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1.
提出了一种可解决辐射状配电网电容器最优配置问题的遗传算法.将电容器看作离散变量,对给定的目标函数求最佳的电容器安装位置和容量;设计了针对该问题有效的遗传因子,并对一个实际的配电网进行了计算,得到了较好的结果.对遗传算法用于辐射状配电网的电容器最佳配置问题进行了探讨.  相似文献   

2.
基于动态规划和遗传算法的配电网电容器优化配置   总被引:1,自引:0,他引:1  
提出了一种将动态规划与遗传算法相结合的求解配电网无功优化配置问题的方法,该方法首先利用动态规划求解速度快的特点,初步计算出一个次优的规划方案,将此方案作为遗传算法的初始值,再从该点出发,应用遗传算法的全局寻优能力,在整个可行的运营空间中搜索出电容器配置的最佳方案。理论分析及仿真结果均表明:该方法计算速度快,规划精度高,对目标函数的限制较少,是一种可行的、有效的配电网电容器优化配置方法。  相似文献   

3.
王秀华  苏宏升 《电气自动化》2010,32(6):54-56,62
提出一种改进蚁群算法求解辐射状配电网电容器优化配置问题,以系统的有功功率损耗费用和电容器的购买、安装和维护费用之和最小为目标函数,建立优化模型。以IEEE33节点系统为算例进行仿真分析,验证了算法的可行性和有效性。  相似文献   

4.
建立了以年运行费用最小为目标函数的配电网数学模型,选用前推回代法作为配电网潮流计算的方法,以遗传算法作为解决配电网无功优化的方法。通过对辐射状12节点配电网算例计算,求出最佳补偿节点和最优容量。验证了遗传算法解决无功补偿的有效性和正确性。  相似文献   

5.
基于免疫算法的配电网电容器优化配置   总被引:1,自引:0,他引:1  
将免疫算法应用于辐射型配电网中电容器的合理配置。通过比较遗传算法 ,得出免疫算法在配电网电容器优化配置过程中具有寻优速度快 ,收敛性能好等优点。由于保持了群的多样化 ,所以避免了陷入局部最优。算例及分析表明免疫算法应用于配电网电容器优化配置的有效性和实用性  相似文献   

6.
首先建立了配电网电容器优化配置的数学模型,以补偿无功后带来的年经济效益最大为目标函数,考虑了配电网的负荷变化情况、电容器的成本以及容量的离散性,并将补偿电容器分为固定电容器和可投切电容器以适应不同负荷水平下的无功补偿需求并减小投资成本.然后,用VC++编写了基于启发式策略和遗传算法的配电网电容器优化配置程序,并对IEE...  相似文献   

7.
用于配电网规划的改进遗传算法   总被引:2,自引:1,他引:1  
盛四清  王浩 《电网技术》2008,32(17):69-72
针对传统遗传算法易于陷入局部最优解和随着配电网规模的扩大搜索效率降低的问题,借鉴协同进化思想提出了基于协同遗传算法的配电网规划算法。通过对目标函数进行处理引入了多个物种,并采用简单遗传算法和考虑进化稳定的改进多种群遗传算法分别对不同的物种进行操作,通过转移优秀个体实现了物种间的协同作用。同时为解决遗传算法应用于配电网规划时产生的大量不可行解的问题,借助图论知识和搜索技术给出了不可行解的修复方案,通过对孤岛、孤链和环进行修复,将非辐射状网络修复为辐射状网络。算例结果验证了该算法的实用性和有效性。  相似文献   

8.
配电网电容器优化配置规划决策系统从降损节能、改善电能质量的角度,侧重依据电网实际运行状态,利用智能分组算法,保证在各种运行条件下都能对电网无功补偿、电压调节提供最优的补偿容量组合;并针对当前的无功补偿投资预算,给出经济效益最佳的配置方案组合。配电网电容器优化配置规划决策系统科学、合理地解决了配电网电容器的补偿容量、补偿地点和补偿分组问题,算例及分析表明了该分组算法应用于配电网电容器优化配置的有效性和实用性。  相似文献   

9.
基于自适应多种群遗传算法的配电网规划   总被引:1,自引:0,他引:1  
针对传统遗传算法易于陷入局部最优解和随着配电网规模的扩大搜索效率降低的问题,借鉴多种群和自适应思想,提出了基于自适应多种群遗传算法的配电网规划算法。通过对目标函数进行处理,引入了多个物种,并采用自适应遗传算法和考虑进化稳定的改进多种群遗传算法分别对不同的物种进行操作,通过转移优秀个体,实现了物种之间的协同作用。同时为解决遗传算法应用于配电网规划时产生的大量不可行解的问题,借助图论知识和搜索技术给出了不可行解的修复方案,通过对孤岛,孤链和环进行修复,将非辐射状网络修复为辐射状网络。算例结果验证了该算法的实用性和有效性。  相似文献   

10.
倪爽  刘海涛  许伦  王玉 《电工技术》2019,(10):60-63
分布式电源接入比例的增加使得主动配电网中电压波动性增大、潮流分布不合理的现象越来越突出,为了有效提高主动配电网的供电质量,优化潮流分布,本文详细探讨了主动配电网的多目标无功优化问题。以电容器组的接入位置和投入数量作为优化变量,选取网络损耗和电容器组运行投资成本这两个目标建立数学模型。基于遗传算法对目标函数进行优化,并得到相应非劣解。在通过遗传算法仿真得到的若干组解中计算每组解对应的模糊贴近度,最终找到贴近度最大对应的那组解即为最优配置。算例表明,基于模糊贴近度所确定的电容器组优化配置方案降低了网络的有功,提高了电压质量,具有较好的优化效果。  相似文献   

