含压缩空气的复合储能系统能量管理策略研究

发布时间：2018-03-06 13:12

本文选题：冷热电联供　切入点：微电网　出处：《山东大学》2017年硕士论文　论文类型：学位论文

【摘要】：冷热电联供型微网的发展是分布式新能源发电的必然要求,为分布式电源有效利用和大规模接入的电网,同时提升电网电能质量和满足用户多种用能需求提供了解决方案。而压缩空气储能系统具有冷热电联供特性,对于接入CCHP微网具有独特优势。本文搭建含压缩空气的复合储能系统,为冷热电联供型微网提供一种兼具储能容量和储能密度、环境友好且能实现能量梯级利用的储能方式。本文首先对蓄电池和超级电容的储能特性做了简要分析,在压缩空气储能模块的结构设计方面,加入换热模块,实现多级回热,既避免了储能系统对化石燃料的依赖,又提升了系统储能效率。然后,设计了三种储能方式结合的复合储能系统整体结构。复合储能系统的构建,为CCHP微网提供了一种大容量、快速响应、长寿命、高可靠性且满足多种能量需求的储能方式。压缩空气储能系统本身是一个涉及多种能量形式互相转化且结构复杂的系统。本文在压缩空气储能系统热力学分析方面,将系统分为压缩、换热、膨胀等主要环节进行分析,研究多种能量形式的转换和各个环节能效。系统冷、热、电三种能量形式相互独立又互相影响,其分配方式会直接影响系统的综合效率,所以需要在不同工况下,根据用户对冷热电的不同需求,对系统能量进行有效管理。复合储能系统研究的重点是能量管理和控制策略。本文将充分考虑冷热电梯级利用,提升系统综合效率。在控制策略上,采用主动储能形式,首先采用最优裁剪学习机法对分布式能源发电功率进行多时间尺度预测,并根据微网调度功率确定储能目标功率,然后通过经验模态分解(EMD)法,结合风机功率、冷热电负荷、各储能单元效率、容量配置成本、SOC等约束,对压缩空气储能、蓄电池、超级电容三种储能方式目标功率进行分配。在得到压缩空气储能目标功率后,根据微网对冷热电动负荷情况,对系统进行有效能量管理,以此提升了复合储能系统综合效率,且尽可能的满足了用户对不同能量形式的需求。最后,在复合储能实验平台的监测与控制方面,设计了基于LabVIEW和MATLAB联合的上位监控系统。实现了系统的实时监测,并将控制策略转换为实时控制信号,对复合储能实验平台进行了有效的能量管理。
[Abstract]:The development of cogeneration microgrid is the inevitable requirement of distributed new energy generation. At the same time, it provides a solution to improve the power quality of power grid and meet the multiple energy needs of users. The compressed air energy storage system has the characteristics of combined cooling and heat supply. In this paper, a composite energy storage system with compressed air is set up to provide both energy storage capacity and energy storage density for the combined cooling and heat supply microgrid. In this paper, the energy storage characteristics of storage battery and super capacitor are analyzed briefly. In the structural design of compressed air energy storage module, heat transfer module is added to realize multistage heat recovery. It not only avoids the dependence of the energy storage system on fossil fuels, but also improves the energy storage efficiency of the system. Then, the whole structure of the composite energy storage system is designed, which combines three energy storage methods. The construction of the composite energy storage system provides a large capacity for the CCHP microgrid. Quick response, long life, The compressed air energy storage system itself is a system involving a variety of energy forms and complex structure. In this paper, the thermodynamic analysis of compressed air energy storage system is presented. The system is divided into compression, heat transfer, expansion and other main links to analyze, to study the conversion of various energy forms and energy efficiency of each link. Its distribution mode will directly affect the overall efficiency of the system, so it needs to be in different working conditions, according to the different needs of users for cooling and heating electricity, The research of compound energy storage system is focused on energy management and control strategy. In this paper, the utilization of cold and hot elevators is fully considered to improve the overall efficiency of the system. In the control strategy, active energy storage is adopted. First, the distributed energy generation power is forecasted by multi-time scale with the optimal cutting learning machine method, and the energy storage target power is determined according to the micro-grid dispatching power. Then, by empirical mode decomposition (EMD) method, combined with the fan power, the cooling and thermal power load is obtained. The target power of compressed air energy storage, storage battery and super capacitor is distributed by the constraints of efficiency, capacity configuration cost and SOC of each energy storage unit. After the target power of compressed air energy storage is obtained, According to the situation of microgrid to the electric load of cold and heat, the effective energy management is carried out to improve the comprehensive efficiency of the composite energy storage system, and to meet the needs of the user for different energy forms as much as possible. Finally, In the aspect of monitoring and control of the compound energy storage experiment platform, the upper monitoring system based on LabVIEW and MATLAB is designed. The real-time monitoring of the system is realized, and the control strategy is converted into the real-time control signal. Effective energy management is carried out on the experimental platform of composite energy storage.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TK02;TM727

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