基于改进BCC算法的电力系统鲁棒动态经济调度策略

发布时间：2018-01-04 09:41

本文关键词：基于改进BCC算法的电力系统鲁棒动态经济调度策略　出处：《燕山大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着越来越多的电动汽车和风电接入电网,由于风电固有的间歇性,电动汽车充电在时间上和空间上具有不确定性,电力系统的运行和调度将会受到影响。首先,不确定性的出现使得传统经济调度的结果变得不稳定,目标函数易受扰动。其次,经济调度的约束条件也出现了不确定性参数,使得这些约束条件难以满足。最后,大量电动汽车的随机充电可能会进一步拉大系统负荷的峰谷差,而风电的间歇性和反调峰特性导致其不能完全被利用,产生弃风。针对上述问题,本文从以下几方面进行了研究:首先,介绍了电力系统动态经济调度问题的数学模型,将多代理的思想引入到细菌群体趋药性(bacterial colony chemotaxis,BCC)算法中。通过协调代理对各个分时代理进行协调,按照时间将电力系统动态经济调度问题分解为若干子优化问题由分时代理进行优化,提高了算法的寻优能力和收敛能力。提出一种基于云模型的变异策略,提高了细菌的变异能力。其次,分析了风电和私家电动汽车充电的不确定性,利用蒙特卡洛模拟仿真了私家电动汽车充电负荷,并建立了电动汽车换电站模型。为了提高风电利用率,减小风电和电动汽车不确定性给经济调度目标函数和约束条件造成的影响,提出一种考虑解的最优性和可行性的坏场景集电力系统鲁棒动态经济调度模型,并给出了求解方法。最后,介绍了电动汽车双向充放电,建立了电动汽车双向充放电模型,通过对电动汽车充放电功率的控制,提高电力系统对风电的消纳能力。将鲁棒区间优化引入到电力系统坏场景集鲁棒动态经济调度模型中,优化风电出力允许区间,在减少弃风的同时提高了系统的经济性。
[Abstract]:With more and more electric vehicles and wind power, wind power due to the inherent intermittency, with uncertainty in time and space of electric vehicle charging, operation and dispatching of power system will be affected. Firstly, the uncertainty of the traditional economic dispatch results becomes unstable, the objective function is vulnerable to disturbance secondly, the constraints of economic dispatching also appeared uncertain parameters, which is difficult to meet these constraints. Finally, a large number of electric vehicle charging random peak may further widen the system load, and the intermittent wind power and anti peaking characteristics led to its cannot be used completely, have abandoned the wind. In view of the above the problem, this article has conducted the research from the following aspects: firstly, the mathematical model of power system dynamic economic dispatch problem, multi agent is introduced into the bacterial chemotaxis group (of bacterial colony chemotaxis, BCC) algorithm. Through the coordination of the agent coordination each time, time will be in accordance with the economic dispatch of power system dynamic problem is decomposed into several sub optimization problems by time-sharing agent optimization algorithm to improve the searching ability and the convergence ability. This paper proposes a mutation strategy cloud model based on the improved mutation capability of bacteria. Secondly, analysis of the wind power and private electric vehicle charging uncertainty simulation of private electric vehicle charging load using Monte Carlo, and established the model of electric vehicle charging station. In order to improve the utilization of wind power, wind power and electric vehicle is affected by uncertainty to economic dispatch target function and constraint condition caused by a bad scene, proposed the optimality and feasibility of the set of robust dynamic economic dispatch model considering solutions, and give a solution. Finally, introduces the bidirectional electric automobile charging and discharging, established a two-way charge discharge model of electric vehicle, through the control of the electric vehicle charging and discharging power, improve the absorptive capacity of wind power in power system. The robust interval optimization is introduced to the power system bad scenario set robust dynamic economic scheduling model, the optimization of wind power output allowable interval in, reduce the abandoned wind and improve the system economy.

【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM73

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