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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 |