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含分布式电源的智能小区微网系统经济调度与孤网运行下的调频策略研究

发布时间:2019-04-26 08:35
【摘要】:智能小区微网系统是将智能小区内的分布式电源、储能装置以及用户负载等组织起来形成的低压电网,它通过配电网络向智能小区的居民负荷供电,既能并网运行又能孤岛运行。智能小区微网系统作为新的发电技术和供能方式的接入端,为实现分布式电源、储能单元、负荷和配电网之间的能量协调,保障系统可靠供电与经济运行,就需要合理可行的智能小区微网系统运行与控制策略。智能小区微网系统的经济调度是微网系统运行控制过程中的重要内容,其采用经济的调度方案协调各分布式电源的出力,以满足给定的负荷水平,使系统的运行成本最低;智能小区微网系统的频率控制是实现智能小区微网系统孤网运行下安全可靠与经济运行的重要保障,其通过调整调频机组的功率输出跟随波动的负荷需求,以维持智能小区微网系统频率的恒定,使系统处于经济稳定的运行状态。本文围绕分布式发电与智能小区微网系统的经济调度与孤网运行下的调频策略开展研究工作,具体研究内容概括如下:(1)首先阐述了智能小区微网系统国内外研究与发展现状,依据智能小区的技术特性、地理环境和气候条件,对含分布式电源的智能小区微网系统的结构进行了整体设计,将智能小区微网系统的各部件及其作用进行了详细阐述,建立了含分布式电源的智能小区微网系统各发电单元的数学模型,主要包括风力发电机组模型、光伏阵列模型、蓄电池模型、微型燃气轮机模型和电动汽车模型。(2)根据智能小区所在地的气候条件(太阳辐射强度、风速、环境温度等),对系统分布式能源数据进行了处理,依据分布式电源的发电优先模式和微网系统运行的孤立和联网模式制定了智能小区微网系统4种典型控制策略。从系统生产成本、交易成本、惩罚成本和污染物排放成本4种优化目标出发,建立了含分布式电源的智能小区微网系统经济调度模型。最后采用改进粒子群优化算法求解经济调度模型,通过算例对比分析了智能小区微网系统在不同优化模型、不同调度策略下的综合效益。(3)此外,智能小区微网系统孤网运行时的频率控制对安全经济运行有重要影响,本文针对具有较好调频能力的微源,设计了电动汽车参与系统调频的控制策略。建立了响应系统频率偏差的电动汽车调频模型,并针对大规模电动汽车,设计了系统调频的电动汽车参与模式,实现大规模电动汽车的充放电管理;考虑双馈感应风电机的动态特性,设计了辅助频率控制环节,实现了对风电机转子动能和桨距角的控制,使风电机的功率输出跟随微网系统频率变化。基于孤网运行的智能小区微网系统,建立了智能小区微网系统孤网运行下的频率控制动态模型,通过算例仿真,验证了所提出的调频策略改善了智能小区微网系统的频率调节性能,增强了抵御负荷冲击的能力。
[Abstract]:The intelligent community micro-network system is a low-voltage power grid which organizes the distributed power supply, energy storage device and user load in the intelligent district. It supplies power to the residents' load of the intelligent district through the distribution network. Can not only be connected to the grid operation, but also island operation. In order to realize the energy coordination among distributed power supply, energy storage unit, load and distribution network, the intelligent community micro-grid system, as the access terminal of new power generation technology and energy supply mode, ensures the reliable power supply and economic operation of the system. It needs reasonable and feasible operation and control strategy of micro-net system in intelligent community. The economical dispatch of micro-net system in intelligent district is an important part in the process of operation and control of micro-grid system. The economical dispatching scheme is adopted to coordinate the output of each distributed power supply to meet the given load level and to minimize the operating cost of the system. The frequency control of the micro-net system in the intelligent district is an important guarantee for the safe, reliable and economical operation of the micro-net system under the isolated operation of the micro-net system in the intelligent district. It can follow the fluctuating load demand by adjusting the power output of the FM unit. In order to maintain the constant frequency of the micro-net system in the intelligent community, the system is in an economical and stable state of operation. This paper focuses on the economic dispatch of distributed power generation and intelligent community micro-grid system and the frequency modulation strategy under the operation of isolated network. The specific research contents are summarized as follows: (1) the research and development status of intelligent community micro-net system at home and abroad is described firstly, according to the technical characteristics, geographical environment and climatic conditions of intelligent community, The structure of the intelligent community micro-grid system with distributed power supply is designed, and the components and functions of the intelligent cell micro-grid system are described in detail. The mathematical models of each generation unit in the intelligent cell micro-grid system with distributed power are established, including wind turbine model, photovoltaic array model, battery model, and so on. Micro gas turbine model and electric vehicle model. (2) the distributed energy data of the system are processed according to the climate conditions (solar radiation intensity, wind speed, environment temperature, etc.) of the intelligent residential area. According to the power generation priority mode of distributed power supply and the isolation and networking mode of micro-grid system, four typical control strategies of intelligent cell micro-grid system are formulated. Based on the optimization objectives of system production cost, transaction cost, penalty cost and pollutant emission cost, the economic scheduling model of intelligent cell micro-net system with distributed power is established. Finally, the improved particle swarm optimization algorithm is used to solve the economic scheduling model, and the comprehensive benefits of the intelligent cell microgrid system under different optimization models and different scheduling strategies are analyzed by numerical examples. (3) in addition, The frequency control of the isolated network system in the intelligent district has an important influence on the safe and economical operation. Aiming at the micro-source with better frequency modulation ability, the control strategy of the electric vehicle participating in the system frequency modulation is designed in this paper. The frequency modulation model of electric vehicles responding to the system frequency deviation is established. For large-scale electric vehicles, the electric vehicle participation mode of system frequency modulation is designed to realize the charge and discharge management of large-scale electric vehicles. Considering the dynamic characteristics of doubly-fed induction wind machine, the auxiliary frequency control link is designed, which realizes the control of rotor kinetic energy and pitch angle of wind motor, and makes the power output of wind motor follow the frequency change of micro-grid system. Based on the isolated cell micro-grid system, the dynamic model of frequency control under the isolated network operation of the intelligent community micro-grid system is established, and a numerical example is given to simulate the dynamic model of the frequency control under the isolated network operation. It is verified that the proposed frequency modulation strategy improves the frequency regulation performance of the intelligent cell micro-grid system and enhances the ability of resisting load shock.
【学位授予单位】:长沙理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TM73

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相关期刊论文 前2条

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2 侯云鹤,鲁丽娟,熊信艮,程时杰,吴耀武;改进粒子群算法及其在电力系统经济负荷分配中的应用[J];中国电机工程学报;2004年07期



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