基于多代理系统的家庭用电仿真研究

发布时间：2018-01-07 02:15

本文关键词：基于多代理系统的家庭用电仿真研究　出处：《华中科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：中国居民生活用电负荷占据全社会用电量的12%，并且伴随着经济的快速发展和人民生活水平的提高每年以大约10%的增长率稳定快速地增长，因此居民用电领域的节能增效和电力需求侧管理具有巨大的空间。未来智能电网对信息技术的广泛集成将为电力需求侧管理开辟广阔发展前景，迫于环境压力和能源价格上涨，大规模可再生能源接入电网已经成为必然趋势，电力需求侧管理不仅能够实现传统电网运行所期望的“削峰填谷”而且可以辅助应对可再生能源的发电间歇性问题，设计合理的电力市场，充分发挥电力需求侧管理的优势，可以提高电力资产的利用率和电力消费者的市场参与度，研发具有模拟电力消费者行为模式功能的仿真工具对于电力市场环境下的需求侧管理具有重要意义。多代理系统是一种模拟人类社会的运行机制解决复杂问题的一种方法，本文基于多代理仿真技术使用RStudio软件和C++语言开发了居民用电仿真软件包SimulateurCdC，将每个家庭视作独立产生用电日程的仿真代理单元，根据欧盟能效标识系统，对于常见的家用电器包括电视机，电炉，洗碗机，洗衣机，电烤箱，电灯，电冰箱，电冰柜，家用电脑，泳池设备，空调，电暖器的电力消耗进行了建模分析，合理使用法国国家统计局，法国电力公司，气象和REMODECE项目数据库，通过数据挖掘技术和数理统计方法，提取了冬季居民电暖器的特征参数，利用公用路灯开关时刻表对路灯电力消耗进行了仿真计算，结果表明软件包具备模拟全年居民电力消耗日程和总负荷曲线的功能。提出了一种利用EvaluationCdC软件包改善仿真精度的方法。利用microbenchmark软件包，对仿真耗时进行统计分析显示，计算1000个家庭的用电日程和总负荷曲线只需约130s的时间，，模拟的总负荷曲线逼近实测曲线形状，说明了该软件包的快速仿真优势。
[Abstract]:With the rapid development of the economy and the improvement of the people's living standard, the power consumption of Chinese residents accounts for 12 percent of the whole society's electricity consumption, and it grows steadily and rapidly with the growth rate of about 10% each year. Therefore, there is a huge space for energy saving and efficiency improvement and demand-side management in the field of household electricity consumption. In the future, the wide integration of information technology in smart grid will open up a broad development prospect for DSM. Due to environmental pressure and rising energy prices, large-scale renewable energy access to the grid has become an inevitable trend. DSM can not only realize the "peak cutting and valley filling" expected by traditional power grid operation, but also help to deal with the intermittent problem of renewable energy generation and design a reasonable electricity market. Giving full play to the advantages of DSM can improve the utilization rate of power assets and the market participation of power consumers. Research and development of simulation tools with the function of simulating power consumer behavior mode is of great significance for demand-side management in power market environment. Multi-agent system is a method to simulate the operation mechanism of human society to solve complex problems. In this paper, based on multi-agent simulation technology, SimulateurCdC is developed by using RStudio software and C language. Consider each home as a simulation agent unit that independently generates electricity schedules, according to the European Union Energy efficiency labeling system, for common household appliances including televisions, electric stoves, dishwashers, washing machines, electric ovens, and electric lights. The electricity consumption of refrigerators, electric freezers, home computers, swimming pool equipment, air conditioners and electric heaters is modeled and analyzed. Weather and REMODECE project database, through data mining technology and mathematical statistics method, extracted the characteristic parameters of residential heater in winter. The electric power consumption of the street lamp is simulated by using the public street lamp switch timetable. The results show that the software package has the function of simulating the whole year's residential power consumption schedule and total load curve. A method of improving the simulation accuracy by using EvaluationCdC software package is presented. Micr is used to improve the simulation accuracy. Obenchmark software package. The statistical analysis of the simulation time shows that it takes only about 130s to calculate the power schedule and total load curve of 1000 households, and the simulated total load curve approximates the measured curve shape. The fast simulation advantage of this software package is explained.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73

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