Techno-Economic Analysis of Hybrid Renewable Energy Sources with Bess and Impact of Electric Vehicle Load with Demand Response Program

Singh, Bharat; Sharma, Ashwani Kumar

doi:10.2139/ssrn.4046786

Cited by 2 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [28], a stochastic energy management scheme of electric bus charging stations with PV and BSS integrated is investigated to cut the charging cost of electric buses. In addition, the charging loads can improve the load shifting ability by cooperating with the BESS, and has the ability to respond to the peak-shaving demand of the power grid [29]. The power grid encourages responding participants through economic incentives.…”

Section: Related Studiesmentioning

confidence: 99%

Operation optimization of battery swapping stations with photovoltaics and battery energy storage stations supplied by transformer spare capacity

Zhang

Yao

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

Driven by the demand for carbon emission reduction and environmental protection, battery swapping stations (BSS) with battery energy storage stations (BESS) and distributed generation (DG) have become one of the key technologies to achieve the goal of emission peaking and carbon neutrality. Therefore, this paper proposes a strategy to optimize the operation of BSS with photovoltaics (PV) and BESS supplied by transformer spare capacity. Firstly, it introduces the operation mechanism of BSS and uses the spare capacity of building special transformers and the roof PV to supply power to BSS to avoid the investment of transformers. Secondly, this paper establishes the load model of BSS and proposes the charging rules of battery swapping. Thirdly, a segmented pricing mechanism for the rental price of special transformers is formulated to guide BSS operators to preferentially rent spare capacity during low load rate periods. Aiming at the maximum daily profit of BSS, an optimization model is established to optimize the number of batteries to be charged and the charging status of BESS in each period; on this basis, the demand response model is further proposed. Simulation results show that the proposed strategy can improve the daily profit of BSS through shifting load. And the configuration of BESS can improve the battery swapping capacity and peak‐shaving ability. Moreover, the exponential segmented pricing mechanism can greatly reduce the number of high load periods and reduce the burden on the power supply.

show abstract

Section: Related Studiesmentioning

confidence: 99%

Operation optimization of battery swapping stations with photovoltaics and battery energy storage stations supplied by transformer spare capacity

Zhang

Yao

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…A future energy shortage has been predicted due to the depletion of fossil resources and an 80% increase in demand between 2020 and 2050. Carbon emissions as well as waste are reduced with the use of renewable energy sources 3‐5 . As a result, there is a rising need for clean, renewable energy that produces no greenhouse gases or pollutants.…”

Section: Introductionmentioning

confidence: 99%

“…Carbon emissions as well as waste are reduced with the use of renewable energy sources. [3][4][5] As a result, there is a rising need for clean, renewable energy that produces no greenhouse gases or pollutants. Researchers and corporations can now employ an imported solar photovoltaic (PV) array for a number of purposes due to continual price cuts in PV panels and power electronics components.…”

Section: Introductionmentioning

confidence: 99%

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

Nambi,

Muthubalaji,

Srinivasan

et al. 2024

Energy Storage

View full text Add to dashboard Cite

An economically appealing alternative to the use of fossil fuels in many nations is the electric vehicle (EV). Commercial EVs have a battery that powers the motor while also being charged by solar photovoltaic (PV). The original contribution of this research work is to implement a smart and advanced methodologies for accomplishing the objectives of MPPT control and battery management in EVs. Here, a novel spotted hyena optimized (SHO)‐MPPT controlling algorithm is applied to get the most out of the electricity generated by PV panels to meet EV energy requirements. A modified high gain super‐lift Luo converter has been implemented to improve and regulate the output voltage of PV for optimal battery charging and motor control. Then, an adaptive dynamic encoded network controller is designed to improve the voltage regulation and boosting performance of the DC‐DC converter. Consequently, a Henry gas solubility optimization is deployed to perform an effective battery management in EVs by optimally estimating the state of charge, which helps to increase the charging efficiency of EVs. Moreover, a three‐phase voltage source inverter has also been used to lower harmonic levels and deliver high‐quality output power to the EV motor. The results of the proposed MPPT controlling, converter controlling, and battery management strategies are verified in this study using a complete simulation and comparison analysis, where the parameters such as IV‐PV characteristics, motor torque, speed, total harmonic distortions (THDs), and so forth are taken into account for performance validation. By using the proposed controlling methodology, the THD is reduced to 1.09% with the improved vehicle speed of 3000 rpm, and overall performance efficiency of 99%.

show abstract

Techno-Economic Analysis of Hybrid Renewable Energy Sources with Bess and Impact of Electric Vehicle Load with Demand Response Program

Cited by 2 publications

References 30 publications

Operation optimization of battery swapping stations with photovoltaics and battery energy storage stations supplied by transformer spare capacity

Operation optimization of battery swapping stations with photovoltaics and battery energy storage stations supplied by transformer spare capacity

A smart and intelligence based controlling algorithms for maximum power extraction and effective battery management in EV systems

Contact Info

Product

Resources

About