含风电场的电力系统调峰和机组组合优化研究

发布时间：2018-03-02 01:34

本文关键词： 风电并网调峰容量机组组合和声粒子群算法　出处：《华北电力大学》2014年硕士论文　论文类型：学位论文

【摘要】：现代工业发展所带来的环境污染与能源危机,已成为人类社会必须面对的重大问题,充分开发清洁可再生能源将是社会发展的必由之路。发展风力发电成为建设资源节约型、环境友好型社会的重大选择,大型风电场并网发电是风电发展的必然趋势。而短时期内电力系统的电源、电网结构和储能容量难以得到迅速改善。在面对风电功率的随机波动特性时,分析系统的调峰需求并且制定合理的机组优化调度方案,能够对系统接纳风电起到良好的促进作用,并保障含风电系统的安全经济运行。本文基于含风电场系统调峰和机组组合优化研究的现有成果,深入开展以下工作。针对风电场功率波动的统计特性,提出风电波动类型的划分方法；以风电功率概率密度函数为基础,建立一定置信度下的风电场出力波动区间；并基于风电功率预测误差,建立风电场出力的概率模型,作为调峰分析和机组优化调度的基础。从风电功率与系统负荷变化相关性角度,提出含风电场的系统调峰容量需求模型。根据系统内常规机组的调峰能力,对不同的调峰需求场景下的机组调度方式和风电接纳能力进行研究。在系统的机组优化调度问题研究中,建立了含风电、火电和水电的机组组合优化模型。在不同的风电场景下,结合系统运行约束条件,采用外层协调常规机组组合状态,内层优化负荷经济分配的方式,利用蚁群算法与和声粒子群算法相结合的智能优化算法,制定出完备可行的求解流程。最后在基于地区电网的测试系统中,运用提出的模型求解策略,为含风电场系统的实际调度问题提供合理的调度运行方案,验证了本方法的实用性和有效性。
[Abstract]:The environmental pollution and energy crisis brought by modern industrial development have become a major problem that human society must face. The development of clean and renewable energy will be the only way to social development. In an environment-friendly society, grid-connected power generation by large-scale wind farms is an inevitable trend of wind power development. It is difficult to improve the power network structure and energy storage capacity rapidly. In the face of the stochastic fluctuation of wind power, the peak shaving requirement of the system is analyzed and a reasonable optimal scheduling scheme is made. It can promote the acceptance of wind power system and ensure the safe and economical operation of wind power system. Based on the existing research results of peak shaving and unit combination optimization in wind farm system, the following works are carried out in this paper. According to the statistical characteristics of wind farm power fluctuation, the classification method of wind power fluctuation type is put forward. Based on the probability density function of wind power, the fluctuation interval of wind farm output force under certain confidence level is established, and the probability model of wind farm output force is established based on wind power prediction error. As the basis of peak-shaving analysis and optimal dispatching of units, from the angle of the correlation between wind power and system load, the paper puts forward the demand model of peak shaving capacity of the system with wind farm, according to the peak-shaving ability of conventional units in the system, This paper studies the dispatching mode and wind power acceptance ability of different peak-shaving scenarios. In the study of the optimal scheduling problem of the system, a unit combination optimization model with wind power, thermal power and hydropower is established. Under different wind power scenarios, combined with the system operation constraints, the outer layer is used to coordinate the conventional unit combination state. Based on the intelligent optimization algorithm of ant colony algorithm and harmony particle swarm optimization algorithm, a complete and feasible solution flow is worked out. Finally, in the test system based on local power grid, The proposed model solution strategy is used to provide a reasonable scheduling scheme for the practical scheduling problem with wind farm system. The practicability and effectiveness of this method are verified.
【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】：TM614

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