Optimization of load factor in distribution networks with high share of plug-in electric vehicles and photovoltaic generation

García-Villalobos, J.; Zamora, I.; Eguia, P.; Etxegarai, A.; Martín, Jesús Izquierdo

doi:10.1109/upec.2017.8231917

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…Furthermore, some works addressed the increase in LF through energy efficiency, integration of distributed generation, or recharging/discharging EVs in the power grid. The authors in [38] implemented a methodology to improve the LF aiming at reducing the active losses, as well as integrating the medium voltage PV plants and plug-in EVs. In [39], the LF improvement through scheduling the charging of EVs was addressed while minimizing the total costs.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Energy Management in a Prosumer Community Considering the Load Factor Enhancement

et al. 2021

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In prosumers’ communities, the use of storage batteries (SBs) as support for photovoltaic (PV) sources combined with coordination in household appliances usage guarantees several gains. Although these technologies increase the reliability of the electricity supply, the large-scale use of home appliances in periods of lower solar radiation and low electricity tariff can impair the performance of the electrical system. The appearance of new consumption peaks can lead to disturbances. Moreover, the repetition of these events in the short term can cause rapid fatigue of the assets. To address these concerns, this research proposes a mixed-integer linear programming (MILP) model aiming at the optimal operation of the SBs and the appliance usage of each prosumer, as well as a PV plant within a community to achieve the maximum load factor (LF) increase. Constraints related to the household appliances, including the electric vehicle (EV), shared PV plant, and the SBs, are considered. Uncertainties in consumption habits are simulated using a Monte Carlo algorithm. The proposed model was solved using the CPLEX solver. The effectiveness of our proposed model is evaluated with/without the LF improvement. Results corroborate the efficient performance of the proposed tool. Financial benefits are obtained for both prosumers and the energy company.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent Energy Management in a Prosumer Community Considering the Load Factor Enhancement

et al. 2021

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“…The LF evaluation at this given node was performed by the LC, considering the voltage levels. The LF improvement related to an industrial plant and also the EG of the University of North East India was addressed in [5] and [14], respectively. In this regard, in [5], a technique based on direct control was used, whereas, in [14], an increase of LF value was obtained via the efficient management of active power losses in feeders.…”

Section: B Related Workmentioning

confidence: 99%

“…The LF improvement related to an industrial plant and also the EG of the University of North East India was addressed in [5] and [14], respectively. In this regard, in [5], a technique based on direct control was used, whereas, in [14], an increase of LF value was obtained via the efficient management of active power losses in feeders. In [15], the improvement of the LF of an EG was achieved by reducing the number of EV batteries to be charged during peak hours.…”

Section: B Related Workmentioning

confidence: 99%

“…Calculations associated with conn i,k,t and dconn i,k,t are made through constraints ( 5) and ( 6), respectively. The energy consumption, conn i,k,t , in a given period t due to the connection of equipment of type k coming from period u is determined in constraint (5). In (6), the energy consumption taken out from period t and shifted to period v, dconn i,k,t is obtained.…”

Section: B Constraintsmentioning

confidence: 99%

“…The LF is defined as the ratio between average demand and maximum demand for a given period (e.g., day, week, etc.) [5]. The LF value represents the level of reshaping the consumption profile obtained through the reduction of peak demand or by an increase in energy usage at periods corresponding to the valleys in consumption profile [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model

Cerna

Pourakbari‐Kasmaei

Naderi

et al. 2021

IEEE Open J. Power Energy

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In recent years, demand-side management (DSM) strategies have become an indispensable tool in the operation and planning of modern electricity grids (EGs). One effective way of ensuring the economical and reliable operation of an EG is through assessing its load factor (LF), while considering different types of electrical equipment (e.g., residential, commercial, and industrial). Toward this end, this paper proposes a mixed-integer quadratically constrained programming (MIQCP) model to deal with the LF assessment problems in a modified power distribution system through optimal scheduling of electrical equipment. This MIQCP model aims to minimize the total costs of purchasing energy by the electric utility via an iterative process, in which the difference between the energy consumption in each period and the average consumption is reduced. In the proposed model, the uncertainties in the consumption habits of different consumers, information related to each electrical equipment, energy prices, and the grid's technical constraints are considered. A modified 34-node EG, differentiated by consumer type, is implemented to evaluate the proposed model. Results show that the LF value is related to the optimal scheme of the electrical equipment that meets the operational and economic requirements of the power grid.

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Probabilistic Analysis based on Steady-state Voltage Level Compliance Indicators for LV Distribution Networks with High PV and EV Penetration

Silva

Vieira

Alves

et al. 2020

2020 IEEE PES Transmission &Amp; Distribution Conference and Exhibition - Latin America (T&D LA)

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Optimization of load factor in distribution networks with high share of plug-in electric vehicles and photovoltaic generation

Cited by 3 publications

References 11 publications

Intelligent Energy Management in a Prosumer Community Considering the Load Factor Enhancement

Intelligent Energy Management in a Prosumer Community Considering the Load Factor Enhancement

Load Factor Assessment of the Electric Grid by the Optimal Scheduling of Electrical Equipment- A MIQCP Model

Probabilistic Analysis based on Steady-state Voltage Level Compliance Indicators for LV Distribution Networks with High PV and EV Penetration

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