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• Cascading jam-congestion and source-load mechanism in ET-DN was demonstrated. • Combined the DTA model of TN based on DVI with the multi-period AC OPF model of DN based on MISOCP. • Jam/Congestion in ET-DN may cause undesirable chain propagation and source-load mismatch problem. • A joint optimization scheme of ET-DN with dynamic distribution network reconfiguration is proposed, to eliminate jam-congestion deterioration and improve the operation of ET-DN system. The development of dynamic wireless charging technology and photovoltaic distributed generation sources provides a solution to eliminating the mile anxiety of electric vehicles (EVs), however which strengthens the spatio-temporal coupling in electrified transportation-distribution network (ET-DN). In this paper, by combining the dynamic traffic assignment model of transportation networks (TNs) with the multi-period AC optimal power flow model of distribution networks (DNs), the dynamic coupling model for ET-DN is established to depict the spatio-temporal distribution of EV charging load and jam-congestion cost. We found that coordinating the EVs charging and active/reactive power resources helps to alleviate jam in TNs and congestion in DNs, while source-load spatio-temporal mismatching may lead to the deterioration of jam-congestion in ET-DN, even there are sufficient active/reactive power resources, which has an adverse impact on the system security and economy. To overcome the source-load spatio-temporal mismatching problem, a joint optimization scheme of ET-DN with dynamic distribution network reconfiguration is proposed to eliminate jam-congestion deterioration and improve the operation of ET-DN system. [ABSTRACT FROM AUTHOR]

• This paper presents a new analytical method to optimal siting and sizing of DERs. • This method is based on a minimizing the total daily power losses. • In the formulation, the new factor in order to consider time-varying DG defined. • This paper is considered several types of time-varying load and DG model. • This method identifies optimal buses to be placed on DERs and sizes of this units. In the most studies related to allocation of distributed generation the load model assumed in constant. Such assumptions may lead to inconsistent and misleading results in the reduction of energy losses, improve system stability, etc. However, this paper is considered several different types of time-varying to allocation of units. In this study, Optimal Sizing and Siting of Distribution Generation units (Consisting of dispatchable, nondispatchable and photovoltaic) Problem are provided at the same time with considering the role of demand response and time-varying voltage-dependent load models (Consisting of commercial, industrial and residential). This method first identifies a set of buses to be placed of DG units. The optimal sizes of DG units at the identified buses are then evaluated by minimizing Multiobjective Index (Consisting of active, reactive power losses). The proposed method has been tested and validated on 33-buses test distribution system. The results show that demand response and different load models have a significant impact on the planning of Distribution Generation units in radial distribution network. [ABSTRACT FROM AUTHOR]

• In addition to load compensation, UPQC is enhanced to supply reactive power to grid. • The reactive power supplied is flexible as per the requirement from the grid. • UPQC-DG can participate in providing ancillary service in smart grid scenario. • Reactive power is regulated using additional PI controller in UPQC-DG control. • Power angle control is used to reduce additional VA burden on UPQC-DG. Unified Power Quality Conditioner with Distributed Generation (UPQC-DG) is combined equipment that not only compensates power quality issues but also integrates distributed generation into the grid. This paper proposes to incorporate additional functionality in UPQC-DG to provide reactive power support to the grid. The proposed functionality enables the UPQC-DG to not only compensate for load reactive power but also to export it to the grid in a controllable and regulated manner. The control method of the proposed UPQC-DG system is based on a combination of Synchronous Reference Frame (SRF) theory and Unit Vector Template Generation (UVTG) and utilizes an additional PI controller to control the reactive power flow to the grid. Since the UPQC-DG in the proposed research handles an increased quantity of reactive power, the work incorporates the Power Angle Control (PAC) method to share reactive power burden between series and shunt Active Power Filters (APFs) of UPQC-DG for reducing the overall rating. The proposed UPQC-DG system is validated using exhaustive real-time simulations in Opal-RT for steady-state and dynamic performance. [ABSTRACT FROM AUTHOR]