基于改进粒子群算法的水—火发电系统联合调度

发布时间：2018-04-28 06:52

本文选题：梯级水电站 + 火电机组　；参考：《华北电力大学》2015年硕士论文

【摘要】：随着我国新能源电力系统的发展,由于风能、太阳能发电等新能源电力具有随机波动性和不稳定特性,其大规模接入电网必然会对电网造成一定量的冲击,影响电网的安全稳定运行。因此在新能源电力系统中,为了平抑新能源电力对电网的影响,必须要增强功率可调电源的调节能力。而在我国能源结构中,燃气、燃油机组等响应较快的电源所占比例非常低,因此调节传统的水电机组和火电机组成了新能源电力系统发展的需要。而在水火联合调度过程中,在保证电网负荷需求的前提下,为了使得水火联合调度系统的利益最大化,本文主要对以下几个方面展开研究：(1)在研究梯级水电站系统和火电机组特性的基础上,分析了梯级水电站系统的出力特性、关联特性以及相互制约关系,研究了火电机组的煤耗特性以及对环境的污染特性,进而为水火联合优化调度奠定基础；(2)针对水火联合优化调度问题,其本质上可以抽象为多目标多约束的数学问题进行求解。在研究多目标优化问题和多目标优化粒子群算法的基础上,研究了基于多智能体的粒子群算法,对传统粒子群算法进行了改进,提升了最优解的收敛性和准确定；(3)针对水火联合调度中各个目标和约束条件,提出了水火联合优化调度数学模型,进而利用改进的粒子群算法,对以4台水电站和3台火电机组组成的水火联合调度系统进行了计算和求解,得出水火联合发电系统在不同时间段的优化调度策略。
[Abstract]:With the development of new energy and power system in China, due to the random fluctuation and instability of new energy power, such as wind energy, solar power generation and so on, its large-scale access to the power grid will inevitably cause a certain amount of impact on the power network. It affects the safe and stable operation of power grid. So in the new energy power system, in order to stabilize the influence of the new energy power on the power grid, it is necessary to enhance the regulating ability of the power adjustable power supply. However, in the energy structure of our country, the proportion of quick response power sources such as gas and fuel units is very low, so adjusting the traditional hydropower units and thermal power units has become the need of the development of new energy power system. In the process of water-fire joint dispatching, in order to maximize the benefit of the water-fire joint dispatching system, under the premise of ensuring the power grid load demand, On the basis of studying the characteristics of cascade hydropower station system and thermal power unit, this paper analyzes the characteristics of the cascade hydropower station system, the correlation characteristic and the mutual restriction relation. The characteristics of coal consumption and pollution to the environment of thermal power units are studied in this paper, and then the foundation is laid for the joint optimal scheduling of water and fire. In essence, the problem can be abstracted as a multi-objective and multi-constraint mathematical problem to solve the problem. On the basis of studying multi-objective optimization problem and multi-objective optimization particle swarm optimization algorithm, the particle swarm optimization algorithm based on multi-agent is studied, and the traditional particle swarm optimization algorithm is improved. The convergence of the optimal solution and the accurate determination of the optimal solution are improved. Aiming at the various objectives and constraints in the water-fire joint scheduling, the mathematical model of the water-fire joint optimal scheduling is proposed, and then the improved particle swarm optimization algorithm is used. Based on the calculation and solution of the hydro-thermal power system composed of 4 hydropower stations and 3 thermal power units, the optimal scheduling strategy of the hydro-thermal power generation system in different time periods is obtained.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM61;TM73

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