电力系统低压减载配置整定优化策略研究

发布时间：2018-11-16 07:01

【摘要】：电力系统低压减载是保障系统电压稳定,防止系统电压崩溃的有效措施,但目前低压减载的配置方案和整定方法还有待完善,优化和协调策略还有待进一步研究。现行低压减载配置方案多通过工程人员的经验确定,具有较强的主观性；现行低压减载整定方法中整定值、减载量、动作延时确定时相互独立,工作量较大、缺乏科学性,且整定方案确定后往往长时间不变,不能很好地适应复杂多变的电网实际运行情况；传统减载过程中较少利用负荷信息,使得减载经济损失较大、电压恢复不理想；传统减载过程中各减载节点之间缺乏有效协调,易造成误切、过切等后果。随着我国电力系统信息化进程的不断推进,基于共享的系统信息,低压减载系统的配置方案、科学的整定方案、简单有效的优化协调策略有了实现的可能,其研究对保障系统电压稳定,防止系统电压崩溃有重要意义。本文首先提出基于广域信息的低压减载系统配置方案。该方案根据系统广域信息,应用风险分析算法,利用节点参与因子和重要性因子,计算各个负荷节点的减载风险值,最终选择减载风险小的负荷节点或区域作为低压减载配置地点,形成系统的低压减载配置方案。其次提出基于站域信息的低压减载自适应整定方法。该方法根据变电站站域信息,修正并得到本变电站在当前电力系统网络拓扑下的PV曲线,利用PV曲线电压-功率对应关系确定各轮电压整定值和减载量,参考PV曲线各点斜率等因素确定动作延时,形成科学的低压减载整定方案。再次提出基于负荷信息的低压减载优化算法。该算法以负荷重要性、负载率、单位停电经济损失、负荷有功和无功电压特性五种负荷信息为指标,应用模糊综合评价,对各条待减载出线进行评价,最终对综合评价最差的变电站出线进行优先切除,形成简单有效的低压减载优化方案。最后提出基于Multi-agent理论的各低压减载节点协调策略。基于Multi-agent基本理论,提出双层低压减载Multi-agent系统结构。应用博弈论实现各低压减载Agent之间的协调,通过在站域级Agent中寻求Perfect Bayesian均衡,在区域级Agent中寻求Nash均衡,最终形成站域级Agent决策算法和区域级Agent协调算法,共同组成各低压减载节点协调策略。
[Abstract]:Low-voltage load reduction in power system is an effective measure to ensure system voltage stability and prevent system voltage collapse. However, the configuration and setting method of low-voltage load reduction still need to be improved, and the optimization and coordination strategy need to be further studied. The current low-voltage load reduction configuration scheme is determined by the experience of the engineers and has strong subjectivity. In the current low-voltage load reduction and setting method, the setting value, load reduction and action delay are independent of each other, the workload is large, and the setting scheme is often not changed for a long time after the determination of the setting scheme. Can not adapt to the complex and changeable power grid operation; The traditional load reduction process makes less use of load information, which makes the economic loss of load reduction greater, and voltage recovery is not ideal. In the traditional load reduction process, there is a lack of effective coordination among the load reduction nodes, which can easily lead to miscut, over-cut and other consequences. With the development of power system informatization in our country, it is possible to realize the system information sharing, the configuration scheme of low-voltage load reduction system, the scientific setting scheme, the simple and effective optimization and coordination strategy. The research is of great significance to protect the system voltage stability and prevent the system voltage collapse. In this paper, a configuration scheme of low voltage load reduction system based on wide area information is proposed. According to the wide area information of the system, the risk analysis algorithm is applied to calculate the load reduction risk of each load node by using the node participation factor and the importance factor. Finally, the load node or area with low risk of load reduction is chosen as the location of low-voltage load reduction configuration, and the low-voltage load reduction configuration scheme of the system is formed. Secondly, a low voltage load reduction adaptive setting method based on station domain information is proposed. According to the substation station domain information, the PV curve of the substation under the current network topology of power system is corrected and obtained. The voltage-power corresponding relation of the PV curve is used to determine the setting value and load reduction of each wheel voltage. The action delay is determined by reference to the slope of each point of the PV curve, and a scientific low voltage load reduction and setting scheme is formed. Again, a low voltage load reduction optimization algorithm based on load information is proposed. Based on five kinds of load information, such as load importance, load rate, economic loss per unit blackout, active load and reactive power voltage characteristics, the fuzzy comprehensive evaluation is applied to evaluate each load line. Finally, a simple and effective optimization scheme of low voltage load reduction is formed. Finally, the coordination strategy of low voltage load reducing nodes based on Multi-agent theory is proposed. Based on the basic theory of Multi-agent, the structure of double layer low voltage load reduction Multi-agent system is proposed. The game theory is used to realize the coordination among the low voltage load reduction Agent. By seeking the Perfect Bayesian equilibrium in the station level Agent and the Nash equilibrium in the region level Agent, the station level Agent decision making algorithm and the region level Agent coordination algorithm are formed. The coordination strategy of each low voltage load reducing node is formed together.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM712

【相似文献】