智能建筑能量管理系统优化控制模型研究

发布时间：2018-07-09 14:51

本文选题：智能建筑 + 建筑能量管理系统　；参考：《华北电力大学》2017年硕士论文

【摘要】：随着城市化进程的快速发展和大型建筑的不断涌现,建筑能耗占社会总能耗的比重不断增加。据美国能源信息署研究数据显示,建筑能耗占社会总能耗的比重接近40%,前瞻产业研究院数据显示,我国建筑能耗占社会总能耗的比重已达到27.45%,最终还将持续上升至35%左右,建筑节能降耗越来越受到大家的关注并已成为目前迫切需要解决的问题。建筑能量管理系统的任务是在满足室内环境舒适度指标的前提下,对建筑系统内的能量流动进行管理和控制,保证建筑系统安全经济运行。建筑光伏发电功率出力的随机波动、建筑负荷能耗的不确定性、需求侧响应和分时电价等因素是智能电网背景下建筑能量管理系统优化运行面临的新问题,开展智能建筑能量管理系统优化控制模型的研究具有重要的理论意义与应用价值。本论文首先对建筑内各类型电源、负荷及储能装置进行了分类研究,分析了其各自的运行特性并建立了相应的数学模型。其次,分析了影响建筑室内舒适度的主要环境因素并建立了各环境参数的数学模型。第三,利用建筑光伏出力、负荷功率及室外温度的预测值,以最大化建筑系统经济性和室内舒适度为目标,联合日前、日内两个时间尺度建立智能建筑能量管理系统两阶段优化模型。日前优化以最大化系统运行经济性为目标,日内优化则在日前优化的基础上综合考虑系统经济性和用户舒适度建立多目标优化模型。通过两个不同时间尺度的协同优化,以实现多类型电源、负荷及储能的“源-荷-储”多能互补优化运行。算例分析表明,使用该多时间尺度优化方法可以保证优化的实时性,在基本不影响用户舒适度的前提下提高经济性。最后,使用EnergyPlus软件建立建筑三维立体模型,分析室内环境与建筑能耗之间的关系,通过需求侧管理中的直接负荷控制方法在用户允许的范围内通过适当改变室内环境参数来实现建筑系统的节能降耗。将需求侧管理控制策略与电源的优化相结合,从负荷及电源两个角度对建筑能量系统进行优化管理,在几乎不影响用户舒适度的前提下降低建筑能耗,提高建筑系统经济性。采用实际数据的仿真结果表明,使用该优化控制方法在很大程度上降低了建筑能耗,提高了系统的经济性,有效地改善了整个建筑系统的能耗状况及经济成本。
[Abstract]:With the rapid development of urbanization and the emergence of large buildings, the proportion of building energy consumption in the total energy consumption is increasing. According to the research data of the US Energy Information Administration, the proportion of building energy consumption in the total social energy consumption is close to 40 percent. According to the data from the prospective Industrial Research Institute, the proportion of building energy consumption in the total social energy consumption in China has reached 27.455.In the end, it will continue to rise to about 35 percent. More and more attention has been paid to building energy saving and consumption reduction, which has become an urgent problem to be solved. The task of the building energy management system is to manage and control the energy flow in the building system under the premise of satisfying the indoor environment comfort index to ensure the safe and economical operation of the building system. The factors such as random fluctuation of building photovoltaic power output, uncertainty of building load energy consumption, demand-side response and time-sharing price are the new problems in the optimal operation of building energy management system under the background of smart grid. The research on optimal control model of intelligent building energy management system has important theoretical significance and application value. In this paper, the various types of power supply, load and energy storage device in the building are classified, their respective operating characteristics are analyzed and the corresponding mathematical models are established. Secondly, the main environmental factors affecting indoor comfort are analyzed and the mathematical models of each environmental parameter are established. Third, using the forecasted values of building photovoltaic output, load power and outdoor temperature, with the aim of maximizing building system economy and indoor comfort, combining with pre-day, Two-stage optimization model of intelligent building energy management system is established by two-day time scales. The goal of pre-day optimization is to maximize the operating economy of the system, and the multi-objective optimization model is established on the basis of pre-day optimization considering the system economy and user comfort. Through the cooperative optimization of two different time scales, the "source-load-storage" multi-energy optimal operation of multi-type power supply, load and energy storage can be realized. The example analysis shows that the multi-time scale optimization method can guarantee the real-time performance of the optimization and improve the economy without affecting the comfort of the users. Finally, the energy Plus software is used to build a three-dimensional model of the building to analyze the relationship between indoor environment and building energy consumption. Through the direct load control method in demand-side management, the energy saving and consumption reduction of the building system can be realized by changing the indoor environmental parameters properly within the user's permission. Combining the demand-side management control strategy with the optimization of power supply, the building energy system is optimized and managed from two aspects of load and power supply, which can reduce the building energy consumption and improve the economy of the building system without affecting the comfort of the users. The simulation results using the actual data show that the optimal control method can reduce the building energy consumption to a great extent, improve the economy of the system, and effectively improve the energy consumption and economic cost of the whole building system.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU855

【参考文献】