با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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1 |
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 |
2 |
A new Exponentially Expanded Robust Random Vector Functional Link Network based MPPT model for Local Energy Management of PV-Battery Energy Storage Integrated Microgrid
یک مدل جدید MPPT مبتنی بر شبکه پیوندی کاربردی وکتور قدرتمند و توسعه یافته با استفاده از نمادهای جدید ، برای مدیریت انرژی محلی با استفاده از PV باتری ذخیره سازی میکروگرید یکپارچه-2020 In this paper a new Maximum Power Point Tracking (MPPT) model is presented for Local Energy Management
(LEM) of a multiple Photovoltaic (PV) based microgrid. To detect accurate MPP references under local
uncertainties, a non-iterative Linear Recurrence Relationship (LRR) based PV model is incorporated with PV
penetration index. A robust, accurate and fast Exponentially Expanded Robust Random Vector Functional Link
network (EE-RRVFLN) based MPPT algorithm is constructed with an exponentially expansion unit to address
positive dynamic volatility and a direct link relationship to address null vs. positive volatility in PV data. The
robustness is further incorporated by a maximum likelihood estimator using Huber’s cost function, where both
input and output weights are optimally estimated by targeting reduction in MPP tracking error. An Assessment
Index (i.e. MPPT error related) based Distributed Adaptive Droop (DAD) mechanism is suggested as Primary
Controller (PC) for effective power sharing among multiple PVs. A detailed case study is presented to evaluate
the accuracy of the proposed model in MATLAB simulation, as well as in dSPACE 1104 based Hardware-in-
Loop (HIL) platform. Historical data for different intervals/ seasons, partial shading, improved LEM validations
(simulation and HIL) are considered as different cases to establish the excellence of the proposed approach,
as compared with conventional Functional Link Neural Network (FLNN) and Random Vector Functional Link
Neural Network (RVFLNN). Keywords: Distributed adaptive droop | Exponentially Expanded Robust Random | Vector functional Link Network | Local Energy Management | Maximum power point tracking | Photovoltaic systems |
مقاله انگلیسی |