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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 |
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