【作者】 刘佳；

【导师】 高立群；

【作者基本信息】 东北大学 ， 模式识别与智能系统， 2009， 博士

【摘要】 根据现代电力系统的特点和发展趋势,深入研究电力系统现代应用技术的特性,发展和完善现代电力系统优化模型和实用算法是当前电力系统研究和工程实践的重要课题之一。本论文针对现代电力系统优化中的若干问题及其实用算法进行了深入的研究,主要工作如下：保证运行电压合格率和提高电压稳定性的前提下,为了使电网系统的有功网损最小,文中了建立了集安全性和经济性于一体的多目标无功优化模型。给出了解决多目标无功优化问题的多目标粒子群算法,针对Pareto最优解集中的解质量评价困难的问题,采用熵权决策法进行不同量纲的多目标优化整合,最终选择出满意的最优解。提出了一种改进的人工免疫算法,算法中对质量不同的个体采用了不同的变异策略,对变异率和交叉率进行了自适应调整,使算法在搜索精度和搜索效率之间达到平衡。构造了基于DAIA算法的DAIA-BPNN电力系统短期负荷预测模型,利用DAIA算法来优化BPNN的权值和阈值,克服了BPNN权值和阈值选择的盲目性。电力系统短期负荷预测的实际算例表明,与人工神经网络及回归分析模型相比,本文所提出的方法具有更高的预测精度和鲁棒性。以辽宁省电力有限公司线路检修计划为背景,根据图论中的图着色理论建立了电网检修优化模型,引入成本—效益分析概念,利用层次分析法加以分析研究,并提出了种改进的鱼群算法对其进行优化求解。文中算法采用轮盘赌的方法选择移动行为,并且自适应调整移动策略和行为参数,以克服基本鱼群算法收敛速度较慢和易于陷入局部最优解的不足。引入居民不满意度概念,基于物理规划思想建立了多地区多目标错峰控制限电模型。模型中不仅考虑到电力分配的经济效益,而且考虑到其社会效益,更加合理可行。在此基础上,进一步根据模糊决策理论给出了相应的多地区多目标错峰控制限电分配策略协调控制策略。文中对所建立的数学模型和优化控制方法均进行了仿真实验,实验结果表明所提出的各类模型和方法合理可行。更多还原

【Abstract】 According to the features and development tendency of modern electric system, the following 2 items have become important topics in current electric system research and engineering practice. One is to deeply study the features of modern application technologies for electric system, the other is to develop and perfect the optimized models and practical algorithm for modern electric system. This paper deeply studies several problems existing in the course of modern electric system optimization, and studies its practical algorithm. The main works are as following:Under the conditions of ensuring acceptability of operation voltage and promoting the voltage stability, in order to minimize the active power loss in power grid, this paper constructs the multiple-purpose reactive power optimization model integrating safety with economical efficiency. This paper offers multiple-purpose particle swarm algorithm aiming at solving the problem of multiple-purpose reactive power optimization. Aiming at the difficult evaluation in solution quality in Pareto optimal set, this paper uses entropy right decision method to optimize and coordinate different dimensions with multiple purposes. Finally, this paper selects the optimal solution.This thesis offers one kind of improved artificial immune algorithm which takes different mutation strategy toward different unit that has various quality. This algorithm conducts self-adapt adjustment between mutation rate and crossover rate in order to achieve balance between search accuracy and search efficiency. This paper conducts DAIA-BPNN short-term power load forecast model based on DAIA algorithm. It uses DAIA algorithm to optimize the weight and threshold of BPNN while overcoming the blindness when selecting the weight and threshold of BPNN. The actual calculation example of the short-term power system load forecast shows that the method presented in this paper has higher forecast accuracy and robustness compared with artificial neural networks and regression analysis model.Using the power lines maintenance plan of Liaoning Electric Power Company as background, and according to the chromatic theory of graph theory, this paper constructs the optimized model for power grid maintenance, and introduces the concept of cost-benefit analysis. Further, this paper uses AHP(analytic hierarchy process) and offers one kind of improved fish swarm algorithm in order to get the optimized solution. The algorithm in this paper uses roulette method to select mobile activity, and spontaneously adjusts mobile strategy and activity parameter so as to overcome the shortcomings of basic fish swarm algorithm including slow convergence speed and tendency into local optimal solution.This thesis introduces the concept of residential unsatisfactory degree. Based on the idea of physical programming, this paper constructs multiple-purpose and multiple-region model for power limiting in peak load shifting control. This model not only covers economical efficiency of electricity distribution, but also covers its social benefit, which makes this model itself more feasible. According to fuzzy decision theory, this paper further offers multiple-purpose and multiple-region coordinating and control strategy for power limiting in peak load shifting control.The mathematical models and optimized control methods constructed in this paper have all been tested through simulating tests. The result of the tests shows that all the models and methods are reasonable and feasible.更多还原