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| 摘要: |
| 电力系统的恢复是一个多变量、多目标、多步骤、非线性的优化问题，以往预先大量的潮流和稳定计算而制定的系统恢复计划很难跟上系统的变化。而依靠智能性的专家系统在很大程度上可以解决这个难题。为了提高专家系统的搜索效率，在使用传统的深度优先搜索策略的基础上，结合启发式算法、关键路径算法，以及Petri网，Tabu search等优化算法短时间内给出一个最合适的方案。该专家系统由人工智能语言AMZI Prolog和C 混合编程实现，既考虑到传统智能语言的优越性，又兼顾到使用流行的面向对象语言实现友好的人机接口。 |
| 关键词: 电力系统 结构恢复 专家系统 电网 启发式算法 |
| DOI： |
| 分类号:TM711 TP182 |
| 基金项目: |
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| Application of expert system in power system structure restoration |
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XU Sheng FANG Xin-yan
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| Abstract: |
| The restoration of power system is a multi-variant ,multi-object,multi-step and non-linear optimization problem.The system restoration schemes,formulated through plentiful power flow and stability calculation before the breakage,can hardly follow the change of the system.With the intelligent expert system,the problem can be resolved to a great extent.To improve its searching efficiency and reach the most optimal plan in short time ,the traditional depth first search strategy is combined with other algorithms ,such as heuristic arithmetic,critical path method,Petri net and Tabu search.AMZI Prolog and C++language are applied to build the expert system,which takes the advantages of both traditional intelligent language and OOP language. |
| Key words: expert system,power system restoration,AMZI PrologTF tf,ENGid CurEng, |
