风光氢蓄混合发电系统的配置及其电池管理研究

发布时间：2018-06-26 20:54

本文选题：优化配置 + 风光互补发电　；参考：《浙江大学》2017年硕士论文

【摘要】：近年来,石化资源不断缩减、环境问题日益严峻,而分布式发电系统显现灵活可靠、经济环保的优点,因此基于可再生能源开发的微电网系统受到越来越多的关注。微电网的优化配置问题对于降低其系统成本、提高供电可靠性很关键。启发式算法在复杂系统优化问题求解中有着并行性、高效性的特点。本文研究一种孤岛运行模式下,基于风能、太阳能、蓄电池和氢气储能的混合发电系统的配置问题,考虑特定环境因素、系统约束条件和优化指标,采用改进的蚁群算法求出系统中各种电力设备的最佳配置数量。本文主要涉及的内容和工作包括:(1)搭建风光氢蓄混合发电系统,并分析各个电力元件的能量转换模型,在此基础上提炼出系统的设备成本、能量浪费成本、氢气所获收益,确立优化配置问题的目标;然后建立自变量约束和系统供电可靠性约束条件。(2)根据系统配置的目标函数最优原则,给出混合发电系统运行时的整体工作策略以及电池的充放电策略。(3)在基本的蚁群算法上,采用实数编码方式并借助排序机制提出一种改进的蚁群算法,将该算法用于求解上述带约束条件的优化问题。本文的创新点包括以下三点:(1)给出混合发电系统的一种更加全面的成本优化模型的数学描述。(2)在混合发电系统的优化配置问题中考虑了新型的分类充放电策略。(3)提出一种实数编码方式的基于排序方法的改进蚁群算法。这三个创新点在风光氢蓄混合发电系统优化配置中发挥积极作用,完善了该配置优化问题中设备模型的综合集成环境,通过设备充放电策略增强了系统运行的可靠性,并建立了快速多维化数字空间的优化求解技术,保证了计算的有效、准确、可靠性。
[Abstract]:In recent years, petrochemical resources continue to shrink, environmental problems become increasingly serious, and distributed generation systems show the advantages of flexibility, reliability, economic and environmental protection. Therefore, the micro-grid system based on renewable energy development has received more and more attention. The optimal configuration of microgrid is very important to reduce the system cost and improve the reliability of power supply. Heuristic algorithm has the characteristics of parallelism and high efficiency in solving complex system optimization problems. In this paper, the configuration of a hybrid power generation system based on wind, solar, battery and hydrogen storage energy under an island operation mode is studied, considering specific environmental factors, system constraints and optimization indexes. An improved ant colony algorithm is used to find out the optimal number of power equipment in the system. The main contents and work of this paper are as follows: (1) build the hybrid solar hydrogen storage power generation system, and analyze the energy conversion model of each power element, and then extract the equipment cost, energy waste cost, and the benefit of hydrogen. The objective of optimal configuration problem is established, and then independent variable constraints and system power supply reliability constraints are established. (2) according to the principle of optimal objective function of system configuration, The overall operation strategy of hybrid generation system and the charging and discharging strategy of battery are given. (3) in the basic ant colony algorithm, an improved ant colony algorithm is proposed by using real number coding method and sorting mechanism. The algorithm is used to solve the above optimization problems with constraints. The innovations of this paper include the following three points: (1) the mathematical description of a more comprehensive cost optimization model for hybrid generation system is given. (2) A new classified charging and discharging strategy is considered in the optimal configuration of hybrid generation system. An improved ant colony algorithm based on sorting method is proposed for real coding. These three innovations play an active role in the optimal configuration of the hybrid solar hydrogen storage generation system. The integrated environment of the equipment model in the configuration optimization problem is improved, and the reliability of the system is enhanced by the charging and discharging strategy of the equipment. The optimization technique of fast multidimensional digital space is established to ensure the efficiency, accuracy and reliability of the calculation.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM61

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