电力营销计量改造过程中存在的问题及解决对策分析

文章对电力营销计量改造过程中存在问题及解决对策进行研究.首先阐述了电力营销计量改造的重要性与必要性.然后分析了电力营销计量改造过程中存在的计量点位置缺乏合理性、电能计量表选用有待明确等问题.最后,为更好地实现电力营销计量改造,给出加强计量点改造、加强预付费计量系统应用等有效措施。     

城农网改造后线损管理的重点及降损措施

针对城农网改造对节能降损起到的作用及改造后存在的一些问题,提出了解决方法,并进行了探讨和研究.     

回转式空气预热器的改造

天津国华盘山发电有限责任公司的空气预热器由于存在中心筒裂纹等重大运行隐患,在2007年A级检修中进行改造,解决了改造过程中存在的技术问题,进行了经验归纳总结.     

刘家峡3号水轮发电机定子改造分析

根据刘家峡3号水轮发电机定子存在的问题及隐患,阐述了改造前、后发电机的主要参数及设计结构.本次改造解决了机组定子原来存在的定子接地、绝缘击穿等问题,提高机组安全运行稳定性,为后续电站改造提供了参考.     

胶球清洗装置存在的问题与对策

针对中电国华北京热电分公司2×200MW机组胶球清洗装置在投运过程中出现的问题进行了分析和探讨,并对存在问题的1号机组甲侧收球网实施了改造.实践表明,改造可行有效,解决了收球率低的问题.     

HP中速磨煤机旋转分离器改造

江苏国信扬州发电有限责任公司二期锅炉煤粉细度偏差较大,锅炉结渣严重、飞灰含碳偏高等情况影响机组安全经济运行,为此,对4号锅炉磨煤机进行旋转分离器改造.介绍了旋转分离器的改造方案、结构特点和改造后进行的验证试验,实际运行表明改造后可以有效解决锅炉存在的部分问题.     

水口水电厂发电机-变压器保护微机化改造分析

针对水口水电厂原集成型发电机-变压器保护装置存在的问题,采用微机化装置进行改造,本文对此次改造解决的几个技术问题进行分析。     

KPAACP优化技术在汽包水位控制中的应用

介绍了张家口发电厂4号机组汽包水位控制系统改造的情况;分析了机组给水系统控制原理及存在的问题,应用 KPAACP优化控制策略,提出了解决汽包水位自动控制优化方案;对策略在DCS系统中的实施进行了简单说明.最后指出了项目改造后的问题和建议.     

110kV变电站母线保护改造中存在的问题和解决方法

介绍了110kV变电站保护配置情况,对调试过程中的难点进行了理论分析和试验检验,最后针对改造中存在的问题进行了分析并提出解决方法.     

农配网改造工程中的问题及解决措施

文章对农配网改造工程的重要性进行了分析,并对改造工程中存在的问题进行了论述,最后提出解决措施。     

Optimization methods applied for solving the short-term hydrothermal coordination problem

Short-term hydrothermal coordination (STHTC) is a very complicated optimization problem. It is a dynamic large-scale non-linear problem and requires solving unit commitment and economic power load dispatch problems. From this perspective, many successful and powerful optimization methods and algorithms have been employed to solve this problem. These optimization methodologies and techniques are widely diverse and have been the subject of ongoing enhancements over the years. This paper presents a survey of literature on the various optimization methods applied to solve the STHTC problem. A review and a methodology-based classification of most of the publications on the topic are presented.     

电厂220 kV断路器内部电腐蚀问题的分析及处理

介绍了某水力发电厂开关站220 kV断路器内部存在的电腐蚀问题,通过问题的发现过程及产生原因,提出了类似断路器所存在问题的解决方法,并给出了处理结果。     

Multi-objective harmony search algorithm for optimal power flow problem

This paper proposes a multi-objective harmony search (MOHS) algorithm for optimal power flow (OPF) problem. OPF problem is formulated as a non-linear constrained multi-objective optimization problem where different objectives and various constraints have been considered into the formulation. Fast elitist non-dominated sorting and crowding distance have been used to find and manage the Pareto optimal front. Finally, a fuzzy based mechanism has been used to select a compromise solution from the Pareto set. The proposed MOHS algorithm has been tested on IEEE 30 bus system with different objectives. Simulation results are also compared with fast non-dominated sorting genetic algorithm (NSGA-II) method. It is clear from the comparison that the proposed method is able to generate true and well distributed Pareto optimal solutions for OPF problem.     

