船舶梯形电网脆性风险熵分析与网络重构优化研究

项目名称： 船舶梯形电网脆性风险熵分析与网络重构优化研究

项目编号： No.61304214

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 白杰

作者单位： 上海交通大学

项目金额： 26万元

中文摘要： 课题以舰船梯形配电网络为对象，研究舰船配电网络规划和电网重构在网络生命力、可靠性和经济性指标下的电能优化管理问题，具体包括舰船梯形配电网络的脆性风险熵分析与评价，电网重构建模及优化算法两个基本科学问题。课题考虑Cyber-physical系统特性，引入脆性风险熵分析,凸逼近模型和模拟物理动态的智能体方法，重点研究：①配电网络分析，研究梯形配电网络的脆性的风险熵评价和演化；②电力系统网络重构建模，研究在Cyber-physical系统特性下的电网重构与服务恢复优化建模问题，包括静态、动态与多智能体模型；③重构算法开发及分析,研究稳态模型下兼顾时间与优化的逼近类算法以及动态模型下的多智能体合作博弈的自组织涌现性算法。 项目研究将为舰船梯形配电网络的脆弱性分析和网络重构优化领域提供理论指导和技术支持，具有重要应用价值。

中文关键词： 梯形舰船电力系统；脆性分析；网络重构与优化；基于多智能体的能量管理；

英文摘要： The project focuses on zonal distribution network, and studies the energy optimization and management issues of ship power distribution network planning and reconfiguration under the network vitality, reliability, and economic indicators. Here, two basic scientific problems include the quantitative analysis of vulnerability of ship zonal distribution network, and the reconfiguration optimization modeling of shipboard power system. The project considers the characteristics of Cyber-physical systems, and introduces risk entropy analysis of vulnerability, convex approximation modeling, and the multi-agent system methods associated with physical dynamics: ①The distribution network analysis. The project introduces risk entropy evaluation and evolutionary analysis of zonal distribution network vulnerability ; ② Shipboard Power System reconfiguration modeling. The project highlights Shipboard Power System reconfiguration and Service recovery optimization modeling with Cyber-physical characteristics, and includes steady-state models, dynamic system models and multi-agent system models; ③ Reconfiguration algorithm development and analysis. The project will focus on approximation algorithms giving consideration to both time and optimization quality for solving the steady-state model, and also on the self-organizing and e

英文关键词： zonal shipboard power system；vulnerability analysis；network reconfiguration and optimization；energy management based on multi-agent；