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نتیجه جستجو - Distribution system operator

تعداد مقالات یافته شده: 6
ردیف عنوان نوع
1 Internet-of-things-based optimal smart city energy management considering shiftable loads and energy storage
مدیریت انرژی بهینه شهر هوشمند مبتنی بر اینترنت اشیا با توجه به بارهای قابل تغییر و ذخیره انرژی-2020
Formulating a novel mixed integer linear programing problem, this paper introduces an optimal Internet-of-Things-based Energy Management (EM) framework for general distribution networks in Smart Cities (SCs), in the presence of shiftable loads. The system’s decisions are optimally shared between its two main designed layers; a “core cloud” and the “edge clouds”. The EM of a Microgrid (MG), covered by an edge cloud, is directly done by its operator and the Distribution System Operator (DSO) is responsible for optimising the EM of the core cloud. Changing the load consumption pattern, based on market energy prices, for the edge clouds and their peak load hours, the framework results in decreasing the total operation cost of the edge clouds. Using the optimal trading power of the MGs aggregators as the input parameters of the core cloud optimisation problem, the DSO optimises the network’s total operation cost addressing the optimal scheduling of the energy storages. The energy storages are charged in low energy prices through the purchasing power from the market and discharged in high energy prices to meet the demand of the network and to satisfy the energy required by the edge clouds. As a result, the shiftable loads and the energy storages are used by the DSO and the MGs to meet the energy balance with the minimum cost.
Keywords: Energy management | Internet-of-Things | Microgrids | Optimal scheduling | Renewable energy sources
مقاله انگلیسی
2 Flexibility management model of home appliances to support DSO requests in smart grids
مدل مدیریت انعطاف پذیری لوازم خانگی برای پشتیبانی از درخواست DSO در شبکه های هوشمند-2020
Several initiates have been taken promoting clean energy and the use of local flexibility towards a more sustainable and green economy. From a residential point of view, flexibility can be provided to operators using home-appliances with the ability to modify their consumption profiles. These actions are part of demand response programs and can be utilized to avoid problems, such as balancing/congestion, in distribution networks. In this paper, we propose a model for aggregators flexibility provision in distribution networks. The model takes advantage of load flexibility resources allowing the re-schedule of shifting/real-time home-appliances to provision a request from a distribution system operator (DSO) or a balance responsible party (BRP). Due to the complex nature of the problem, evolutionary computation is evoked and different algorithms are implemented for solving the formulation efficiently. A case study considering 20 residential houses equipped each with seven types of home-appliances is used to test and compare the performance of evolutionary algorithms solving the proposed model. Results show that the aggregator can fulfill a flexibility request from the DSO/BRP by rescheduling the home-appliances loads for the next 24-h horizon while minimizing the costs associated with the remuneration given to end-users
Keywords: Demand response | Flexibility | Home appliances | Local energy management | Smart grids
مقاله انگلیسی
3 An efficient interactive framework for improving resilience of power-water distribution systems with multiple privately-owned microgrids
یک چارچوب تعاملی کارآمد برای بهبود مقاومت در برابر سیستم های توزیع آب و انرژی با چندین میکروگرید متعلق به بخش خصوصی-2020
Resilience improvement of power distribution networks against natural disasters is an important problem. Water network similar to other important infrastructures depends on power networks. In this paper, resilience improvement is defined as increasing the users’ accessibility to water and power after natural disasters. Microgrids with appropriate operation can provide energy to restore disconnected loads in distribution networks. In the proposed interactive framework, a stochastic energy management program for microgrids is designed that not only determines the amount of energy can be delivered to distribution systems, but also considers the reliability of local loads during emergency conditions. Each microgrid provides a list of bid-quantity energy blocks to the distribution system operator (DSO) during the emergency period. Then, the DSO chooses the best plan to restore disconnected loads considering inaccessibility values to power and water and also the damage of power and water distribution networks. Demand response actions in microgrids are also considered as effective tools for the energy management program, and their impact on the distribution system resilience is investigated. The proposed model is tested on the modified IEEE 33-bus distribution system with multiple microgrids, and the effectiveness of the proposed method is validated accordingly.
Keywords: Microgrids | Natural disasters | Resilience | Stochastic linear programming | Water network
مقاله انگلیسی
4 A novel approach for multi-objective optimal scheduling of large-scale EV fleets in a smart distribution grid considering realistic and stochastic modeling framework
یک رویکرد جدید برای برنامه ریزی بهینه چند منظوره از ناوگان های مقیاس بزرگ EV در یک شبکه توزیع هوشمند با توجه به چارچوب مدل سازی واقع گرایانه و تصادفی-2020
The ever-increasing number of grid-connected electric vehicles (EVs) has led to emerging new opportunities and threats in electrical distribution systems (DS). Developing a realistic model of EV interaction with the DS, as well as developing a strategy to optimally manage these interactions in line with distribution system operators (DSOs) intentions, are the most important prerequisites for gaining from this phenomenon especially in modern smart distribution systems (SDS). In this paper, a comprehensive model describing the electric vehicle integration to an SDS is presented by considering the real-world data from EV manufacturers and DSOs. Moreover, a novel energy management strategy (EMS) based on the multi-objective optimization problem (MOOP) is developed to fulfill the operational objectives of DSO and EV owner, including peak load shaving, loss minimization, and EV owner profit maximization. In this regard, an innovative dimension reduction approach is presented, to make it feasible to apply the heuristic optimization methods to a MOOP with a large number of decision variables. Thanks to this method, the improved electromagnetism like algorithm (IEMA) is employed to perform the multi-objective energy scheduling for a large-scale EV fleet. In addition, a novel method is devised for estimating the optimal hosting capacity of an SDS in adopting EVs without the need for sophisticated computations. The presented method is applied to the modified IEEE-33 bus test system. Obtained results reveal that employment of a realistic model concludes to more accurate results than a simplified model. In addition, the efficiency of the proposed EMS in satisfying EV owner and DSO objectives are approved by analyzing obtained computation results.
