综合小区交流微网运行控制及优化配置

发布时间：2018-07-08 12:35

本文选题：配置优化 + 运行优化　；参考：《沈阳工业大学》2017年硕士论文

【摘要】：为了缓解能源危机及满足新能源的需求,由多种分布式电源(DG)、负荷、储能单元和控制装置等构成的微电网系统得到了各国的广泛重视。然而,微网系统中的光伏电池受外界自然因素的影响,其输出能量具有间歇性和随机性的缺点,从而会影响到系统的供电稳定性和可靠性。本文以微网稳定运行为切入点,在Matlab/Simulink仿真环境中构建了光伏电池及其最大功率跟踪控制MPPT、蓄电池、燃气轮机以及PQ,V/f两种控制策略的仿真模型;分析了PQ解耦原理及V/f双闭环控制结构,通过算例验证了模型的有效性和正确性。为了利用微网系统中燃气轮机发出的余热,同时克服不可控微源发电间歇性、随机性导致的能源浪费,提高能量利用率及微电网对大电网削峰填谷的作用,在交流微网架构下利用分布式光伏、小型燃气轮机、余热锅炉、溴化锂吸收装置、电制冷及电制热调峰设备、蓄水池和蓄电池建立了多联供微电网。该系统具有多能量耦合,各微源工作特性不同的特点,如何根据其气候、资源条件以及负荷特性进行各个设备容量的优化配置,从而保证系统功率的平衡,不仅关系到系统的经济性和合理性,而且在很大程度上决定了整个系统的供能可靠性。本文以供能可靠性为前提,系统净收入最高为优化目标建立以系统设备容量为优化变量的配置优化和以设备出力为优化变量的运行优化模型,采用遗传算法和线性规划分别对微源配置和运行进行优化设计。优化配置时通过遗传算法中的GGAP代沟,保留当代最优个体。分析了运行优化的约束条件,为了淘汰不满足供能要求的个体,加快整体的收敛速度,在运行优化目标函数中引入惩罚项;最后以综合小区为基础对优化方案进行验证,分析了小区负荷特性,气候参数,能源价格及政府补贴等因素。仿真结果表明,在现有价格体制下,微电网在商业居民综合小区条件下具有经济性,具有推广价值。
[Abstract]:In order to alleviate the energy crisis and meet the needs of new energy, the microgrid system, which consists of a variety of distributed power generation (DG), load, energy storage unit and control device, has been paid more and more attention by many countries. However, photovoltaic cells in microgrid systems are affected by natural factors, and their output energy is intermittent and random, which will affect the power supply stability and reliability of the system. In this paper, the simulation model of photovoltaic cell and its MPPTT, battery, gas turbine and PQV / f control strategy is constructed in Matlab / Simulink simulation environment. The PQ decoupling principle and the V / f double closed loop control structure are analyzed. The validity and correctness of the model are verified by an example. In order to make use of the residual heat from gas turbine in the microgrid system, and to overcome the energy waste caused by the intermittent and randomness of uncontrollable microsource generation, and to improve the energy utilization rate and the effect of microgrid on cutting peak and filling valley in large power grid, In the AC microgrid system, a multi-power microgrid was established using distributed photovoltaic, small gas turbine, waste heat boiler, lithium bromide absorber, electric refrigeration and electric heating peak-shaving equipment, storage tank and battery. The system has the characteristics of multi-energy coupling and different operating characteristics of each micro-source. How to optimize the configuration of each equipment capacity according to its climate, resource conditions and load characteristics, so as to ensure the balance of system power. It not only relates to the economy and rationality of the system, but also determines the reliability of the whole system to a great extent. Based on the reliability of energy supply, the optimization model of the system with the maximum net income as the optimization objective and the equipment capacity as the optimization variable and the equipment output as the optimization variable is established in this paper. Genetic algorithm and linear programming are used to optimize the configuration and operation of microsource. When optimizing configuration, the gap generation gap in genetic algorithm is used to retain the contemporary optimal individual. The constraint conditions of operation optimization are analyzed. In order to eliminate the individuals who do not meet the requirements of energy supply, and to speed up the overall convergence rate, the penalty term is introduced into the operation optimization objective function. Finally, the optimization scheme is verified on the basis of comprehensive community. Some factors, such as load characteristics, climate parameters, energy price and government subsidy, are analyzed. The simulation results show that, under the existing price system, the microgrid is economical under the condition of commercial residents' comprehensive residential area, and it is worth popularizing.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM727

【参考文献】