者单位
傅质馨 河海大学能源与电气学院南京211100 
吴瑞茜 河海大学能源与电气学院南京211100 
袁越 河海大学能源与电气学院南京211100 
摘要点击次数: 1214
全文下载次数: 669
中文摘要:
      提出了一种智慧社区多用户之间的光伏电量联合优化机制。首先,基于物联网技术给出了智慧社区用户进行电能信息交互的网络架构;然后,在给出了单个用户能量优化调度模型的基础上,对多用户之间的光伏电量联合优化方法进行研究,给出了多用户光伏电量联合优化目标函数,并提出了基于迪杰斯特拉算法及遗传算法的目标函数和求解方法。仿真结果表明了所提出方法的有效性。通过社区内多用户间光伏电能的联合优化调度,实现用户之间的电能互动,从而尽可能降低社区用户的电费,同时最大程度地消纳多余的光伏发电量,减小对电网的影响。
英文摘要:
      A new photovoltaic power joint optimization mech anism among multiusers in smart community is proposed. Firstly,based on the Internet of Things technology, a network architecture for smart community users to exchange energy information is given.Then, the photovoltaic power joint optimization method among multiusers is discussed and studied based on a single?user house hold energy optimal scheduling model. The objective function of joint optimization of multiuser photovoltaic power is proposed and solved with the method of Dijkstra algorithm and genetic algorithm.The simulation results verify the effectiveness of the proposed method. Through the joint optimal dispatch of photovoltaic poweramong multiusers in the community, the interaction between users can be realized, so as to reduce the electricity charges of the users in the family community as much as possible, and at the same time to absorb the excess photovoltaic power generation to the greatest extent, and reduce the impact on the grid.
查看全文   查看/发表评论  下载PDF阅读器
关闭