【作者】 姜杰；

【导师】 谢俊；

【作者基本信息】 南京邮电大学 ， 控制工程（专业学位）， 2016， 硕士

【摘要】 家庭智能用电系统是智能电网实现智能化的重要组成部分,可使传统的家用电器实现全方位的信息交互,优化用户家庭的用电结构,增强用户家居生活的舒适性。本文首先对家庭中各种常见用电器进行详细多方面的调查研究,引入了小规模光伏发电系统装置和电动汽车模块,构建了一个典型的家庭智能用电结构模型。同时,对家庭中可控电器的负荷特性进行归纳整理,实现了可控负荷自身的优化用电方法。然后提出了一种智能家庭用电系统的优化模型及算法。其中优化模型综合考虑了家庭中的刚性负荷、可控负荷及新能源等模块,采用与粒子群算法相结合的思想,在满足用户需求的基础上为用户尽可能的节约用电成本。并用实际案例举例说明该算法模型的可行性与适用性。案例仿真结果表明:非可控负荷在整个调度周期内按用户要求运行,完成工作;可控类型负荷及光伏发电系统在舒适度约束条件下自主优化运行,实现了在高电价时移峰和低电价时填谷的目的。最后,在上述研究成果基础上进一步研究了小规模区域用电网络中恒温可控负荷群的聚合用电调控方法。并采用电热水器负荷举例说明。案例分析结果表明:在负荷群具有良好的状态多样性时,提出的改进型的温度调节方法可以有效地平复温度限制值调整时引起状态组数剧烈波动的情况,能有效的克服了负荷群剧烈波动的现象。更多还原

【Abstract】 Household intelligent power utilization system is an important part of smart grid. That it can make the traditional household appliances to achieve the full range of information exchange, optimize the user’s household electricity structure, enhance user home life more comfortable. Firstly, this paper makes a detailed investigation and research on various kinds of household appliances in the family,introduce a small scale photovoltaic power generation system device and electric vehicle module. Secondly, a typical model of household intelligent power utilization structure is established, the load characteristics of controllable appliance are summarized, and a controllable electrical load optimization method is proposed. Thirdly, an optimization model and algorithm for household intelligent electricity management system is proposed.The optimization model takes into account the non controllable load, controllable load and renewable energy. On the basis of meeting the user’s demand, to save the cost of electricity as much as possible, and use actual case illustrates the feasibility and applicability of the model and algorithm. The simulation results show that, in the entire scheduling period, the non-controllable load is to complete the work according to the needs of users, controllable load and photovoltaic power generation system under comfort constraint conditions is to optimize the operation automatically, the object is to achieve the purpose of peak shaving. Finally, based on the results of these studies, further research aggregate the thermostat controllable load and its control strategy, and use electric water heater load as an example. Simulation results show that the improved temperature control method can overcome the severe fluctuation of the load group.更多还原