Application of Multi-Objective Evolutionary Optimization Algorithms to Reactive Power Planning Problem

This paper presents a new approach to treat reactive power (VAr) planning problem using multi-objective evolutionary algorithms (EAs). Specifically, strength Pareto EA (SPEA) and multi-objective particle swarm optimization (MOPSO) approaches have been developed and successfully applied. The overall problem is formulated as a nonlinear constrained multi-objective optimization problem. Minimizing the total incurred cost of the VAr planning problem and maximizing the amount of available transfer capability (ATC) are defined as the main objective functions. The aim is to find the optimal allocation of VAr devices in such a way that investment and operating costs are minimized and at the same time the amount of ATC is maximized. The proposed approaches have been successfully tested on IEEE 14 buses system. As a result a wide set of optimal solutions known as Pareto set is obtained and encouraging results show the superiority of the proposed approaches and confirm their potential to solve such a large-scale multi-objective optimization problem. Copyright © 2009 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

含维变异的量子粒子群算法在无功优化中的应用

量子粒子群优化算法(QPSO)避免了粒子群算法(PSO)不能保证收敛到全局最优解这个缺点,认为粒子具有量子的行为,并且可以在整个可行解空间进行搜索。无功优化问题是带有离散变量的非线性、不连续、多约束、多变量的复杂优化问题。本文考虑到优化过程中避免陷入局部最优,应用含维变异QPSO算法并结合动态调整罚函数的方法来解决无功优化问题。并对标准IEEE-30节点系统进行仿真计算,并与QPSO、PSO、GA算法进行了比较,表明该算法能够获得更好的全局最优解。     

PKCS的计算方法浅介

PKCS 复杂性的系统讨论,相继发表 PKCS 的破译问题浅介;PKCS 的约定问题浅介,本文就 PKCS 的复杂性度量中的计算方法问题作个浅介,以求对 PKCS 系统的复杂性有个较为全面的认识,文中在定义单向函数的基础上,讨论了计算方法中有关定理、命题和推论,以及从计算的目的出发进一步讨论了 PKCS 的殆遍复杂性.     

A reliable approach for solving the transmission network expansion planning problem using genetic algorithms

This paper presents a reliable approach for solving the transmission network expansion planning (TNEP) problem through a genetic algorithm (GA). GAs have demonstrated the ability to deal with non-convex, non-linear, integer-mixed optimization problems, such as the TNEP problem, better than a number of mathematical methodologies. The procedure presented consists on finding unfeasible solutions for the problem through the GA. These solutions are used for predicting the cost of the optimum solution using a ‘loss of load limit curve’, of the transmission system. Once this cost is estimated, the optimum solution can be found by performing a local search starting from the unfeasible solutions that have costs close to the estimated cost. This approach makes the GA more robust and reliable for solving the problem for different transmission systems.     

Hybrid Tabu search-simulated annealing method to solve optimal reactive power problem

Reactive power optimization problem has a substantial inspiration on secure and economic operation of power system. In this work we utilized Hybridized Tabu Search-Simulated Annealing (HTSSA) algorithm to solve reactive power problem. At first both the algorithm separately solved the reactive power problem, then hybridization has been done and the hybridized algorithm has been utilized to solve the reactive power problem. Detailed comparisons have been done between three modes. The validity of the proposed algorithm has been tested in standard IEEE 30 bus system. And the results show the proposed algorithm HTSSA efficiently solved the reactive power problem. Simulation results clearly show that real power loss considerably reduced and voltage profiles also within the limits.     

高压隔离开关质量问题探讨

当前国内户外高压隔离开关存在两大缺陷,即触头问题;传动系统问题。提出了户外高压隔离开关的发展方向。     

THE HYDRO-THERMAL OPTIMAL POWER FLOW PROBLEM IN RECTANGULAR COORDINATES

Abstract

This paper considers the formulation and computational solution of the optimal power flow problem in hydro-thermal electric system. The problem is formulated using the cartesian coordinate form of the power flow equations. Here the hydro generation is energy limited. As a result, a dynamic optimization problem involving the daily scheduling of the system is encountered. This dynamic optimal power flow problem requires the solution of a large scale set of non-linear simultaneous equations. In this paper, Newton's method is used to solve the problem. Due to the large scale nature of the problem, we have exploited the sparsity of the Jacobian and developed three different versions of the algorithms and implementation of these versions have been detailed in this paper. In all cases, the algorithm has been successfully tested with six standard IEEE test systems varying in size from 5 bus to 118 bus. Computational results and the CPU times required by all of the methods are given. Results are compared with the results obtained by the earlier version using polar form for load flow constraints and it is shown that the sparse implementation using rectangular coordinates offers superior computational speed.