Computational efficient approach to compute a prediction-of-use tariff for coordinating charging of plug-in electric vehicles under uncertainty

Coria, Gustavo; Romero-Quete, David; Romero, A. A.

doi:10.1016/j.ijepes.2021.107692

Cited by 4 publications

(4 citation statements)

References 39 publications

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“…The transfer capacity constraint and reactive power constraint of VSC are determined in (33) and (34), respectively. Besides, flexibility supply constraint and network transfer capacity constraint are given by ( 35) and (36), respectively.…”

Section: Constraintsmentioning

confidence: 99%

“…Optimal dispatching strategies of EVs were proposed to maximize the benefit of EV users or EV aggregators (EVAs) in [31] and [32]. Dynamic electricity prices were used in [33] to guide the charging and discharging behavior of EVs during the optimization dispatching. Moreover, optimal dispatching methods coordinating the operations of EVs were provided in [34]- [36] to reduce load shedding and renewable power curtailment in distribution systems.…”

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confidence: 99%

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Optimized Dispatching Method for Flexibility Improvement of AC-MTDC Distribution Systems Considering Aggregated Electric Vehicles

Jiang,

Wang,

Zhao

et al. 2023

Journal of Modern Power Systems and Clean Energy

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With the increasing use of renewable resources and electric vehicles (EVs), the variability and uncertainty in their nature put forward a high requirement for flexibility in AC distribution system incorporating voltage source converter (VSC) based multi-terminal direct current (MTDC) grids. In order to improve the capability of distribution systems to cope with uncertainty, the flexibility enhancement of AC-MTDC distribution systems considering aggregated EVs is studied. Firstly, the charging and discharging model of one EV is proposed considering the users' demand difference and traveling needs. Based on this, a vehicle-to-grid (V2G) control strategy for aggregated EVs to participate in the flexibility promotion of distribution systems is provided. After that, an optimal flexible dispatching method is proposed to improve the flexibility of power systems through cooperation of VSCs, controllable distributed generations (CDGs), aggregated EVs, and energy storage systems (ES-Ss). Finally, a case study of an AC-MTDC distribution system is carried out. Simulation results show that the proposed dispatching method is capable of effectively enhancing the system flexibility, reducing renewable power curtailment, decreasing load abandonment, and cutting down system cost.

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Section: Constraintsmentioning

confidence: 99%

mentioning

confidence: 99%

Optimized Dispatching Method for Flexibility Improvement of AC-MTDC Distribution Systems Considering Aggregated Electric Vehicles

Jiang,

Wang,

Zhao

et al. 2023

Journal of Modern Power Systems and Clean Energy

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“…The modified IEEE 118-bus system has 54 generators and 64 load buses. Among 64 load buses, buses 3,7,14,20,29,35,39,45,50,57,60,68,75,79,84,93,98,106,114, and 118 are considered as receiving (load) ends of transactions and genera-tion units at buses 6,15,27,32,36,42,46,54,56,59, 65, 74, 80, 85, 89, 92, 100, 107, 110, and 116 are considered for supplying power to the transactions and are shown in Table 5. In this case study, the proposed strategy is implemented on the test system by considering 24 transactions.…”

Section: Case Study-3: Modified Ieee 118-bus Systemmentioning

confidence: 99%

“…Moreover, it is difficult to solve the stochastic optimization models with a large number of scenarios. Therefore, scenario reduction techniques are essential to achieve the computation tractability and overcome the optimization issues while keeping the uncertainty information embedded in the original scenario set as much as possible [35,36]. In this work, the Kmeans clustering [37] is used to reduce the number of scenarios to overcome the aforementioned issues.…”

Section: Uncertainty Modelling Of Load Demandmentioning

confidence: 99%

An optimal transport theory based approach for efficient dispatch of transactions in energy markets

Gumpu,

Sahoo,

Pamulaparthy

2023

Energy Conversion and Econom

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Nowadays, transactive energy markets (TEMs) are emerging as interesting frameworks in deregulated power markets to control the balance of supply and demand in the entire electrical network. Due to wide deployment of renewable energy resources, grid connected micro-grids, and open access transmission and distribution networks, the planning and operation of TEMs become complex. So, an efficient optimal dispatch model for TEMs should be developed to achieve the objectives of TEMs, such as feasible sizes of transactions and optimal dispatch of these transactions with minimal operating costs. The transactive dispatch problem is similar to the resource allocation/matching problem. Recently, optimal transport (OT) has received significant attention in various fields including optimization theory and resource matching problems due to its potency and relevance in modeling and optimization. An OT-based approach is proposed here for optimal dispatch of transactions in energy markets while minimizing the cost of transactions considering the operating constraints of the system. The proposed approach can efficiently determine the feasible sizes of transactions without any security issues. The optimal solutions of the OT-based approach are obtained using a Sinkhorn iterative technique. Also, the load uncertainties are considered in this work to analyse the impacts of load uncertainties on the optimal dispatch of transactions. The numerical simulation results on the modified IEEE 9-bus system, modified IEEE 57-bus system, modified IEEE 118-bus system, and Indian Northern Regional Power Grid (NRPG) system illustrate the efficacy of the proposed OT-based framework.

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A coordinated stochastic dispatch model for hybrid energy markets with renewable energy uncertainties using moth flame optimization

2022

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Computational efficient approach to compute a prediction-of-use tariff for coordinating charging of plug-in electric vehicles under uncertainty

Cited by 4 publications

References 39 publications

Optimized Dispatching Method for Flexibility Improvement of AC-MTDC Distribution Systems Considering Aggregated Electric Vehicles

Optimized Dispatching Method for Flexibility Improvement of AC-MTDC Distribution Systems Considering Aggregated Electric Vehicles

An optimal transport theory based approach for efficient dispatch of transactions in energy markets

A coordinated stochastic dispatch model for hybrid energy markets with renewable energy uncertainties using moth flame optimization

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