可伸缩矢量图（SVG）是一种基于文本的标准图形描述语言，研究和建立一套基于SVG的图形系统是调度自动化系统图形信息共享和标准化的关键课题之一。基于图形数据一体化的思想提出了面向调度应用的图形模型，实现不同图形格式向SVG标准的转换及拓扑结构的自动生成，并探讨了SVG在调度可视化中的应用。基于SVG的图形系统可以作为不同系统间图形信息共享的平台，同时保证了图形发布的实时性，也为调度可视化提供了基础。

针对当前广域测量系统WAMS尚没有统一的信息模型，不能与其它应用系统有效信息共享的现状，对IEC61970标准的公共信息模型CIM进行了深入研究，并且结合WAMs的特点及其在电力系统中的应用情况，提出了基于CIM的WAMS信息模型，定义了WAMS的CIM类及其相应的属性信息。在该模型扩展的基础之上，提出了一个基于消息中间件的电力信息集成系统，以说明该信息模型的应用前景。

This paper presents an improved particle swarm optimization algorithm (IPSO) for power system unit commitment. IPSO is an extension of the standard particle swarm optimization algorithm (PSO) which uses more particles' information to control the mutation operation, and is similar to the social society in that a group of leaders could make better decisions. The convergence property of the proposed IPSO method is analyzed using standard results from the dynamic system theory and some guidelines are derived for proper algorithm parameter selection. A new adaptive strategy for choosing parameters is also proposed to assure convergence of IPSO method, and the proposed algorithm adopts the orthogonal design to generate initial population that are scattered uniformly over feasible solution space. Furthermore, this method combines relaxation technique to zero-one variable and penalty function method to transform the problem to a nonlinear continuous variable optimization one by taking into account more constraints. The feasibility of the proposed method is demonstrated from 10 to 100 unit systems, and the test results are compared with those obtained by Evolutionary Programming (EP) and Genetic Algorithm (GA) in terms of solution quality and convergence properties. The simulation results show that the proposed method is capable of obtaining higher quality solutions.

This paper presents a pooled-neighbor swarm intelligence approach (PNSIA) to optimal reactive power dispatch and voltage control of power systems. The proposed approach uses more particles' information to control the mutation operation. The proposed PNSIA algorithm is also extended to handle mixed variables, such as transformer taps and reactive power source installation, using a simple scheme. PNSIA applied for optimal power system reactive power dispatch is evaluated on an IEEE 30-bus power system and a practical 118-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. Simulation results showed that the proposed approach is superior to current methods for finding the optimal solution, in terms of both solution quality and algorithm robustness.

在介绍和引入移动智能体（MobileAgent，MA）技术基础上，采用TASE。2协议，对多级电力控制中心互联需求和策略进行了研究，提出了一个基于MA的多级电力控制中心互联通信平台结构，并对其实现及基于智能体的网络控制和诊断进行了研究实践表明该通信平台结构可行，由其实现的系统稳定可靠、通信效率高，系统维护方便。