Coordinated Scheduling for Improving Uncertain Wind Power Adsorption in Electric Vehicles—Wind Integrated Power Systems by Multiobjective Optimization Approach

Li, Yuanzheng; Ni, Zhixian; Zhao, Tianyang; Yu, Minghui; Liu, Yun; Wu, Lei; Zhao, Yong

doi:10.1109/tia.2020.2976909

Cited by 51 publications

(19 citation statements)

References 40 publications

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“…Therefore, the EVCSs are not operating constantly, and their planning will be uncertain. In summary, uncertainties in the modeling of EVs and EVCS include the following [5,9,33]:…”

Section: A Ev and Evcs Modelsmentioning

confidence: 99%

Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

et al. 2020

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Modeling and allocation of the Electric vehicles Charging Stations (EVCS) within the distribution network, as per the growing use of Electric vehicles (EVs) is a challenging task. In this paper, to manage the EVCS, first, with the aim of peak shaving, valley filling, and flattening the load curve of the network, the optimal planning of EV's charging/discharging is devised. In this regard, after modeling involving random variables, a novel hybrid method, based on the Multi Objective Particle Swarm Optimization (MOPSO) optimization algorithm and sequential Monte Carlo simulation is presented. The purpose of the presented optimal charge/discharge schedule is to control the rate and time of charging/ discharging of EVs. In the proposed model, various battery operation strategies, including Uncontrolled Charging Mode (UCM), Controlled Charging Mode (CCM), and Smart Charge/Discharge Mode (SCDM) are also considered. In the next step, in order to implement the charge/discharge schedule of the EVCS profitably, a new formulation is presented for the allocation of two EVCSs (administrative and residential EVCS). In the proposed formulation, various objective functions such as power loss reduction, reducing power purchases from the upstream network, reducing voltage deviation in buses, improving reliability is addressed. Moreover, to incentivize the owner to construct the EVCS with adopted charging/discharging schedule, the optimal profits sharing between Distribution System Operator (DSO) and EVCS owner is also performed. The proposed formulation is applied to a standard network (IEEE 69 buses) and encouraging results are achieved.

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“…Therefore, the EVCSs are not operating constantly, and their planning will be uncertain. In summary, uncertainties in the modeling of EVs and EVCS include the following [5,9,33]:…”

Section: A Ev and Evcs Modelsmentioning

confidence: 99%

Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

et al. 2020

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“…The optimization is achieved through particle swarm optimization (PSO), which is a metaheuristic method. However, there are cases where the integration of EVs (considering V2G mode) in a grid is studied along with wind farms (WFs), instead of PV panels, as presented the work of [36][37][38][39]. More specifically, in the case of [36] the objective is to simultaneously optimize the wind power curtailment, the generation cost, and the emissions from the daily operation of the grid.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are cases where the integration of EVs (considering V2G mode) in a grid is studied along with wind farms (WFs), instead of PV panels, as presented the work of [36][37][38][39]. More specifically, in the case of [36] the objective is to simultaneously optimize the wind power curtailment, the generation cost, and the emissions from the daily operation of the grid. Additionally, in [37] the goal of the proposed methodology is to achieve high wind integration and low charging cost for the EV users.…”

Section: Introductionmentioning

confidence: 99%

“…The problem includes an extensive number of smart grid assets: a main (fuel-based) grid, a PV system with two-axis tracking, a WF, a BESS, industrial, commercial and residential loads and a large number (300) of EVs with V2G capability, as presented in Figure 1. Since the proposed methodology takes into consideration all of these environmental-friendly assets (instead of a subset of them), it expands the scope of the [34][35][36][37][38][39][40][41][42][43][44], thus contributing to the research field of environmental-friendly technologies and smart grid energy dispatch. Furthermore, due to environmental concerns (and the presence of RES and storage units), the objective is to minimize the environmental footprint of the smart grid, but attention is also given to cost factors where possible as the paper takes into account the reduced electricity price offered to consumers during certain hours of the day in Greece (reduced grid price schedule, [45]).…”

Section: Introductionmentioning

confidence: 99%

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Day Ahead Optimal Dispatch Schedule in a Smart Grid Containing Distributed Energy Resources and Electric Vehicles

Fotopoulou

Rakopoulos

Blanas

2021

Sensors

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This paper presents a day ahead optimal dispatch method for smart grids including two-axis tracking photovoltaic (PV) panels, wind turbines (WT), a battery energy storage system (BESS) and electric vehicles (EV), which serve as additional storage systems in vehicle to grid (V2G) mode. The aim of the day ahead schedule is the minimization of fuel-based energy, imported from the main grid. The feasibility of the proposed method lies on the extensive communication network of the smart grids, including sensors and metering devices, that provide valuable information regarding the production of the distributed energy resources (DER), the energy consumption and the behavior of EV users. The day ahead optimal dispatch method is applied on a smart grid in order to showcase its effectiveness in terms of sustainability, full exploitation of DER production and ability of EVs to act as prosumers.

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“…The ancillary services of wind power plant in providing reactive power injection to the system might enhance the system voltage profiles which consequently improves loadability of the system [7,8]. Even though the additional power injection from wind power plant can help to fulfil the load demand and enhanced the voltage profiles, uncertain power injections from wind power plant and features of wind power generation technologies potentially introduce novel stability concerns in power system operation and control [9,10]. One of the main concerns of integrating wind power plant is maintaining voltage stability of the power system [11].…”

Section: Introductionmentioning

confidence: 99%

Impact of Large-Scale Wind Power Penetration on Dynamic Voltage Stability of Interconnected Power System: An Indonesia Case Study

Krismanto¹,

Sulistiawati²,

Limpraptono³

et al. 2021

IJIES

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The increasing penetration of wind power plant introduces a various effect on power system stability, operation and control. Unpredictable, uncertain and fluctuating circumstances can significantly affect the performance of power system. Moreover, employment of novel technologies in wind power plant significantly alter the control characteristic and operation procedure of power system to deal with load variations and fast changing of generated power from wind-based power plant. One of the main focus in integrating large scale wind power plant is how to maintain voltage stability under transient and steady state scenarios. In this paper, effects of large-scale wind power plants on voltage stability of power system is investigated. Practical test system of South-West Sulawesi, Indonesia with integration of two large scale wind power plants are considered. Hence the novelty of this paper is to introduce new and practical test system for power system stability study considering renewable energy integration. The simulation results suggest that the additional power injection from wind power plant introduces beneficial effects on power system voltage stability performance. It was monitored that the increasing power injection from wind power plant enhanced the voltage profile (0.96 pu to 0.975 pu), voltage margin and load-ability (200 MW to 215 MW) of the system. Furthermore, it was also observed that additional power injection from wind power plant significantly improved the dynamic voltage stability performance of the power system, ensuring stable operation under transition stages when the power system was subjected to disturbances.

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Coordinated Scheduling for Improving Uncertain Wind Power Adsorption in Electric Vehicles—Wind Integrated Power Systems by Multiobjective Optimization Approach

Cited by 51 publications

References 40 publications

Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

Day Ahead Optimal Dispatch Schedule in a Smart Grid Containing Distributed Energy Resources and Electric Vehicles

Impact of Large-Scale Wind Power Penetration on Dynamic Voltage Stability of Interconnected Power System: An Indonesia Case Study

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