Improving reliability of distribution networks using plug-in electric vehicles and demand response

Sadeghian, Omid; Nazari-Heris, Morteza; Abapour, Mehdi; Taheri, Saman; Zare, Kazem

doi:10.1007/s40565-019-0523-8

Cited by 85 publications

(50 citation statements)

References 33 publications

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“…Figure 5A,B demonstrates the 10‐bus and 33‐bus distribution networks, respectively. The associated data of each system are obtained from References 40 to 42.…”

Section: Case Studiesmentioning

confidence: 99%

A clustering‐based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems

Sadeghian

Oshnoei

Tarafdarhagh

et al. 2020

Int Trans Electr Energ Syst

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“…Figure 5A,B demonstrates the 10‐bus and 33‐bus distribution networks, respectively. The associated data of each system are obtained from References 40 to 42.…”

Section: Case Studiesmentioning

confidence: 99%

A clustering‐based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems

Sadeghian

Oshnoei

Tarafdarhagh

et al. 2020

Int Trans Electr Energ Syst

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“…However, an economic analysis was not included in the work. Reference [29] performed an analysis of the demand response programs and charging of EVs by integrating them in the buses of radial distribution networks. The reliability of radial distribution systems was further elaborated by using a particle swarm optimization (PSO) algorithm with the objective of minimizing the loss of load expectation.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Grid-connected Solar-wind Hybrid System with Electric Vehicle Charging Station

Singh

Chauhan

Singh

2021

Journal of Modern Power Systems and Clean Energy

107

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Recently, renewable power generation and electric vehicles (EVs) have been attracting more and more attention in smart grid. This paper presents a grid-connected solar-wind hybrid system to supply the electrical load demand of a small shopping complex located in a university campus in India. Further, an EV charging station is incorporated in the system. Economic analysis is performed for the proposed setup to satisfy the charging demand of EVs as well as the electrical load demand of the shopping complex. The proposed system is designed by considering the cost of the purchased energy, which is sold to the utility grid, while the power exchange is ensured between the utility grid and other components of the system. The sizing of the component is performed to obtain the least levelized cost of electricity (LCOE) while minimizing the loss of power supply probability (LPSP) by using recent optimization techniques. The results demonstrate that the LCOE and LPSP for the proposed system are measured at 0.038 $/kWh and 0.19% with a renewable fraction of 0.87, respectively. It is determined that a cost-effective and reliable system can be designed by the proper management of renewable power generation and load demands. The proposed system may be helpful in reducing the reliance on the over-burdened grid, particularly in developing countries.

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“…In addition to GMS, demand response programs can also impact the short-term generation scheduling of CHP-based systems. Demand response is one of the methods used to enhance power system flexibility Mirzaei et al [2] and is mainly adopted for cost reduction Sadeghian et al [3] and reliability improvement Sadeghian et al [4]. A shift-based demand response model has been adopted by researchers for economic dispatch of CHP-based microgrids Nazari-Heris et al [5].…”

Section: Introductionmentioning

confidence: 99%

Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach

et al. 2020

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Yearly generation maintenance scheduling (GMS) of generation units is important in each system such as combined heat and power (CHP)-based systems to decrease sudden failures and premature degradation of units. Imposing repair costs and reliability deterioration of system are the consequences of ignoring the GMS program. In this regard, this research accomplishes GMS inside CHP-based systems in order to determine the optimal intervals for predetermined maintenance required duration of CHPs and other units. In this paper, cost minimization is targeted, and violation of units’ technical constraints like feasible operation region of CHPs and power/heat demand balances are avoided by considering related constraints. Demand-response-based short-term generation scheduling is accomplished in this paper considering the maintenance intervals obtained in the long-term plan. Numerical simulation is performed and discussed in detail to evaluate the application of the suggested mixed-integer quadratic programming model that implemented in the General Algebraic Modeling System software package for optimization. Numerical simulation is performed to justify the model effectiveness. The results reveal that long-term maintenance scheduling considerably impacts short-term generation scheduling and total operation cost. Additionally, it is found that the demand response is effective from the cost perspective and changes the generation schedule.

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Improving reliability of distribution networks using plug-in electric vehicles and demand response

Cited by 85 publications

References 33 publications

A clustering‐based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems

A clustering‐based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems

Feasibility of Grid-connected Solar-wind Hybrid System with Electric Vehicle Charging Station

Generation Units Maintenance in Combined Heat and Power Integrated Systems Using the Mixed Integer Quadratic Programming Approach

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