Keywords: Smart grid | Energy management | Electric vehicle | Vehicle to grid | Multi-objective optimization
مقاله انگلیسی
5 ارائه قابلیت اطمینان مشتری مبتنی بر بازار در سیستم‌های توزیع براساس نظریه بازی: رویکرد بهینه ‌سازی چند سطحی
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 29
برنامه‌های افزایش قابلیت اطمینان سنتی در زمینه خدمات توزیع برق به طور متوسط بر بهبود قابلیت اطمینان مشتریان (مصرف کنندگان) خدمات توزیع متمرکز است. ارائه سطوح قابلیت اطمینان هدفمند در هزینه‌های عملکرد بهینه برای مشتریان برنامه‌های توزیع مجزا یکی از ویژگی‌های مهم سیستم‌های توزیع هوشمند است که در سال‌های اخیر مورد توجه بوده ‌است. در نتیجه، یک رویکرد مبتنی بر بازار برای شناسایی حداقل هزینه عملکرد سیستم توزیع مورد نیاز است که ترجیحات قابلیت اطمینان مشتریان (هزینه‌های قطع برق) را در یک عملیات سیستم رقابتی در نظر بگیرد. در این مقاله، ما رویکرد مبتنی بر بازار را برای تنظیم ترجیحات قابلیت اطمینان مشتری در سیستم توزیع هوشمند معرفی می‌کنیم. رویکرد پیشنهادی از تئوری بازی به عنوان یک ابزار قدرتمند برای مدل‌سازی تعارضات بین شرکت کنندگان سیستم توزیع (مشتریان و سودمندی) استفاده می‌کند. در این مدل، مشتریان سطح قابلیت اطمینان مطلوب خود را پیشنهاد خواهند داد، و اپراتور سیستم توزیع (DSO)، تخصیص قابل‌اطمینان را در میان مشتریان ایجاد می‌کند که هزینه بهره‌ برداری سیستم توزیع را به حداقل می‌رساند. تعاملات بین شرکت کنندگان مدل شده‌اند و مدل با استفاده از یک رویکرد بهینه‌سازی دوسطحی حل می‌شود تا سطح قابلیت اطمینان بهینه مشتری تعیین شود. این مدل را می توان برای راه‌اندازی شبکه موجود یا در صورتی که یک برنامه بر روی افزایش قابلیت اطمینان سرمایه‌گذاری می‌کند، بکار برد. مدل پیشنهادی می‌تواند به طور مناسب مشارکت مشتریان سیستم توزیع را با ارائه چندین گزینه اطمینان از طریق ارتباطات دوطرفه بین مشتریان و سودمندی سیستم توزیع تشویق کند. آزمونهای شبیه ‌سازی بر روی یک سیستم توزیع نمونه ویژگی‌های قابل‌توجه مدل قابلیت اطمینان توزیع پیشنهادی را نشان می‌دهند.
اصطلاحات شاخص : اپراتور سیستم توزیع | قابلیت اطمینان سیستم | بهینه‌ سازی دوسطحی | نظریه بازی
مقاله ترجمه شده
6 Stochastic multi-objective operational planning of smart distribution systems considering demand response programs
برنامه ریزی عملیاتی چند هدفه تصادفی توزیع کنندگان هوشمند با توجه به برنامه پاسخ به تقاضا-2014
The development of smart grids offers new opportunities to improve the efficiency of operation of Distributed Energy Resources (DERs) by implementing an intelligent Distribution Management System (DMS). The DMS consists of application systems that are used to support the DERs management undertaken by a Distribution System Operator (DSO). In this paper, a conceptual model for a Demand Response Management System (DRMS), conceived as an application system of a DMS, is presented. Moreover, an optimization tool, able to consider the available DERs (conventional or renewable Distributed Generations (DGs) and demand response) is proposed. The optimization tool uses a stochastic multi-objective method in order to schedule DERs and aims at minimizing the total operational costs and emissions while considering the intermittent nature of wind and solar power as well as demand forecast errors. In order to facilitate small and medium loads participation in demand response programs, a Demand Response Provider (DRP) aggregates offers for load reduction. The proposed scheduling approach for DERs is tested on a 69-bus distribution test system over a 24-h period. Keywords: DMS Smart grid Emissions Multi-objective optimization Demand response
مقاله انگلیسی
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