A new approach to secure economic power dispatch

This article presents a new nonlinear convex network flow programming model and algorithm for solving the on-line economic power dispatch with N and N−1 security. Based on the load flow equations, a new nonlinear convex network flow model for secure economic power dispatch is set up and then transformed into a quadratic programming model, in which the search direction in the space of the flow variables is to be solved. The concept of maximum basis in a network flow graph was introduced so that the constrained quadratic programming model was changed into an unconstrained quadratic programming model which was then solved by the reduced gradient method. The proposed model and its algorithm were examined numerically with an IEEE 30-bus test system on an ALPHA 400 Model 610 machine. Satisfactory results were obtained.     

Optimal reactive power dispatch using an adaptive genetic algorithm

This paper presents an adaptive genetic algorithm (AGA) for optimal reactive power dispatch and voltage control of power systems. In the adaptive genetic algorithm, the probabilities of crossover and mutation, p_c and p_m, are varied depending on the fitness values of the solutions and the normalized fitness distances between the solutions in the evolution process to prevent premature convergence and refine the convergence performance of genetic algorithms. The AGA applied for optimal power system reactive power dispatch is evaluated on an IEEE 30-bus power system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss of the power system.     

动态优化调度走向实用的策略与段落全局优化

本文在总结动态优化调度在实际系统中应用经验的基础上,提出了动态优化调度走向实用的策略及以段落一局优化算动态化调度的方法,该策略可以较地贯彻电力系统运行“安全,优质,经济”的原则,段落全局优化方法则可以一次性处理各种负荷紧段落,包括单调升降段落及以往方法只有通过反向导引才能够处理的陡升连续等类的段落,具有计算时间短,节省内存等特点,为动态优化调度在电力系统中的进一步实用化打下了坚实的基础。     

一种基于数据相关性的乱序处理器验证方法

乱序执行是现代微处理器设计中普遍采用的提高流水线性能的方法,但乱序执行并乱序退出的全乱序结构在超标量处理器中应用并不普遍,这种全乱序的结构对基于参考模型的处理器正确性验证提出了巨大的挑战。主要介绍了从处理器的程序行为是否正确的最终标准——程序员可见的结构变量按程序行为进行顺序变化的角度对全乱序结构的处理器验证提出了一种全新的解决方法。     

基于差分蜂群算法的电力系统经济负荷分配

针对电力系统经济负荷分配问题,提出一种有效的差分蜂群算法．受差分进化算法的启发,该算法基于差分进化操作改进了雇佣蜂的搜索方式,提高了探索能力和收敛速度．此外,提出一种有效的修复机制以保证新个体的可行性．该算法在带有阀点效应和多燃料特征的典型电力系统经济负荷分配问题上进行了测试．仿真结果验证了所提算法的有效性．     

电网实时信息的二次开发

以实现电网调度系统SCADA系统实时信息共享为基础 ,提出调度MIS系统的设计思路 ,分析了应用调度MIS系统所需要的SCADA实时数据种类 ,介绍了在数据共享的基础上开发的以调度MIS系统实现的有关电网实时信息二次应用功能     

基于手机模块上的短信服务系统的研究和探讨

短信系统无论是在人们的现代生活中还是在企业等各行业的现代化办公中发挥越来越重要的作用,本文通过基于手机模块短信系统的现状、设计与应用功能实现的分析,结合开发商和用户需求的实际,以及对短信模块设计中一些技术设计思想要求的介绍,从多角度分析说明了现阶段手机短信系统发挥的作用、实现的价值和意义,存在的问题和以及社会对短信系统的期望和要求,希望达到的效果,并从理论和实践上说明了其可行性、实用性。     

Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch

At the central energy management center in a power system, the real time controls continuously track the load changes and endeavor to match the total power demand with total generation in such a manner that the operating cost is minimized while all the operating constraints are satisfied. However, due to the strict government regulations on environmental protection, operation at minimum cost is no longer the only criterion for dispatching electrical power. The idea behind the environmentally constrained economic dispatch formulation is to estimate the optimal generation schedule of generating units in such a manner that fuel cost and harmful emission levels are both simultaneously minimized for a given load demand. Conventional optimization techniques become very time consuming and computationally extensive for such complex optimization tasks. These methods are hence not suitable for on-line use. Neural networks and fuzzy systems can be trained to generate accurate relations among variables in complex non-linear dynamical environment, as both are model-free estimators. The existing synergy between these two fields has been exploited in this paper for solving the economic and environmental dispatch problem on-line. A multi-output modified neo-fuzzy neuron (NFN), capable of real time training is proposed for economic and environmental power generation allocation.This model is found to achieve accurate results and the training is observed to be faster than other popular neural networks. The proposed method has been tested on medium-sized sample power systems with three and six generating units and found to be suitable for on-line combined environmental economic dispatch (CEED).     

电调自动化系统和水调自动化系统联合应用集群技术

介绍在电调和水调自动化系统中,研发的数据库互相独立、应用相互交叉、基于Cluster共享数据库技术的联合应用系统。     

一种并发PASCAL语言的设计与实现

本文论述了作者设计的一种并发PASCAL语言,语言中采用了作者提出的“可更换式进程调度”思想,使本语言不但能满足不同用户对调度策略的需求,同时还可以使本系统开销保持在很低的水平.“可更换式进程调度”的含义是:在并发PASCAL语言的进程调度中,不是采用传统的固定的调度算法模式,而是允许程序员按照不同需求,使用不同算法的进程调度内核程序.