A novel approach for UI charge reduction using AMI based load prioritization in smart grid

Pujara, Avani; Vilas, Velhal Geeta; Bakre, Shashikant; Muralidhara, V. N.

doi:10.1016/j.jesit.2017.01.001

Cited by 6 publications

(3 citation statements)

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“…Sometimes, excessive overdraw of power can put the upstream transmission networks at risk. Generally, a warning is issued by load dispatch centers to a system operator that overdraws during a period when supply frequency dips below its nominal range and vice versa [26], [27]. Moreover, UI charges are also applied on energy purchase if any constraint has been violated.…”

Section: ) Minimization Of Node Voltage Deviationmentioning

confidence: 99%

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Modified African Buffalo Optimization for Strategic Integration of Battery Energy Storage in Distribution Networks

Singh¹,

Meena

Słowik

et al. 2020

IEEE Access

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This article presents a two-layer optimization scheme for simultaneous optimal allocation of wind turbines (WTs) and battery energy storage systems (BESSs) in power distribution networks. The prime objective of this formulation is to maximize the renewable hosting capacity of the system. For outerlayer, a new objective function is developed by combining multiple objectives such as annual energy loss in feeders, back-feed power, BESSs conversion losses, node voltage deviation, and demand fluctuations caused by renewables subject to various system security and reliability constraints. Furthermore, a modified variant of African buffalo optimization (ABO) introduced to overcome some of the limitations observed in its standard variant. The proposed modifications are first validated and then introduced for simultaneous optimal integration of multiple distributed energy resources in distribution systems. The proposed modified ABO is employed to determine the optimization variables of outer-layer. Whereas, a heuristic is proposed to solve the inner-layer optimization problem aiming to determine the optimal dispatch of BESSs suggested by outer-layer optimization. By considering the high investment and operating cost of BESSs, minimum energy storage capacity has been ensured during the planning stage. To present the efficacy of developed model, it is implemented on a 33-bus, benchmark test distribution system for various test cases. The comparative simulation results show that the proposed optimization model and modified ABO is very promising to improve the performance of active distribution systems.

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Section: ) Minimization Of Node Voltage Deviationmentioning

confidence: 99%

“…The modification will also support the help seekers buffaloes of the herd. b) Update the location of jth buffalo by using (27), as follows (29) c) If r 1 < 0.5 then randomly update the location of buffalo j within the search space, as suggested in (30).…”

Section: Calculate Fitness Value For All Buffaloesmentioning

confidence: 99%

Modified African Buffalo Optimization for Strategic Integration of Battery Energy Storage in Distribution Networks

Singh¹,

Meena

Słowik

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Moreover, in the Indian system, the distribution utility electricity cost has real‐time DSC cost component also; which has been ignored in this study. Pujara et al in [23] have presented a DSC reduction approach considering the case of realistic Indian distribution utility using load interruption strategy to limit the deviations. The loads are categorised as residential, industrial and essential loads in increasing order of priority.…”

Section: Introductionmentioning

confidence: 99%