摘要
为提高家用独立光伏发电系统的经济性,提出了一种适用于智能家居的能量管理策略,实施简单,条件明确,经济性高。首先提出前提及基本假设,明确了能量管理策略的基础。其次在原有策略基础上加入峰谷电价这一因素,通过灰色预测或马尔科夫模型利用监测数据预报趋势,减小了光伏发电不稳定因素的影响。最后结合上海市某居民所安装系统,验证了能量管理策略有较高的经济性,5年即可收回投资成本。
In order to improve the economy of independent photovoltaic power systems,an energy management strategy for smart homes was proposed. The strategy is simple to implement with clear conditions and high economy.First,the premise and basic assumption were put forward,and the basis of the energy management strategy was clarified.Additionally,the factor of time-of-use price was taken into consideration. And the trend was predicted by monitoring data through grey prediction or Markov model. It reduces the influence of instability of photovoltaic power. Finally,it was verified by an example in Shanghai that the strategy is profitable,and the investment cost could be recovered in five years.
作者
曾武
孟诗涵
杨睿贤
ZENG Wu, MENG Shihan, YANG Ruixian,(School of Electronic and Electrical Enginering, Shanghai Jiao Tong University, Shanghai 200240, China)
出处
《现代建筑电气》
2018年第9期1-7,共7页
Modern Architecture Electric
基金
2017年(秋季)天煌科技支持教育部产学合作协同育人教学内容和课程体系改革项目(201702064025)
上海交通大学大学生创新计划项目(IPP15063)
关键词
能量管理策略
光伏发电
经济性
智能家居
储能
energy management strategy
photovoltaie power
economy
smart home
energy storage
