A Study On Urban Distribution Network Planning Optimal Algorithm, Assessment System And Intelligent Technology

With the rapid development of national economy,the problem of development unbalance in power transmission system and distribution system gradually emerged,and the problems existing in distribution network have been expressed focused on urban power grid.In this paper,optimization planning method and mathematical model for urban power grid planning are improved integrating with urban development planning.A new biological heuristic optimization algorithm mechanism and its application in power grid planning are researched. By using the advanced idea of software development,a scientific and practical urban power grid intelligent planning system based on GIS is designed and developed.The issues of information security and selecting communication means in distribution automation system are researched,and the respective assessment index system and method are presented.The solution of these proposed problems provide scientific methods and practical tools for urban power grid optimization planning.Thesis results summarized as follows:1.Study the mathematical models and optimization algorithms of substation planning in urban power grid planning,take transformer substation capacity and power supply radius as penalty function,geographical feasibility as constraint condition to improve the economic model of substation planning,and propose the mathematical model of two-level voltages united planning in big city.The calculation results show that the model proposed improved the economics of urban power grid planning,the balance of transformer substation load and practicality in geography of transformer substations positions.2.A new colony intelligence optimization Algorithm—Bacterial Colony Chemotaxis algorithm(BCC) is researched deeply.The influence of the colony control parameter to the performance of BCC is studied,and the control strategies of parameters are proposed.The basic BCC algorithm has the problem of local minimum,therefore,in the improved algorithm some improvements,for example adjusting the perception scope self-adaptively,adding differential evolutionary individual while the bacteria choice next location and taking Chaos Transfer mechanism are adopted,and the ability to get rid of the local optimum is greatly improved.The experimental results show that the new algorithm improves the global optimization performance.Research results lay the foundations for further study.Applying the algorithm to substation planning obtains good result.3.Combining the advanced theoretical harvests in recent years in the field of planning, design idea of urban power network intelligent planning platform which integrates data management and intelligent planning is proposed.Learning from foreign experience in large-scale software development,three-layer software architecture basing on COTS components technology is designed,which proposes the multiplexing ratio and the application flexibility of the software.The architecture design,the business process logic design,the function design,interface design,algorithm design and the implementary model of the system are presented.The software has been completed,and gains Science & Technology Achievement Certificate via appraisal of experts of Shandong Province Science and Technology Hall Organization.This Project generally reaches the international advanced level.4.As to the problem of selecting communication means in distribution automation system(DAS),an multi-index evaluation system which combines the qualitative and quantitative analysis together to evaluate different wireless communication means is established,including three factors that are economy,reliability and technology.At the same time the Preferable Data Envelopment Analysis(DEA) method is applied to comprehensive evaluate the benefit of the evaluated unit,the communication means which has the highest benefit index will be selected as the preferred means.The evaluation result provides scientific evidence for selecting the communication network of DAS.5.With the support of the National Natural Science Foundation Project(50877026), information security of distribution automation system is studied.According to information security assessment standard ISO/IEC 17799:2005,analyzes the indices,which affect the information security levels of assets,and establish an evaluation index system which reflects information security risk levels comprehensively from multi-hierarchy and multi-attribute. Assessment method of information security levels in DAS based on FAHP and improved D-S evidence theory is presented.The assessment result has feasibility and guidance in DAS safe operation management and project construction.