面向抗灾能力提升的输电网多目标优化规划方法
发布时间：2018-08-15 19:44
【摘要】：近年来,在我国频繁出现各种极端恶劣天气和自然灾害,给工、农业和人们生活生产造成了严重的影响。恶劣天气使输电线路发生故障的概率明显增加,这会给输电网的安全运行带来严重的威胁,一旦大面积的停电事故发生,必将严重影响国民经济建设和社会秩序。为减少自然环境对电网安全运行的影响,电网企业普遍采取预防性措施,从规划设计阶段提高电网建设标准。然而我国电源及负荷呈现逆向分布的态势,担负资源优化配置任务的输电网空间跨度大、跨越区域地理条件复杂、气象差异性明显。若无差别地全面提高电网防护标准,难以保证经济、高效、合理地提高电网容灾抗灾能力。与此同时,面对不断涌现的气象灾害,传统输电网规划方法的不足之处也慢慢展现出来:不同区域的输电网几乎采用一样的设防标准,在计算输电网脆弱性指标时,没有建立起气象灾害和输电线路故障率之间的数学关系,无法确保核心输电线路在气象灾害发生时的稳定性,违背了输电网规划的经济性和可靠性原则。因此,结合我国电网特点和发展情况,建设新型抗灾型输电网,具有重要的现实意义。为此,本文提出了面向抗灾能力提升的输电网多目标优化规划方法。在输电网规划中引入差异化的决策变量,以优化各个线路的抗灾等级,建立计及气象灾害因素的多目标电网规划模型。首先,建立基于IEEE标准的输电线路三状态气象模型,目的是构建气象状态与输电线路故障率之间的数学关系;随后,以输电网经济性和脆弱性指标为目标,构建抗灾型输电网多目标规划模型,并利用多目标遗传算法和蒙特卡罗仿真法进行求解。该方法不仅精确各输电线路的抗灾防护等级,有效提高气象灾害发生时输电网的抗灾能力,还可最大限度的减少线路建设成本,提高规划方案的经济性,对气象灾害频发环境下的输电网规划具有重要的指导意义。
[Abstract]:In recent years, severe weather and natural disasters have frequently occurred in our country, which has caused serious impact on workers, agriculture and people's daily life. The probability of transmission line failure is obviously increased by bad weather, which will bring serious threat to the safe operation of transmission network. Once a large area of power failure occurs, it will seriously affect the national economic construction and social order. In order to reduce the impact of natural environment on the safe operation of power grid, the power grid enterprises generally take preventive measures to improve the standard of power grid construction from the stage of planning and design. However, the distribution of power and load in China is reverse. The transmission network with the task of resource optimization has a large span of space, complex geographical conditions across regions, and obvious meteorological differences. It is difficult to ensure economy, high efficiency and reasonable ability to resist disasters if the standard of power grid protection is improved completely and without distinction. At the same time, in the face of the weather disasters, the shortcomings of the traditional transmission network planning methods are gradually revealed: transmission networks in different regions adopt almost the same security standards, and when calculating the vulnerability index of transmission networks, It is impossible to ensure the stability of core transmission lines when meteorological disasters occur without establishing the mathematical relationship between meteorological disasters and fault rate of transmission lines, which violates the economic and reliability principles of transmission network planning. Therefore, it is of great practical significance to build a new type of disaster-resistant transmission network according to the characteristics and development of our country's power grid. Therefore, this paper presents a multi-objective optimization planning method for transmission network. In order to optimize the disaster resistance grade of each transmission line, a multi-objective power network planning model considering meteorological disaster factors is established by introducing differential decision variables into transmission network planning. Firstly, a three-state meteorological model of transmission line based on IEEE standard is established to construct the mathematical relationship between meteorological state and fault rate of transmission line, and then, the economic and vulnerability index of transmission network is taken as the target. The multi-objective programming model of disaster-resistant transmission network is constructed and solved by using multi-objective genetic algorithm and Monte Carlo simulation method. This method can not only accurately protect each transmission line against disasters, but also effectively improve the disaster resistance of transmission network in the event of meteorological disaster, reduce the construction cost of transmission line to the maximum extent, and improve the economy of the planning scheme. It has important guiding significance for transmission network planning under the environment of frequent meteorological disasters.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM715
本文编号：2185218
[Abstract]:In recent years, severe weather and natural disasters have frequently occurred in our country, which has caused serious impact on workers, agriculture and people's daily life. The probability of transmission line failure is obviously increased by bad weather, which will bring serious threat to the safe operation of transmission network. Once a large area of power failure occurs, it will seriously affect the national economic construction and social order. In order to reduce the impact of natural environment on the safe operation of power grid, the power grid enterprises generally take preventive measures to improve the standard of power grid construction from the stage of planning and design. However, the distribution of power and load in China is reverse. The transmission network with the task of resource optimization has a large span of space, complex geographical conditions across regions, and obvious meteorological differences. It is difficult to ensure economy, high efficiency and reasonable ability to resist disasters if the standard of power grid protection is improved completely and without distinction. At the same time, in the face of the weather disasters, the shortcomings of the traditional transmission network planning methods are gradually revealed: transmission networks in different regions adopt almost the same security standards, and when calculating the vulnerability index of transmission networks, It is impossible to ensure the stability of core transmission lines when meteorological disasters occur without establishing the mathematical relationship between meteorological disasters and fault rate of transmission lines, which violates the economic and reliability principles of transmission network planning. Therefore, it is of great practical significance to build a new type of disaster-resistant transmission network according to the characteristics and development of our country's power grid. Therefore, this paper presents a multi-objective optimization planning method for transmission network. In order to optimize the disaster resistance grade of each transmission line, a multi-objective power network planning model considering meteorological disaster factors is established by introducing differential decision variables into transmission network planning. Firstly, a three-state meteorological model of transmission line based on IEEE standard is established to construct the mathematical relationship between meteorological state and fault rate of transmission line, and then, the economic and vulnerability index of transmission network is taken as the target. The multi-objective programming model of disaster-resistant transmission network is constructed and solved by using multi-objective genetic algorithm and Monte Carlo simulation method. This method can not only accurately protect each transmission line against disasters, but also effectively improve the disaster resistance of transmission network in the event of meteorological disaster, reduce the construction cost of transmission line to the maximum extent, and improve the economy of the planning scheme. It has important guiding significance for transmission network planning under the environment of frequent meteorological disasters.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM715
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