Optimal oversizing of utility-owned renewable DG inverter for voltage rise prevention in MV distribution systems

Ali, Abdelfatah; Raisz, Dávid; Mahmoud, Karar

doi:10.1016/j.ijepes.2018.08.040

Cited by 56 publications

(34 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, the stochastic models of PV generation and load are explained. Beta pdf is used to model hourly solar irradiance [16], [30], while the hourly load is modeled by using a normal pdf [31].…”

Section: Modeling Of Solar Irradiance and Loadmentioning

confidence: 99%

“…Here, we study the impact of the charging/discharging schemes of PEVs on the allocation results of PV for a larger distribution system (69-bus system [30]). As illustrated for the small 33-bus distribution system, the PV locations with considering different charging/discharging schemes of PEVs are the same, but their capacities are different.…”

Section: Optimal Locations and Capacities Of Pv For A Larger Distrmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

Ali

Raisz

Mahmoud

et al. 2020

IEEE Trans. Sustain. Energy

Self Cite

View full text Add to dashboard Cite

Recently, the penetration of photovoltaic (PV) units and plug-in electric vehicles (PEVs) has been quickly increased worldwide. Due to the intermittent nature of PV and the stochastic nature of PEVs, several operation problems can be noticed in distribution systems, including excessive energy losses and voltage violations. In this paper, an optimization-based algorithm is proposed to accurately determine the optimal locations and capacities of multiple PV units in the presence of PEVs to minimize energy losses while considering various system constraints. The proposed algorithm considers the uncertainty of PV and loads, and the stochastic nature of PEVs. Furthermore, the operational constraints of PEVs are incorporated in the optimization model: 1) arrival and departure times, 2) initial state of charge (SOC), 3) minimum preset state of charge by the owner, and 4) the time-of-use electricity tariff, and 5) different charging control schemes. The optimal PV planning model is formulated as a two-layer optimization problem that ensures an optimal PV allocation while optimizing PEV charging simultaneously. A two-layer metaheuristic method is developed to solve the optimization model considering annual datasets of the studied distribution systems. The results demonstrate the efficacy of the proposed algorithm. Index Terms-Distribution systems; photovoltaic; plug-in electric vehicle; energy losses; optimal allocation. I. INTRODUCTION S the annual demand on electricity grows, the use of distributed energy resources (DER) in power distribution systems has remarkably increased throughout the world. Photovoltaic (PV) is one of the most promising DER types. Indeed, the connection of PV units to distribution systems has several benefits to various entities, such as utility, owner, and final user. It is a fact that PV units with their active/reactive power control functionalities can improve the reliability of the power supply, enhance voltage profile, enhance power quality, and minimize energy losses [1]-[4]. Nevertheless, the

show abstract

Section: Modeling Of Solar Irradiance and Loadmentioning

confidence: 99%

Section: Optimal Locations and Capacities Of Pv For A Larger Distrmentioning

confidence: 99%

Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

Ali

Raisz

Mahmoud

et al. 2020

IEEE Trans. Sustain. Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…Here, the stochastic behaviors of the output power by wind turbine and load demand are described. Weibull pdf and normal pdf are utilized to model hourly wind speed and hourly load demand, respectively [28]- [30].…”

Section: Modeling Wind Speed and Loadmentioning

confidence: 99%

Optimal Allocation of Inverter-Based WTGS Complying With Their DSTATCOM Functionality and PEV Requirements

Ali

Mahmoud

Raisz

et al. 2020

IEEE Trans. Veh. Technol.

Self Cite

View full text Add to dashboard Cite

Recently, the integration of inverter-based wind turbine generation systems (WTGS) and plug-in electric vehicles (PEV) has remarkably been expanded into distribution systems throughout the world. These distributed resources could have various technical benefits to the grid. However, they are also associated with potential operation problems due to their stochastic nature, such as high power losses and voltage deviations. An optimizationbased approach is introduced in this paper to properly allocate multiple WTGS in distribution systems in the presence of PEVs. The proposed approach considers 1) uncertainty models of WTGS, PEV, and loads, 2) DSTATCOM functionality of WTGS, and 3) various system constraints. Besides, the realistic operational requirements of PEVs are addressed, including initial and preset conditions of their state of charge (SOC), arriving and departing times, and various controlled/uncontrolled charging schemes. The WTGS planning paradigm is established as a bi-level optimization problem which guarantees the optimal integration of multiple WTGS, besides optimized PEV charging in a simultaneous manner. For this purpose, a bi-level metaheuristic algorithm is developed for solving the planning model. Intensive simulations and comparisons with various approaches on the 69-bus distribution system interconnected with four PEV charging stations are deeply presented considering annual datasets. The results reveal the effectiveness of the proposed approach.

show abstract

“…However, in recent years various methods are proposed to reduce the risk of costly scenarios [12]. In this paper, we used the sensitivity analysis method to examine the effect of weighted coefficients on system design quantity.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

“…The conventional voltage regulation devices such as on-load tap changers (OLTCs) are not capable of treating these issues completely without aproper coordination with DG. An optimization model is proposed to determine the optimal DG inverter oversize for voltage regulation in the distribution system [12]. Reference [13] proposed an optimal model to design microgrids, taking into account the uncertainty of renewable distributed generations such as wind turbines and photovoltaic systems.…”

Section: Introductionmentioning

confidence: 99%

Scenario-Based Design for Multiple Microgrids with High DG Penetration Considering Uncertainty on Demand and Generation Side

Sedaghati

Soory

2019

Period. Polytech. Elec. Eng. Comp. Sci.

View full text Add to dashboard Cite

In this paper a new scenario-based approach is proposed to design optimized multiple-microgrids considering the uncertainty of load consumption and renewable DGs generation. The proposed method is used to determine the optimal capacity, type, number and location of renewable and controllable distributed generation resources along with the switch optimal location to cluster the traditional distribution network into a set of interconnected microgrids with economic and reliable structured. This study aims to decrease the total design costs including investment and operation costs, system loss cost, air pollution cost as well as the microgrids energy not supplied cost. Different considered objective functions have been modeled using weighted coefficients method as a singleobjective nonlinear mixed integer problem. In addition, the uncertainty of the problem input parameters is modeled using scenario generation method, and in order to decrease the computational burden and increase the program execution speed, the backward scenario reduction technique is used. The Cuckoo optimization algorithm is used to optimize the objective function, and also the effect of optimization coefficients on the design problem and the robustness of the proposed algorithm are investigated using sensitivity analysis. Finally, the efficiency and performance of the proposed method are evaluated on the standard 33-bus network and the results show that the proposed method is an effective tool to design interconnected microgrids with consideration of uncertainty.

show abstract

Optimal oversizing of utility-owned renewable DG inverter for voltage rise prevention in MV distribution systems

Cited by 56 publications

References 41 publications

Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

Optimal Allocation of Inverter-Based WTGS Complying With Their DSTATCOM Functionality and PEV Requirements

Scenario-Based Design for Multiple Microgrids with High DG Penetration Considering Uncertainty on Demand and Generation Side

Contact Info

Product

Resources

About