配电网络优化背景下的配网10 kV线路供电可靠性提升

随着我国社会经济的快速发展,在配电网络优化的背景下,加强10kV线路供电可靠性的建设,及时对存在的安全风险和故障问题进行改善,保证供电的稳定性和安全性,实现电力企业长久稳定的发展。本文主要针对目前我国10kV线路建设可靠性情况进行分析,并对影响因素进行深入、全面的研究,制定有效的提升措施,为今后我国10kV配电网络的建设提供参考。

模糊遗传算法在配电网络优化中的应用研究

本文采用模糊遗传算法, 结合当前典型的配电网络模型,考虑降低网损和停电损失的多目标配电网络优化重构模型。从系统全局出发,通过开关的优化组合,降低网损,实现负荷的均匀分布。算例结果表明,模糊遗传算法是解决配电网络优化重构的有效方法。

论电力配电网络优化及配网10kV线路的供电可靠性

随着经济的飞速发展，电力的需求量越来越高，用电种类也越来越多，这对10kV配网的运行提出了新的要求。配网线路的质量和布局对整个电网的运行有很大的影响，如何优化配电网络，提高配网的供电可靠性是当前电力企业应当重点关注的问题。本文结合了笔者多年的工作经验，对10kV配网的影响因素进行了分析，并探讨了如何优化10kV配网以提高供电的可靠性和效率，可供同仁参考。

如何优化配电网络以提高配网10kV线路的供电可靠性

随着电力系统的快速发展,对10kV配网运行的可靠性要求也逐渐增高,并且配网线路和设备发生故障不仅会影响广大居民的生活用电和正常生产,还会造成电力企业严重的经济损失。因此,提高配电线路的安全运行水平已成为电网工作者的首要任务。文章主要对10kV配网线路的影响因素和优化配电网络措施进行了分析。

浅析10kV配电线路供电可靠性

随着经济的不断发展,人们对电力能源的需求量不断增多,电能在人们的生产生活所占的比重越来越大。10k V是目前应用较为广泛的配电线路,直接与用电客户相连,直接关系到用户的用电质量和用电安全。随着电力企业改革的不断深入,发电水平以及发电数量有了很大的提高,配网的可靠性也在不断的增强。但是10k V配电线路的可靠性并不是绝对的,也会受到多种因素的影响,破坏配电线路的安全,影响正常的供电。基于此,本文对影响10k V配电线路可靠性的影响因素进行分析,并提出了一些优化措施,旨在更好的提高10k V配电线路的可靠性。

论如何优化配电网络以提高配网10kV线路的供电可靠性

随着电力系统的快速发展,对10kV配网运行的可靠性要求也逐渐增高,并且配网线路和设备发生故障不仅会影响广大居民的生活用电和正常生产,还会造成电力企业严重的经济损失。因此,提高配电线路的安全运行水平已成为电网工作者的首要任务。文章主要对10kV配网线路的影响因素和优化配电网络措施进行了分析。

Optimization of sensing time and cooperative user allocation for OR-rule cooperative spectrum sensing in cognitive radio network

In order to improve the throughput of cognitive radio(CR), optimization of sensing time and cooperative user allocation for OR-rule cooperative spectrum sensing was investigated in a CR network that includes multiple users and one fusion center. The frame structure of cooperative spectrum sensing was divided into multiple transmission time slots and one sensing time slot consisting of local energy detection and cooperative overhead. An optimization problem was formulated to maximize the throughput of CR network, subject to the constraints of both false alarm probability and detection probability. A joint optimization algorithm of sensing time and number of users was proposed to solve this optimization problem with low time complexity. An allocation algorithm of cooperative users was proposed to preferentially allocate the users to the channels with high utilization probability. The simulation results show that the significant improvement on the throughput can be achieved through the proposed joint optimization and allocation algorithms.

Optimal transmission lines assignment with maximal reliabilities in multi-source multi-sink multi-state computer network

The optimal transmission lines assignment with maximal reliabilities (OTLAMR) in the multi-source multi-sink multi-state computer network (MMMCN) was investigated. The OTLAMR problem contains two sub-problems: the MMMCN reliabilities evaluation and multi-objective transmission lines assignment optimization. First, a reliability evaluation with a transmission line assignment (RETLA) algorithm is proposed to calculate the MMMCN reliabilities under the cost constraint for a certain transmission lines configuration. Second, the non-dominated sorting genetic algorithm II (NSGA-II) is adopted to find the non-dominated set of the transmission lines assignments based on the reliabilities obtained from the RETLA algorithm. By combining the RETLA and the NSGA-II algorithms together, the RETLA-NSGA II algorithm is proposed to solve the OTLAMR problem. The experiments result show that the RETLA-NSGA II algorithm can provide efficient solutions in a reasonable time, from which the decision makers can choose the best solution based on their preferences and experiences.

Distribution Network Reactive Power Optimization Based on Ant Colony Optimization and Differential Evolution Algorithm

Due to the inherent complexity, traditional ant colony optimization （ACO） algorithm is inadequate and insufficient to the reactive power optimization for distribution network. Therefore, firstly the ACO algorithm is improved in two aspects： pheromone mutation and re-initialization strategy. Then the thought of differential evolution （DE） algorithm is proposed to be merged into ACO, and by producing new individuals with random deviation disturbance of DE, pheromone quantity left by ants is disturbed appropriately, to search the optimal path, by which the ability of search having been improved. The proposed algorithm is tested on IEEE30-hus system and actual distribution network, and the reactive power optimization results are calculated to verify the feasibility and effectiveness of the improved algorithm.

Joint channel allocation and power control with fairness in multi-hop cognitive radio networks

This paper investigates channel allocation and cognitive radio networks. The color-sensitive graph power control schemes in OFDM-based multi-hop coloring （CSGC） model is viewed as an efficient solution to the spectrum assignment problem. The model is extended to combine with the power con- trol strategy to avoid interference among secondary users and adapt dynamic topology. The optimiza- tion problem is formulated encompassing the channel allocation and power control with the interfer- ence constrained below a tolerable limit. Meanwhile, the proposed resource allocation scheme takes the fairness of secondary users into account in obtaining the solution of optimization. Numerical re- suits show that the proposed strategy outperforms the existing spectrum assignment algorithms on the performance of both the network throughput and minimum route bandwidth of all routes, as well as the number of connected multi-hop routes which implies the fairness among secondary users.

变电运维技术的特点及其应用

阐述由于电网规模较大、电压等级较高、线路结构复杂的因素影响,出现故障风险,造成严重后果。为了保证电力系统安全稳定的运转,必须优化配电网络的合理有效管理。