基于NSGA2算法的复合式能源系统的优化与控制

发布时间：2018-10-05 18:27

【摘要】：现如今能源的需求量伴随着社会的不断进步发展也随之变得越来越高。致使出现化石燃料短缺以及环境污染日益恶化等一系列严重问题,为此国家也引起了高度重视,促进能源可持续发展,提高其自身利用率,尽可能的做到节能减排成为研究重点的重中之重。而作为清洁能源的电能以及可再生的可持续能源能够对节能减排起到很重要的作用。为此本文提出将可再生的太阳能与二次清洁能源电能相结合,构建出一个复合式能源系统,考虑到太阳能自身存在着间歇性和随机性的特点,因此将太阳能和空气源热泵以及电锅炉相结合,可以在满足用户日常生活所需的同时也能达到能源利用率高和污染排放低的效果。而在整个系统运行的过程中,需要最大化的利用可再生能源太阳能,尽量减少使用电量,进而最大化的提高整个系统的能效比,而要如何平衡这三项指标将成为我们研究的主要问题。为了对以上提出的多目标优化问题进行处理,本文对多目标复合式能源系统进行了数学建模的建立以及求解的设计,因为传统的多目标优化算法往往是将多目标转换成单目标进行求解因此会丢失很多最优解,并且常规的NSGA2算法存在局部收敛的问题,进而提出将正态分布交叉算子引入到常规的NSGA2中,加强了算法的搜索能力,通过实例分析将经过算法优化的能效比与传统算法以及未经优化的能效比进行对比,发现优化后的系统能效比明显高于实际未优化的能效比值,从而证明了所建立模型和求解算法的正确性和有效性,同时为了验证运用到实际的可行性,使用了MATLAB/SIMULINK进行模型搭建与仿真,为了将已搭建好的控制系统能够更好的应用与实际生活,本文设计了模糊自整定PID控制器对复合式能源系统进行控制,并通过和常规单回路PID以及串级PID比较分析,表明模糊自整定PID算法在超调量、调节时间、稳态误差、抑制干扰能力等方面都具有显著优势。充分体现出了该算法在控制复合式能源系统中的优越性,对进一步研究复合式能源系统的优化和控制具有一定的指导意义和参考价值。
[Abstract]:Nowadays, the demand for energy becomes higher and higher with the development of society. This has led to a series of serious problems, such as the shortage of fossil fuels and the worsening of environmental pollution. For this reason, the country has also attached great importance to promoting the sustainable development of energy and improving its own utilization rate. As far as possible to achieve energy conservation and emission reduction has become the most important research focus. As a clean energy and renewable sustainable energy can play a very important role in energy saving and emission reduction. Therefore, this paper proposes to combine renewable solar energy with secondary clean energy to construct a composite energy system, considering the intermittent and random characteristics of solar energy itself. Therefore, the combination of solar energy, air source heat pump and electric boiler can not only meet the daily needs of users, but also achieve the effect of high energy efficiency and low pollution emission. In the process of operation of the whole system, we need to maximize the use of renewable energy solar energy, reduce the power consumption as far as possible, and then maximize the energy efficiency ratio of the whole system. And how to balance these three indicators will become the main problem we study. In order to deal with the multi-objective optimization problem proposed above, the mathematical modeling and solution design of the multi-objective composite energy system are carried out in this paper. Because the traditional multi-objective optimization algorithm often transforms the multi-objective into a single objective to solve the problem, it will lose a lot of optimal solutions, and the conventional NSGA2 algorithm has the problem of local convergence. Furthermore, the normal distribution crossover operator is introduced into the conventional NSGA2 to enhance the search ability of the algorithm. The optimized EER of the algorithm is compared with the traditional algorithm and the unoptimized EER through an example analysis. It is found that the energy efficiency ratio of the optimized system is obviously higher than that of the actual unoptimized energy efficiency ratio, which proves the correctness and validity of the established model and the algorithm, and at the same time, in order to verify the feasibility of the proposed method, MATLAB/SIMULINK is used for modeling and simulation. In order to better apply and live the established control system, a fuzzy self-tuning PID controller is designed to control the compound energy system. By comparing with conventional single-loop PID and cascade PID, it is shown that the fuzzy self-tuning PID algorithm has significant advantages in overshoot, adjusting time, steady-state error, interference suppression ability and so on. It fully reflects the superiority of the algorithm in the control of composite energy system, and has certain guiding significance and reference value for further research on the optimization and control of compound energy system.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TK01;TP18

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