Research on Wind Power Grid Integration Power Fluctuation Smoothing Control Strategy Based on Energy Storage Battery Health Prediction by Bin Cheng, Jiahui Wu, Guancheng Lv, Zhongbo Li

“…During its use, the health of the energy storage system, defined as the ratio of the current available capacity to the initial capacity, deteriorates, leading to a reduction in the available margin for power fluctuation smoothing. …”
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RETRACTED ARTICLE: Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles by Juntao Zhuang, Chengwei Wang, Qiong Cheng, Samad Nourmohammadi, Khalid A. Alnowibet

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Energy Storage Impact on CO₂ Emissions Reduction in an Islanded Microgrid by Nicola Panzavecchia, Giuseppe Caravello, Antonio Cataliotti, Valentina Cosentino, Giovanni Tine, Dario Di Cara

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Parameter Matching and Optimization of Power-split HEV Transmission System by He Jianqiang, Wang Shaohua, Yao Yong

“…The non-dominated sorting genetic algorithm is applied to optimize the characteristic parameters of the planetary gear and main reduction ratio. …”
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Application of Support Vector Machines in High Power Device Technology by RAO Wei, LI Yong, YAN Ji

“…As a machine learning algorithm, support vector machine(SVM) has the advantages of good nonlinear processing ability, theoretical global optimum and overcoming the curse of dimensionality. …”
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Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance by Ganesh Selvaraj, Kanimozhi Rajangam, Pradeep Vishnuram, Mohit Bajaj, Ievgen Zaitsev

“…Results indicate that the crow search algorithm significantly optimizes load scheduling, leading to a substantial reduction in power loss and enhancement in voltage profiles across all scenarios. …”
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A Distribution Network Expansion Project Classification Model Based on Data Augmentation and Dimensionality Reduction Method by Xin ZHOU, Jingxing LIN, Zhiwei XIE, Zheng ZHANG, Ruduo LIANG, Zuhong OU

“…Based on the data of a distribution network expansion project of a power supply bureau, the simulation results show that the classification accuracy of the algorithm used in this paper is better than other algorithms. …”
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Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm. by Naima Agouzoul, Aziz Oukennou, Faissal Elmariami, Mohamed Ebeed, Jamal Boukherouaa, Rabiaa Gadal, Mokhtar Aly, Emad A Mohamed

“…In this regard, a modified Dandelion Optimizer (MDO) algorithm is introduced to optimize the SORPD solution with taking into consideration the stochastic fluctuations or the random variations of the load demand and the power produced by RERs. …”
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A Study of Multi-distributed Resource Equalization Allocation for Virtual Power Plants Based on Genetic-heuristic Algorithm by Haifeng Li, Tao Jin, Xian Xu, Lin Shi

“…Abstract A multi-resource balanced allocation method using a genetic-heuristic fusion algorithm is proposed to address the imbalance in distributed power generation resource allocation and the over-generation problem in virtual power plants. …”
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Performance of Various Voltage Stability Indices in a Stochastic Multiobjective Optimal Power Flow Using Mayfly Algorithm by Rebeccah Kyomugisha, Christopher Maina Muriithi, George Nyauma Nyakoe

“…The performance of voltage stability indices in the multiobjective optimal power flow of modern power systems is presented in this work. …”
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A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions by Boyan Huang, Kai Song, Shulin Jiang, Zhenqing Zhao, Zhiqiang Zhang, Cong Li, Jiawen Sun

“…Both the simulations and the experimental results indicate that the proposed algorithm outperforms particle swarm optimization (PSO) and grey wolf optimization (GWO) in terms of convergence velocity, tracking precision, and the reduction in iteration power oscillation magnitude.…”
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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition by Faheed A.F. Alrslani, Manal Abdullah Alohali, Mohammed Aljebreen, Hamed Alqahtani, Asma Alshuhail, Menwa Alshammeri, Wafa Sulaiman Almukadi

“…The ARDL-FDIAR technique uses Z-score normalization to scale the input data. The attribute reduction process gets invoked using the modified Lemrus optimization algorithm (MLOA) to choose optimal feature sets. …”
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OFDM-NOMA Error Rate Reduction Using Direct Data Detection by Tasneem Assaf, Arafat Al-Dweik, Anshul Pandey, Jean-Pierre Giacalone

“…The computational complexity of <inline-formula> <tex-math notation="LaTeX">$D^{3}$ </tex-math></inline-formula> depends on the sequence length, and a significant complexity reduction is achievable using the Viterbi algorithm.…”
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Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model by Ziquan Zhao, Jing Bai

“…To address the challenges of the strong randomness and intermittency of wind power generation that affect wind power grid integration, power system scheduling, and the safe and stable operation of the system, an improved Dung Beetle Optimization Algorithm (MSADBO) is proposed to optimize the hyperparameters of the Long Short-Term Memory neural network (LSTM) for ultra-short-term wind power forecasting. …”
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Multi-objective Optimal Scheduling of Water-Carbon in Cascade Reservoirs during Impoundment for Carbon Emission Reduction by ZHOU Yan-lai, NING Zhi-hao, HE Jun-tao

“…[Methods] Given that current studies on cascade reservoir impoundment scheduling have not yet incorporated carbon reduction objectives, this study proposed a multi-objective water-carbon scheduling model for cascade reservoirs during impoundment period based on the carbon emission factor method.An early storage strategy for cascade reservoirs was developed,and three objectives—minimizing flood control risk,maximizing power generation,and minimizing greenhouse gas emissions—were established.The Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ) was employed to derive optimal scheduling schemes for the impoundment period.…”
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Research on Optimization Method of Coal Blending for Carbon Emission Reduction Based on Bi-level Programming by CHEN Siqin, ZHU Yinan, LI Xiaochen, WANG Xuehai

“…As the “dual carbon” goal has been upgraded to a national strategy, coal-fired power plants are the top priority for carbon reduction in the power generation industry, and coal-fired power plants are facing a huge challenge in limiting carbon emissions. …”
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Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

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Enhanced skill optimization algorithm: Solution to the stochastic reactive power dispatch framework with optimal inclusion of renewable resources using large‐scale network by Noor Habib Khan, Yong Wang, Raheela Jamal, Sheeraz Iqbal, Mohamed Ebeed, Yazeed Yasin Ghadi, Z. M. S. Elbarbary

“…The objective is to determine the placement of four wind and four PV units into large‐scale 118‐bus network to reduce expected power losses. The normal, lognormal, and Weibull distributions are utilized to model system uncertainties, while Monte‐Carlo simulation and reduction‐based approaches are utilized to generate the novel set of optimal scenarios. …”
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Integrating multiple slack bus operations and metaheuristic techniques for power flow optimization by Swaechchha Dahal, Gunne John Hegglid, Jonas Kristiansen, Bhupendra Bimal Chhetri, Sambeet Mishra, Thomas Øyvang

“…This study investigates the application of metaheuristic algorithms within a multiple slack bus context, highlighting their potential to enhance power network efficiency and suggesting broader applications for future power flow optimization strategies.…”
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Vehicle Authentication-Based Resilient Routing Algorithm With Dynamic Task Allocation for VANETs by Nagaraju Pacharla, K. Srinivasa Reddy

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