微网运行优化方法研究

发布时间：2018-06-04 21:26

本文选题：微网 + 分布式发电　；参考：《华北电力大学》2014年硕士论文

【摘要】：目前，分布式发电(Distributed Generation，DG)的发展已经渐入佳境，而作为分布式电源并网发电的有效技术手段，能够使新能源和可再生能源得到合理、高效利用的微网技术也随之日新月异，得到了世界各国的郑重对待。随着能源和环境问题的日益突出，分布式发电因其具有能源利用效率高、环境负面影响小、提高能源供应可靠性和经济效益好等特点，成为近些年倍受关注的一种发电形式。但由于分布式电源的不可控性及随机波动性，其渗透率的提高也会影响电力系统的可靠性。微网是一种新型能源网络化供应与管理技术，能给可再生能源系统的接入提供便利、避免分布式电源对大电网的冲击、实现需求侧管理及现有能源的最大化利用。微网整合了分布式电源与内部负荷，使之相对于大电网成为一个统一模块，便于大电网调度管理，削弱了分布式电源单独并网的种种弊端。微网可以为微网内部负荷提供可靠、优质的电能，并且在发生重大自然灾害或事故时能够保证微网内部负荷的供电需求。为了实现微网的以上优势，需要研究针对微网的成熟的运行和管理技术，因此微网的运行优化问题是微网研究的重中之重。本文研究了微网的经济负荷分配和运行优化方法。本文首先介绍了微网的多目标优化运行研究的现状，探讨了微网系统经济运行优化模型的建立和优化算法；然后将万有引力搜索算法进行多重改进，并应用到微网的运行优化问题中来。通过分析微网本身的结构特点及微电源的特性，对微电源进行了符合运行问题要求的数学建模；考虑多个子目标函数和多重约束条件，建立了微网运行优化的数学函数，将万有引力搜索算法进行了多重改进，应用于微网的运行优化，仿真分析证明，改进的万有引力搜索算法能够很好地解决微网的经济运行优化问题；为了更好地实现对微网的控制，在分析微网内部各类微电源的电气特性的基础上，，采用二进制算法对万有引力搜索算法进行进一步的改进，用于解决微网内部微电源的机组组合优化，取得了良好的效果。
[Abstract]:At present, the development of Distributed Generation (DG) has been getting better and better, and as an effective technical means of grid connected generation of distributed power supply, it can make new and renewable energy get reasonable and efficient use of micro network technology. With the characteristics of high efficiency of energy utilization, small negative impact of environment, improving the reliability of energy supply and good economic benefits, distributed generation has become a kind of power generation in recent years. However, the increase of permeability will also affect the power system because of the uncontrollability and random volatility of distributed power. Micro network is a new type of energy network supply and management technology, which can provide convenience for access to renewable energy systems, avoid the impact of distributed power on large grid, realize demand side management and maximize the utilization of existing energy. Micronetworks integrate distributed power and internal load to make it relative to large power grid. The unified module is convenient for the management of large power grid dispatching, which weakens the disadvantages of the distributed power grid. The micro network can provide reliable and high quality electrical energy for the internal load of the micronetwork, and can guarantee the power supply requirement of the internal load in the micro network in the occurrence of major natural disasters or accidents. The mature operation and management technology of micronetwork, so the optimization problem of micronetwork operation is the most important of micronetwork research. This paper studies the method of economic load distribution and operation optimization of micronet.
This paper first introduces the present situation of the research on the multi-objective optimization operation of micronet, discusses the establishment and optimization algorithm of the optimization model of the micro network economic operation, and then improves the universal gravitational search algorithm and applies it to the optimization of the micro network. By analyzing the structure characteristics of the micronet and the characteristics of the micro power supply, The mathematical modeling which meets the requirements of the operation problem is carried out on the micro power supply. Considering the multiple sub objective functions and multiple constraint conditions, the mathematical function of the optimization of the micro network operation is established, and the universal gravitational search algorithm is improved and applied to the operation optimization of the micro network. The simulation analysis proves that the improved universal gravitational search algorithm can be good. In order to solve the optimization problem of the micro network economic operation, in order to better realize the control of the micro network, based on the analysis of the electrical characteristics of various micro power sources inside the micronet, the binary algorithm is used to further improve the universal gravitational search algorithm, which is used to solve the unit combination optimization of micro power supply in the micro network, and has achieved good results. Fruit.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM732

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