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Optimal Operation and Planning of Active Distribution Systems in the Presence of Plug-In Electric Vehicles.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Optimal Operation and Planning of Active Distribution Systems in the Presence of Plug-In Electric Vehicles./
Author:	Mohamed, Abdelfatah Ali Ahmed.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	142 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: A.
Contained By:	Dissertations Abstracts International85-07A.
Subject:	Mathematical programming. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30776390
ISBN:	9798381201246

Optimal Operation and Planning of Active Distribution Systems in the Presence of Plug-In Electric Vehicles.
Mohamed, Abdelfatah Ali Ahmed.

Optimal Operation and Planning of Active Distribution Systems in the Presence of Plug-In Electric Vehicles. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 142 p.

Source: Dissertations Abstracts International, Volume: 85-07, Section: A.

Thesis (Ph.D.)--Budapest University of Technology and Economics (Hungary), 2019.

This item must not be sold to any third party vendors.

Recently, the use of renewable energy sources (RES) has been rapidly increased worldwide. The most notable RES are wind power and photovoltaic. These RES are often distributed according to load centers in distribution systems. These sources are described as intermittent sources in which their output power varies depending on weather conditions. Therefore, the performance of distribution systems is greatly affected by these sources. These resources may have positive or negative technical impacts on the grid, depending on their locations, penetrations, and types. High penetration of RES in distribution systems has significant impacts on several practical issues, such as voltage rise/drop, voltage fluctuations, and system efficiency.The use of plug-in electric vehicles (PEVs) is expected to increase rapidly worldwide. The batteries of PEVs have the potential to provide numerous ancillary services to the grid owing to the fact that they can act as either loads or sources when connected to the grid. In other words, PEVs can be assumed as controllable loads to level the system demand during the off-peak period and as generation devices during peak period or high electricity price period to provide capacity and energy services to grid. Unlike large generators, PEV batteries energy storage and power electronics are designed to provide large and frequent power fluctuations over a short time period. This makes the PEVs especially suitable for regulation. Once the vehicle receives a signal from the aggregator, it can respond in less than a second to change its power output.The aim of this work is to develop novel approaches to optimize the operation and planning of active distribution systems in the presence of PEVs. The distributed resources should be optimally coordinated by a central control system based on mathematical/ numerical approaches. The distribution of both active and reactive power flows inside the distribution system should be optimized to maximize the productivity as well as minimize the operating losses and, at the same time, the operation constraints like voltage and power flow limitations must be ensured under the charging/discharging of PEVs.For this purpose, different methods are proposed for mitigating both voltage fluctuation and voltage rise resulted by RES in the presence of PEVs. The idea of these methods is to simultaneously optimize the operation of RES inverters and PEVs charging stations (CS) so as to mitigate the impacts of RES. The charging/discharging power of PEVs and the reactive power of the bidirectional inverters of RES are simultaneously computed for mitigating impacts of cloud transients/wind speed changes.Furthermore, an interval optimization method is presented to optimally schedule PEVs with considering the uncertainty of RES generation and loads. For this purpose, the RES generation (including photovoltaic and wind power) and loads are considered as interval parameters, and the charging/discharging power of PEV is expressed as an interval variable to be optimally computed. Further, an optimization-based method is proposed to calculate the optimal oversize of the interfacing inverter employed in various DG types to regulate voltages and to reduce losses with minimum total costs. The proposed method considers the active power curtailment (APC) feature in the DG inverter and the transformer taps. Different control schemes of the interfacing inverter are considered and incorporated in the proposed optimization model.

ISBN: 9798381201246Subjects--Topical Terms:

1422522
Mathematical programming.

Optimal Operation and Planning of Active Distribution Systems in the Presence of Plug-In Electric Vehicles.
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506 $a This item must not be sold to any third party vendors.
506 $a This item must not be sold to any third party vendors.
520 $a Recently, the use of renewable energy sources (RES) has been rapidly increased worldwide. The most notable RES are wind power and photovoltaic. These RES are often distributed according to load centers in distribution systems. These sources are described as intermittent sources in which their output power varies depending on weather conditions. Therefore, the performance of distribution systems is greatly affected by these sources. These resources may have positive or negative technical impacts on the grid, depending on their locations, penetrations, and types. High penetration of RES in distribution systems has significant impacts on several practical issues, such as voltage rise/drop, voltage fluctuations, and system efficiency.The use of plug-in electric vehicles (PEVs) is expected to increase rapidly worldwide. The batteries of PEVs have the potential to provide numerous ancillary services to the grid owing to the fact that they can act as either loads or sources when connected to the grid. In other words, PEVs can be assumed as controllable loads to level the system demand during the off-peak period and as generation devices during peak period or high electricity price period to provide capacity and energy services to grid. Unlike large generators, PEV batteries energy storage and power electronics are designed to provide large and frequent power fluctuations over a short time period. This makes the PEVs especially suitable for regulation. Once the vehicle receives a signal from the aggregator, it can respond in less than a second to change its power output.The aim of this work is to develop novel approaches to optimize the operation and planning of active distribution systems in the presence of PEVs. The distributed resources should be optimally coordinated by a central control system based on mathematical/ numerical approaches. The distribution of both active and reactive power flows inside the distribution system should be optimized to maximize the productivity as well as minimize the operating losses and, at the same time, the operation constraints like voltage and power flow limitations must be ensured under the charging/discharging of PEVs.For this purpose, different methods are proposed for mitigating both voltage fluctuation and voltage rise resulted by RES in the presence of PEVs. The idea of these methods is to simultaneously optimize the operation of RES inverters and PEVs charging stations (CS) so as to mitigate the impacts of RES. The charging/discharging power of PEVs and the reactive power of the bidirectional inverters of RES are simultaneously computed for mitigating impacts of cloud transients/wind speed changes.Furthermore, an interval optimization method is presented to optimally schedule PEVs with considering the uncertainty of RES generation and loads. For this purpose, the RES generation (including photovoltaic and wind power) and loads are considered as interval parameters, and the charging/discharging power of PEV is expressed as an interval variable to be optimally computed. Further, an optimization-based method is proposed to calculate the optimal oversize of the interfacing inverter employed in various DG types to regulate voltages and to reduce losses with minimum total costs. The proposed method considers the active power curtailment (APC) feature in the DG inverter and the transformer taps. Different control schemes of the interfacing inverter are considered and incorporated in the proposed optimization model.
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