11.
This paper proposes a novel methodology for the optimal location and sizing of shunt capacitors in radial distribution systems. This method is based on a fuzzy decision making which using a new evolutionary method. The capacitor placement optimization problem includes: minimizing the cost of peak power, reducing energy loss and improving voltage profile. The installation node is selected by the fuzzy reasoning supported by the fuzzy set theory in a step by step procedure. Also an evolutionary algorithm known as bacteria foraging algorithm (BFA) is utilized in solving the objective multivariable optimization problem and the optimal node for capacitor placement is determined. The proposed approach is applied to 34-bus distribution system as a test study and the results are compared with previous method. The results show that this method provides more economic solution by reducing power losses, energy loss, total required capacitive compensation and show a good improvement in nodes voltage to be in the requested range. Comparison between the proposed method in this paper and similar methods in other research works shows the effectiveness of the proposed method for solving optimum capacitor planning problem.  相似文献   

12.
基于PSO考虑谐波影响的补偿电容器优化配置   总被引:43,自引:6,他引:43  
配电网合理的电容器配置不仅可以有效改善电网的电压水平,降低系统的有功网损,而且能够避免谐波谐振或电流放大,该文在建立电容器优化配置问题的非线性整数规划模型时,考虑了电压谐波畸变率约束条件,以保证优化方案下的各节点电压总谐波畸变率控制在规定限值以内。文中应用了一种简单有效,且收敛性很好的演化计算算法-微粒群优化算法(PSO)进行问题的求解,从编码方式,操作过程,目标函数选取,参数调节以及信息共享机制等五个方面分析了该算法的优越性,并给出了用于电容器优化配置问题中算法的具体求解步骤。对2个不同规模的IEEE测试系统的优化计算表明,微粒群算法可以很好地获得电容器优化配置问题的全局最优解。  相似文献   

13.
A procedure for solving the capacitor placement problem is presented. The objective is to determine the minimum investment required to satisfy suitable reactive constraints. Due to the discrete nature of reactive compensation devices, optimal capacitor placement leads to a nonlinear programming problem with mixed (discrete and continuous) variables. It is solved with an iterative algorithm based on successive linearizations of the original nonlinear model. The mixed integer linear programming problem to be solved at each iteration of the procedure is tackled by applying both a deterministic method (branch and bound) and genetic algorithm techniques. A hybrid procedure, aiming to exploit the best features of both algorithms is also considered. The proposed procedures are tested and compared with reference to a small CIGRE system and two actual networks derived from the Italian transmission and distribution system  相似文献   

14.
This article presents a novel binary collective animal behavior algorithm to solve the problem of optimal allotment of distributed generation sets and shunt capacitors in radial distribution systems. Simultaneous sizing and placement of distributed generation units and shunt capacitors in distribution systems is a very complex optimization task, because it is a problem of combinatorial analysis with mixed-integer and binary variables and hard restrictions. With the objective of optimal allotment of shunt capacitor banks and distributed generations, a binary collective animal behavior algorithm optimizes the total line loss, or the total voltage deviation separately in a distribution system, by optimally and simultaneously allocating capacitor banks and distributed generations of optimal ratings, considering the topology of a radial distribution network. The binary collective animal behavior algorithm is applied on various balanced IEEE radial distribution networks. The results are compared to those of a conventional binary particle swarm optimization algorithm to establish the optimization superiority of binary collective animal behavior algorithm.  相似文献   

15.
This paper reports the research findings of an innovative genetic algorithm approach for optimizing shunt capacitor sizes and their placement in radical distribution systems with the consideration of harmonic distortion limit due to the presence of nonlinear power electronic devices. The algorithm is based on a genetic algorithm solution technique to minimize cost under the additional constraints of maximum limit in harmonic distortion factor. A harmonic distortion calculation is embedded in the genetic algorithm solution routine to enhance the optimal capacitor allocation solution. Results of simulation show that the approach is effective for such a discrete value optimization problem.  相似文献   

16.
针对10kV配电线路无功分散补偿的不足之处,为了进一步降低网损和提高用户电压,提出了在10kV配电线路安装杆上无功补偿设备的优化算法。该算法以年运行费用最小为目标函数,运用遗传算法求出最佳的补偿地点和最优补偿容量。IEEE33节点算例计算验证了该算法的正确性。  相似文献   

17.
This article indicates the accurate method for load level calculation to solve the power flow problem when capacitor reactive power is involved. Using the correct method causes some changes in the results and conclusion stated in the discussed paper on optimal reconfiguration and capacitor placement in radial distribution systems.  相似文献   

18.
基于有记忆的模拟退火算法的配电网电容器优化配置   总被引:3,自引:1,他引:3  
给出一种求解组合优化问题的全局搜索算法——有记忆的模拟退火算法解决放射性配电网中电容器的优化配置问题。该算法获得全局最优解的几率大大高于单纯的模拟退火算法,且计算时间上几乎没有增加。通过一种较为精确的计算方法——阻抗矩阵法求解网损微增率,从而确定无功补偿的最优点。潮流计算采用前推回代法。应用于IEEE69和IEEE33母线系统获得了满意的结果。  相似文献   

19.
This paper presents a new and efficient approach for capacitor placement in radial distribution systems that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Plant Growth Simulation Algorithm (PGSA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately, avoiding the trouble to determine the barrier factors. The proposed method is applied to 10, 34, and 85-bus radial distribution systems. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution.  相似文献   

20.
For pt.I see ibid., vol.5, no.2, p.634-42 (1990). A general solution algorithm based on simulated annealing for optimal capacitor placements in distribution systems is proposed and analyzed. The solution algorithm can provide the global optimal solution for the capacitor placement problem. The solution algorithm has been implemented into a software package and tested on a 69 bus system with very promising results  相似文献   

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