مشخصات مقاله | |
انتشار | مقاله سال 2018 |
تعداد صفحات مقاله انگلیسی | 5 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
منتشر شده در | نشریه IEEE |
نوع مقاله | ISI |
عنوان انگلیسی مقاله | Agent-based self-adaptive DC-DC converter for hybrid energetic system control |
ترجمه عنوان مقاله | مبدل DC-DC خود انطباق مبتنی بر عامل برای کنترل سیستم پر انرژی هیبریدی |
فرمت مقاله انگلیسی | |
رشته های مرتبط | مهندسی برق |
گرایش های مرتبط | مهندسی الکترونیک، الکترونیک قدرت، مهندسی کنترل |
مجله | ششمین کنگره و نمایشگاه شهرها و شبکه های هوشمند استانبول – 6th International Istanbul Smart Grids and Cities Congress and Fair |
دانشگاه | Mohammadia School of Engineers (EMI) – Mohammed V University – Morocco |
کلمات کلیدی | مبدل های DC-DC؛ کنترل ولتاژ گذرگاه DC؛ سیستم های چند عامل؛ متلب Simulink؛ MaximJX؛ مبدل های DC-DC خودانطباق |
کلمات کلیدی انگلیسی | DC-DC converters; DC bus voltage control; Multi Agent System (MAS); Matlab Simulink; MaximJX; selfadaptive DC-DC converters |
شناسه دیجیتال – doi |
https://doi.org/10.1109/SGCF.2018.8408939 |
کد محصول | E8870 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
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I. INTRODUCTION
The hybrid energetic system (HES) is generally an energy system operating simultaneously several sources with different capacities and proprieties. It is principally based on renewable energy sources (RES) and distributed generators DG. Their distributed production should meet an increasingly variable demand. The RES depend strongly on meteorological conditions, thereby they cannot be considered as a continuous energy supply and therefore behave as passive generator. To balance between consumption and generation the RES should be coupled with other sources and storage systems. Diversifying the energy sources is now a real issue. Hybridizing the RES with the storage system and DG as cogeneration system can meet the distributed production requirements allowing the RES intensive integration. The HES ensure a long-term energetic availability and it is able to deliver a subscribed power when the RES act as active generators. The HES can be shown as a supply system consisting of small distributed energy systems [1-2]. However, the DGs and the storage technologies life cycle should be respected. To take full advantages of the HES a distributed energy management (DEM) is necessary. It deals with the simultaneous operation of the different generators, the storage system and DGs constraints, and the variable load demand. Furthermore; other requirements should be satisfied in the DEM, as voltage limit control, the produced energy cost, the system effectiveness, the energy quality improvement, the energy flexible use and the environmental issue. Thanks to DEM, the HES can produce and consume effectively depending on the capacity of each generator and the loads’ needs. The HES studied in this paper consists of PV generator and wind turbine as a RES and battery as storage technology system. This configuration can lead to prematurely lose battery life, because of the quickly battery charge and discharge. Many studies have dealt with the effective battery use [3-4]. Linking a hybrid generator to the RES and the battery as the Fuel cell (FC)-electrolyser combination generator is the HES suggested in this paper. A custom role for power electronics is the development of HES, by meeting the distributed production constraints. Several studies have brought more interest to HES control containing DGs, RES and storage technologies. The Fuzzy logic and neural networks [5] were the subjects of many studies regarding the HES control, but the complexity and the difficulty in their implementation and comprehension can be their main inconvenient. Furthermore, these approaches can make the system non-scalable which conflicting with the distributed generation and therefore the future energy networks. This paper proposes a distributed energy management system based on the bus voltage control allowing simultaneously a flexible energy generation and consumption depending on the capacity of each generator and the variable demand by the bias of multi-agent system (MAS). |