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New design of robust PID controller based on meta‐heuristic algorithms for wind energy conversion system

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This article is published in Wind Energy.The article was published on 2020-02-01. It has received 47 citations till now. The article focuses on the topics: PID controller.

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Demand Response Based Optimally Enhanced Linear Active Disturbance Rejection Controller for Frequency Regulation in Smart Grid Environment

TL;DR: In this article , a hybrid hierarchical demand response (DR) control mechanism is developed by incorporating the inherent communication latency in the loop, and the proposed controller's efficacy in terms of system dynamics is contrasted with LADRC in order to examine its adequacy for the studied power system.
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Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy

TL;DR: In this article, the authors present a comprehensive review on electricity market price and load forecasting, while observing the scientific approaches and techniques based on wind energy and show the main variables of developing electricity markets through wind energy.
References
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Journal ArticleDOI

The Whale Optimization Algorithm

TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Journal ArticleDOI

A particle swarm optimization approach for optimum design of PID controller in AVR system

TL;DR: The proposed PSO method was indeed more efficient and robust in improving the step response of an AVR system and had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency.
Journal ArticleDOI

Hybrid Whale Optimization Algorithm with Simulated Annealing for Feature Selection

TL;DR: The experimental results confirm the efficiency of the proposed approaches in improving the classification accuracy compared to other wrapper-based algorithms, which insures the ability of WOA algorithm in searching the feature space and selecting the most informative attributes for classification tasks.
Journal ArticleDOI

Optimizing connection weights in neural networks using the whale optimization algorithm

TL;DR: The qualitative and quantitative results prove that the proposed WOA-based trainer is able to outperform the current algorithms on the majority of datasets in terms of both local optima avoidance and convergence speed.
Journal ArticleDOI

The wind energy (r)evolution: A short review of a long history

TL;DR: In this article, the authors trace the long and difficult steps of wind energy development from the California era to the construction of huge offshore wind parks worldwide, highlighting the prospects and the main challenges for wind energy applications towards the target of 1000 GW of wind power by 2030.
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