Cooperative optimization of speed planning and energy management for hybrid electric vehicles based on Nash equilibrium

Zeng, Xiaohua; Gao, Haoming; Chen, Zhitao; Yang, Dongpo; Song, Dafeng

doi:10.1016/j.jpowsour.2023.233070

Cited by 11 publications

(2 citation statements)

References 32 publications

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“…The transition from conventional distribution systems to active distribution networks (ADNs), microgrids (MGs), and smart grids (SGs) is steadily growing [1, 2]. This is mainly because of recent developments in cost‐effective solutions for renewable energy resources (RERs) and electric vehicles (EVs) [3, 4]. Through the SG's framework, the initiatives regarding RERs, non‐renewable distributed generation units, and EVs would be more achievable.…”

Section: Introductionmentioning

confidence: 99%

Optimized allocation of microgrids’ distributed generations and electric vehicle charging stations considering system uncertainties by clustering algorithms

Yaghoubi‐Nia,

Hashemi‐Dezaki,

Niasar

2024

IET Renewable Power Gen

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The reliability‐oriented optimized sizing and placement of electric vehicle (EV) charging stations (EVCSs) has received less attention. In addition, the literature review shows that a research gap exists regarding a clustering‐based method to optimize the allocation of DGs and EVCSs, considering the system uncertainties. This article tries to fill such a knowledge gap by proposing a new clustering‐based method to optimize the allocation of DGs and EVs simultaneously, considering the uncertainties of EV behaviours and stochastic behaviours of renewable DGs. Developing a new stochastic model for EVs using the clustering algorithm is one of the essential contributions. The uncertain parameters, e.g. EV charging loads based on EV owners’ behaviours (arrival time, departure time, and driving distance) and renewable DGs, would be clustered. The proposed method could solve the execution time challenges of Monte Carlo simulation‐based approaches to concern the stochastic behaviours of smart grids. The simultaneously reliability‐oriented optimal allocation of EVCSs, DGs, and protection equipment, using the proposed clustering‐based algorithm is another main contribution. The IEEE 33‐bus test system is studied to examine the introduced method. Simulation results imply that a 1.45% accuracy improvement could be obtained compared to available analytical ones, while its execution time is appropriate.

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Section: Introductionmentioning

confidence: 99%

Optimized allocation of microgrids’ distributed generations and electric vehicle charging stations considering system uncertainties by clustering algorithms

Yaghoubi‐Nia,

Hashemi‐Dezaki,

Niasar

2024

IET Renewable Power Gen

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show abstract

“…La teoría de juegos y sus conceptos, como los juegos de suma cero y las estrategias dominantes y dominadas, pueden ser una herramienta valiosa para las empresas al momento de tomar decisiones estratégicas y para entender las dinámicas de la competencia y la colaboración en su sector. El equilibrio de Nash es uno de los conceptos más importantes dentro de la teoría de juegos y es ampliamente utilizado para analizar la interacción entre competidores en un mercado (Hou et al, 2020;Zeng et al, 2023). Según Nash and John (1950) un equilibrio de Nash es una combinación de estrategias en la que ningún jugador puede mejorar su posición eligiendo una estrategia diferente.…”

Section: Introductionunclassified

Design and implementation of a game-based activity to promote learning of game theory

Ardila Otero,

Pérez Rueda,

Ballesteros Peña

et al. 2023

Reg Cient

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Game theory, an interdisciplinary field that explores interactions among entities in strategic scenarios, is paramount for understanding how individuals make decisions in interactive situations. This paper outlines the development and evaluation of a playful exercise to facilitate understanding fundamental concepts such as dominant and dominated strategies and Nash equilibrium, employing a 'design thinking' methodology. An empirical evaluation was conducted with 76 Industrial Engineering students from the Universidad Industrial de Santander, dividing them into four teams representing companies vying for customers. The teams assessed payoff matrices and made marketing decisions, utilizing a colored die to eliminate non-advantageous strategies. Findings indicate a significant increase in interest in game theory, with 86% of participants expressing a preference for this method compared to conventional classes. Furthermore, 81% desired to incorporate this activity into their regular courses, while 76% applied previous knowledge during the training. An average improvement of 17% in correct responses suggests that the playful exercise effectively facilitates the assimilation of key concepts in game theory among university students. This study underscores the potential of integrating active activities based on game theory to enrich the learning process in an academic context.

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ARVIN converter: a bidirectional DC/DC converter for grid-connected G2V/V2G energy storage and electrification approaches

Ertekin

2024

Electr Eng

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Cooperative optimization of speed planning and energy management for hybrid electric vehicles based on Nash equilibrium

Cited by 11 publications

References 32 publications

Optimized allocation of microgrids’ distributed generations and electric vehicle charging stations considering system uncertainties by clustering algorithms

Optimized allocation of microgrids’ distributed generations and electric vehicle charging stations considering system uncertainties by clustering algorithms

Design and implementation of a game-based activity to promote learning of game theory

ARVIN converter: a bidirectional DC/DC converter for grid-connected G2V/V2G energy storage and electrification approaches

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