Optimal Number of Electric Vehicles for Existing Networks Considering Economic and Emission Dispatch

Ahmad, Samar; Sivasubramani, S.

doi:10.1109/tii.2018.2861409

Cited by 31 publications

(20 citation statements)

References 17 publications

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“…Ahmad and Sivasubramani [21] have addressed the grid-planning problem by using V2G operation to optimize the economic and emission dispatch in a radial distribution system. Even though the integration of renewable energy resources has not been considered by the authors, their results demonstrate that the PEVs participation in the V2G market can enlarge about four-fold the fleet handling size of the existing power structure in comparison with the uncontrolled scenario.…”

Section: Literature Review On V2g Optimization Approachesmentioning

confidence: 99%

“…Thus, its application can be critical to maximize value for both system operator and end-user at minimum Eco-costs (environmental burden). To the best of our knowledge, although some attempts have been made to optimize both economic and emission dispatch [21,31], the application of the Eco-cost indicator has not been addressed in the pertaining literature so far. Additional major contributions and innovative features introduced by this study include:…”

Section: Contributions Of This New Approachmentioning

confidence: 99%

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Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

2020

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Vehicle-to-grid (V2G) technology heralds great promise as a demand-side resource to contribute to more efficient grid management and promote the use of decentralized renewable energy. In this light, we propose a new optimization model for the sustainable energy and reserve market management in renewable-driven microgrid (RMG) plug-in electric vehicles (PEVs) parking lot systems. The RMG is composed of a hybrid photovoltaic/wind/hydrogen energy and storage system, along with local dispatchable generation units and bidirectional grid connection. The RMG is coupled to a smart PEVs parking lot, which is equipped with grid-to-vehicle (G2V) and V2G technologies allowing for not only PEVs aggregation and control but also optimal allocation of energy resources. Time-of-use (TOU) prices are considered in a demand response program (DRP) to enhance both economic and environmental performances by encouraging end-users to shift their energy demands from peak to off-peak time periods. Additionally, the model accounts for an economic incentive to PEVs owners to compensate for battery degradation. The integrated system eco-efficiency is evaluated through the application of the novel life cycle assessment-based Eco-cost indicator. The resulting mixed-integer linear programming model to minimize sustainability costs is implemented in GAMS and solved to global optimality. Different case studies are performed to demonstrate the effectiveness of the proposed modelling approach. Energy analyses results reveal that the optimal G2V-V2G operation, allied to TOU prices in a DRP, and reserve market management can reduce around 42% the energy and environmental costs of the RMG-PEVs parking lot system.

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Section: Literature Review On V2g Optimization Approachesmentioning

confidence: 99%

Section: Contributions Of This New Approachmentioning

confidence: 99%

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

2020

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“…The proposed model is displayed as an advancement issue and tried on a framework that is shaped by consolidating IEEE 33-transport outspread circulation framework and a ten-unit age framework. The outcome uncovers that the time range necessities for power foundation upgradation can be expanded by twofold if the V2G showcase is applied in the system [11]. In this paper,a novel heuristic advancement calculation called differential evolution(DE)technique has been proposed to understand the ideal area of Realities gadgets in deregulated power showcase utilizing possibility examination.…”

Section: Raginee Sharma Achala Jain Anupama Huddarmentioning

confidence: 99%

“…Table 4 show the outlined consequences of the ten generator framework for different burden request of 1176, 1050, 1200, 1700 and 2100 MW at different long periods of 4, 6, 11, 18 and 20 hours that are gotten by the proposed strategy without thought of wind power. Table 4 show the abridged after effects of the ten generator framework for different burden request of 1176, 1050, 1200, 1700 and 2100 MW at different long stretches of 4,6,11,18 and 20 hours that are acquired by the proposed technique with wind power. It is obvious from Table 4 and Table 5; proposed strategy gives better outcome as far as least fuel cost, CPU time in second and force misfortune contrasted and IMFO-RNN procedure while fulfilling the generator's yield limitations.…”

