عنوان مقاله
ادغام مدیریت دارایی و شبکه هوشمند با سیستم هوشمند مدیریت شبکه
فهرست مطالب
مقدمه
مفهوم و الگوریتمIGMS
مدل سیستم T&D شبیه سازی شده
استراتژی کنترل پخش بار (جریان برق) IGMS
استراتژی تعمیرIGMS
نتیجه گیری
بخشی از مقاله
بهینه سازی جریان برق شبکه جدیداً نصب شده
کنترل بهینه جریان برق زمانی که کلیه تجهیزات برق در شکل 3 در شرایط جدیداً نصب شده قرار دارند، مد نظر قرار گرفته است. نرخ خرابی تجهیزات در این مورد ثابت فرض شد. در کنترل جریان برق، سوئیچ های هر دو طرف خطوط برق توسط الگوهای مختلفی راه اندازی می شوند.
الگوی 32 تلفاتT و D را به حداقل می رساند زیرا جریان برق راکتیوبالایی در خط 3 با65.4MVA در الگوی 0 برقرار می باشد زمانی که کلیه خطوط به صورت نشان داده شده در شکل 4 وصل شده باشند. در این مورد، هزینه کل پائین بوده و الگوی 32 به عنوان کنترل جریان برق بهینه تبدیل شناخته می شود.
کلمات کلیدی:
Integration of Asset Management and Smart Grid with Intelligent Grid Management System M. Hanai1 , H. Kojima1 , N. Hayakawa1 , K. Shinoda2 1 EcoTopia Science Institute, Nagoya University 2 Department of Electrical Engineering and Computer Science, Nagoya University Furo-cho, Chikusa-ku, Nagoya 464-8603. Japan and H. Okubo3 3 Department of Electrical and Electronics Engineering, Aichi Institute of Technology 1247, Yachigusa, Yakusa-cho, Toyota 470-0392, Japan ABSTRACT Electric power transmission and distribution (T and D) systems are composed of a great deal of aged apparatus, which may cause a decrease in reliability owing to their deterioration. In order to maintain high efficiency and high quality in T and D systems, the authors have proposed an “intelligent grid management system” (IGMS), which determines the optimum maintenance strategy and optimum power flow control based on condition monitoring and diagnostic results of the operating power apparatus. This means that the IGMS essentially includes both concepts of an asset management system and a smart grid. Further, the IGMS optimizes power flow routes and maintenance plans based on the failure risk, T and D loss, overload operation, life estimation of the power apparatus, customer outage, and other metrics. The impact of individual apparatus failure affects the entire T and D system’s performance, causing blackouts and secondary failures. Reduction in reliability of whole system is highly dependent on ageing of the materials. The IGMS evaluates all of the events occurring in the T & D system as the cost. Additionally, the risks are evaluated in the cost according to the impact of the failure rate estimated by the condition monitoring diagnosis results of the power apparatus. Insulation system determines the transition in reliability and maintenance cost of the system. In this paper, the IGMS is applied to T and D system models including aged apparatus, such as transformers and circuit breakers, and suitable power flow routes and maintenance strategies are derived. Consequently, by the effective application of the IGMS, the system reliability can achieve an optimum state, and the total cost can be minimized. Index Terms — Energy management, diagnosis, risk analysis, maintenance, condition monitoring, smart grid, asset management, power flow control, power grids. 1 INTRODUCTION HIGH reliability and quality in electric power supply systems are required because of a rise in the standard of living. A “smart grid” is proposed as one of the solutions of this problem. A T and D system is composed of many apparatus that are usually aged individually, and suitable maintenance that ensures the reliability of a T and D system is required. The reliability of a T and D system usually increases with maintenance cost. On the other hand, the cost of an event such as an accident or an outage decreases as the system reliability increases [1–4]. Furthermore, when electric power flows through low-efficiency apparatus and long-distance transmission lines, the power delivery cost should increase. To optimize the balance between cost efficiency and quality improvement in an electric power supply, it is necessary to diagnose the present condition and to estimate the future performance of operating apparatus in the T and D system based on a condition monitoring and diagnosis (CMD) system. Most of significant parameters in terms of the reliabilities and reduction in reliabilities of materials are taken from literatures from the point of view of performance and ageing of insulation materials. Our purpose is to operate a T and D system effectively by maintaining a balance between cost and quality from a short time frame to long periods of years. As a method that solves this problem, we propose an intelligent grid management system (IGMS). We have been conducting research on the IGMS for several years [5–12]. In this paper, the concept, algorithm, and effectiveness of IGMS are presented. The objective function of the IGMS includes Manuscript received on 31 January 2013, in final form 24 July 2013. both: 1) the costs of the T and D loss and the outage loss
