Electric Vehicles Charging Dispatch and Optimal Bidding for Frequency Regulation Based on Intuitionistic Fuzzy Decision Making

Li, Xiangyu; Li, Chaojie; Luo, Fengji; Chen, Guo; Dong, Zhaoyang; Huang, Tingwen

doi:10.1109/tfuzz.2022.3220964

Cited by 9 publications

(3 citation statements)

References 35 publications

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“…The article title, abstract, and keyword search using the Scopus database only managed to return two peer-reviewed documents, corresponding to 8% of the total documents gathered for this analysis, as shown in Figure 2. These were the work performed by Cui and Xiao in [47] to obtain a non-cooperative-gamebased P2P energy sharing management for a community consisting of self-interested buildings and the work developed by Li et al in [48] to introduce a two-stage non-cooperative electric vehicle management scheme with the goal of promoting sustainable transport and overcoming the challenges of increased charging demand. This lack of consideration for sustainability goals seems to reinforce the reluctance to adopt non-cooperative game approaches, which may stimulate competition in a scenario where the success of one player occurs at the expense of others.…”

Section: Bibliometric Analysismentioning

confidence: 99%

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Bandeiras,

Gomes,

Gomes

et al. 2023

Energies

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The role of prosumers is changing as they become active and empowered members of the grid by exchanging energy. This introduces bidirectional power flow and other challenges into the existing power systems, which require new approaches capable of dealing with the increased decentralization and complexity. Such approaches rely on game-theoretic models and mechanisms to analyze strategic decisions in competitive settings. More specifically, a coalitional game can encourage participants to trade energy with one another and obtain fair and sustainable outcomes. Therefore, the contents of this work address the coalitional game for sustainable energy trading, as well as the challenges associated with its application in power systems. This is achieved by identifying literature works that successfully implemented coalitional games in energy trading and management applications while providing an overview of solution concepts and discussing their properties and contributions to sustainability. Moreover, this work also proposes conditions that peer-to-peer energy trading should satisfy to be considered sustainable. Finally, a case study is presented to demonstrate how a coalitional game and various solution concepts can be successfully implemented to ensure the benefits and stability of cooperation in power systems. The weighted Shapley value is proposed to allocate profits among communities according to their level of sustainability.

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Section: Bibliometric Analysismentioning

confidence: 99%

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Bandeiras,

Gomes,

Gomes

et al. 2023

Energies

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“…In recent years, researchers have proposed multiple hybrid models that combine aspects of the fuzzy set theory proposed in the 1960s by Zadeh with traditional mathematical models and also the intuitive fuzzy set theory by example for treating drug addict patients [7]; risk evaluation on agricultural products [8]; electric vehicle charging dispatch [9]; and mapping (fuzzy ranking) the linguistic judgments [10,11] of the MCDM problems. Unlike our method, which uses various linguistic terms based on the theory of fuzzy sets.…”

Section: Of 21mentioning

confidence: 99%

Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making

Ramírez,

Melin,

Castillo

2023

Axioms

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In all organizations, many decision analysts acquire their skills through the experience of facing challenges to structure complex problems. Therefore, every day, the use of tools to integrate indicators through multi-attribute ordering, component-based separation, and clustering to reduce the criteria required for decision-making and the achievement of goals and objectives is more frequent. Thus, our proposal consists of a new hybrid-hierarchical model for the classification and prediction of country indicators such as inflation, unemployment, population growth, and labor force, among others, in a decision-making environment using unsupervised neural networks and type-3 fuzzy systems. The contribution is achieving a type-3 fuzzy aggregation method in which the hierarchy is first represented by neural networks and later a set of type-1, type-2, and type-3 systems to combine the results, which allows multiple indicators to be separated and then integrated in an appropriate fashion. We can point out as one of the advantages of utilizing the method that the user can evaluate a range of qualities in multiple variables through the classification and prediction of time series attributes and assess a range of qualities for decision-making with uncertainty, according to the results of the simulations carried out.

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“…The online evolution mechanism of the EV-grid system was proposed in Dong et al (2021) for penetration of intermittent renewable energy and the time variance problem of the system model. Li et al (2023) proposed a two-stage EV management scheme to promote sustainable transportation. In the first stage, a toll scheduling model based on fuzzy multi-criteria decision-making was proposed, and in the second stage, a non-cooperative game model that incentivizes electric vehicles to participate in supplementary frequency regulation was proposed.…”

Section: Introductionmentioning

confidence: 99%

Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems

Wang

Xiang²,

Chen³

et al. 2023

Front. Energy Res.

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Large-scale integration of electric vehicles (EVs) into the city system for charging will affect the operation of both traffic and distribution networks. An electric vehicle navigation and cluster dispatch model is proposed for improving the overall charging efficiency of EVs on the transportation network and increasing the voltage level of the distribution network. First, a simplified model of vehicles and traffic road network is established, and a cell transmission model (CTM) is used to simulate the real traffic network. The traffic system takes into account charging EVs, discharging EVs, and other vehicles, and traffic congestion is considered. Then, a coupled model of the traffic–power system is built for the orderly charging of electric vehicles upon arrival at a charging station. The model considers the coupling of the two systems on a time scale, and the charging/discharging power at each charging station node is controlled. The validity of the model is verified in a coupled system of 357 cell traffic network and modified IEEE33 nodes. The results show that the proposed model can ensure good guarantee of the distribution network voltage reliability and reveal the scheduling process of the traffic network. The proposed model also provides a reference for planning of charging stations in the distribution network.

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Electric Vehicles Charging Dispatch and Optimal Bidding for Frequency Regulation Based on Intuitionistic Fuzzy Decision Making

Cited by 9 publications

References 35 publications

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Application and Challenges of Coalitional Game Theory in Power Systems for Sustainable Energy Trading Communities

Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making

Electric vehicle navigation and cluster dispatch for reliable low-carbon traffic–Power systems

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