Energy Bill Minimisation of Dynamic Tariff Bound Residential Consumers by Intentional Load Shifting

Anand, Hithu; Rajalakshmi, M.; Venkatakrishnan, G. R.; Rengaraj, R.; Jeya, R.

doi:10.1007/978-3-031-28475-5_8

Cited by 9 publications

(2 citation statements)

References 23 publications

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“…Self‐contained PV array‐driven water pumping systems have a fundamental disadvantage in that draining is dependent on changes in solar radiation 4–6 . The researchers concentrated on incorporating a water pump system powered by autonomous PV panels into the grid to solve this challenge 7 . Bidirectional power transfer control is described in the literature for IM‐driven irrigation solar pumps connected to the grid 8 .…”

Section: Introductionmentioning

confidence: 99%

A hybrid approach for PV based grid tied intelligent controlled water pump system

Selvakumaran,

Baskaran

2024

Adaptive Control & Signal

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SummaryThis article proposes a hybrid POA‐RBFNN approach for PV (photovoltaic) based grid tied intelligent controlled water pump system. The proposed method is the hybrid wrapper of Pelican Optimization Algorithm (POA) and Radial Basis Function Neural Network (RBFNN) and later it is termed as POA‐RBFNN method. On the basis of bidirectional power grids, this research presents bidirectional power flow control for PV systems. The water pump is driven through a three‐phase synchronous reluctance motor (RSM). A novel Cuk integrated Landsman converter can operate at low duty cycles to provide larger DC voltages with negligible switching losses is used. In addition, to enhance the pumping system reliability, solar panels and electric pumps can be used to their maximum potential. Despite fluctuating weather conditions, the system supplies nominal displacement all over the day and surplus energy to the grid. Furthermore, if one of the sources fails, the pump performance is unaffected. Switching losses are minimized since the Voltage Source Inverter (VSI) operates at a fundamental frequency. In all operational modes, this control delivers unique grid‐side power quality and unity power factor functioning. Here, the performance of the proposed hybrid system is implemented in the MATLAB and is compared with several existing methods.

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Section: Introductionmentioning

confidence: 99%

A hybrid approach for PV based grid tied intelligent controlled water pump system

Selvakumaran,

Baskaran

2024

Adaptive Control & Signal

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“…[8] Reducing the states in modeling plug-in hybrid EVs (PHEVs) can expedite calculations, and optimizing PHEV modeling in various charging scenarios is vital for reliability assessment. [9] Prioritizing PHEV attributes and understanding stochastic properties under different charging conditions are essential for accurate assessments. [10] Various works were earlier presented in the literature depending on the placement of EV FCSs for the reliability of distribution network by utilizing different approaches and features.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Technique for Optimal Placement of Fast‐Charging Stations of Electric Vehicles for the Reliability of Distribution Network

Ranjith Kumar,

Vallimurugan

2023

Energy Tech

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Proper planning for electric vehicle (EV) charging stations, as well as the necessary network development, is critical for the continued growth of EVs and conventional loads. This article proposes a hybrid method for the allocation of fast‐charging stations (FCSs) and photovoltaic (PV) with battery energy storage (BES) and scheduling. The proposed hybrid technique is the wrapper of golden jackal optimization (GJO) and random forest algorithms (RFA), commonly named the GJO–RFA technique. Using the GJO approach, the allocation and EV assignment problems are resolved. RFA is used to address EV, traffic flow, and PV‐related uncertainties. The objective of the proposed approach is to minimize the loss of energy, investments, index of voltage deviation, and operation and maintenance costs of FCS, PV, and BES. The associated important factors are also assessed, including the number of charging ports, FCS capacity, and EV flow caught using a FCS. As a test example, a 33‐node radial distribution network with the appropriate traffic network is used. For the final problem, the proposed approach to minimal energy loss is 2622.7270 kWh. By then, the performance of the proposed approach is executed in MATLAB, and it is contrasted with other existing techniques. The result shows that the proposed method‐related energy loss is less than existing approaches.

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A CryStAl-RDF technique-based integrated circuit topology for fast charging station of electric vehicle (EV)

Ravindran,

Nallathambi

2023

Electr Eng

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Energy Bill Minimisation of Dynamic Tariff Bound Residential Consumers by Intentional Load Shifting

Cited by 9 publications

References 23 publications

A hybrid approach for PV based grid tied intelligent controlled water pump system

A hybrid approach for PV based grid tied intelligent controlled water pump system

A Hybrid Technique for Optimal Placement of Fast‐Charging Stations of Electric Vehicles for the Reliability of Distribution Network

A CryStAl-RDF technique-based integrated circuit topology for fast charging station of electric vehicle (EV)

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