Section: Test Casementioning

confidence: 99%

“…As indicated by, the breeze speed varieties are recreated by the dissemination work which can be utilized by power framework administrators for deciding age plans [10]. As the breeze conduct is the most unsure one, its capacity figure vulnerability is displayed through situations for compelling detailing of the unit responsibility streamlining issue [11]. It is a direct result of; during the solid breeze blows, the base units are worked beneath a base restrain or close brought down which parts with overabundance vitality and despite what might be expected circumstance, utility is expected to depend on other costly quick beginning assets to make up for the age necessity during unforeseen burden spikes which expands the framework activity, upkeep and age costs [12].…”

Section: Introductionmentioning

confidence: 99%

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MSSA-PSO: A Hybrid Technique

Sharma*,

Jain,

Huddar

2020

IJITEE

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This paper center a multi objective based half and half procedure to fathom EED (Economic Emission Dispatch) issue incorporates wind power with hydro-warm units. The half breed procedure is the joined execution of both the modified salp swarm streamlining algorithm (MSSA) with counterfeit astute AI (artificial intelligence) strategy helped with particle swarm optimization (PSO) system. In this, the MSSA is used to advancing the blend of the warm generators dependent on the breeze power vulnerability and siphoned stockpiling units. PSO-ANN is used to catch the vulnerability occasions of wind power so the framework is guaranteed the high use of wind power. Along these lines, arrangement of the proposed enhancement approach will be limited the all out expense. To approve the proposed technique viability, the six and ten producing units warm framework is contemplated with fuel and discharge cost as two clashing targets to be upgraded simultaneously. The proposed strategy is executed in MATLAB working stage and the outcomes will be analyzed with thinking about age units and will contrasted with IMFO-RNN systems. The correlation comes about uncovers the nature of the proposed approach and broadcasts its capacity for dealing with multi-target improvement issues of intensity frameworks.

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Energy management strategies in distribution system integrating electric vehicle and battery energy storage system: A review

Vanlalchhuanawmi,

Deb,

Onen

et al. 2024

Energy Storage

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The electricity sector is witnessing a rise in renewable energy sources and the widespread adoption of electric vehicles, posing new challenges for distribution system. Additionally, the surge in carbon emissions resulting from industrialization and population growth continues to worsen global warming and climate change. In response, integrating electric vehicles (EVs) and battery energy storage systems (BESS) has emerged as a critical strategy, presenting both challenges and opportunities in effective energy management. BESSs offer potential solutions to mitigate these impacts. Furthermore, this review thoroughly explores issues related to lithium‐ion batteries, particularly in the context of EVs and energy management systems (EMS), identifies challenges, and provides recommendations for future research directions. The article concludes by outlining the current extent of investigation in the field of BESS and EV systems to provide researchers with a clear understanding. The escalation of carbon emissions stemming from industrialization and population expansion has worsened the effects of global warming and climate change. To address this challenge, the integration of Electric EVs and energy storage systems (ESS) has emerged as a pivotal strategy. This study examines optimization techniques, methodologies, and the evolving market landscape in distributed systems, with a focus on EVs and BESS. It also explores issues related to lithium‐ion batteries, particularly in the context of EVs and energy management systems. The article highlights the challenges and opportunities in the field of BESS and EV systems, emphasizing the need for ongoing research. BESSs offer potential solutions to mitigate these impacts. Moreover, it offers an extensive analysis of the existing BESS installations, outlining main areas of interest, pointing out difficulties, clarifying areas of unfinished study, and providing future directions.

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Optimal Number of Electric Vehicles for Existing Networks Considering Economic and Emission Dispatch

Cited by 31 publications

References 17 publications

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

MSSA-PSO: A Hybrid Technique

Energy management strategies in distribution system integrating electric vehicle and battery energy storage system: A review

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