scholarly journals Sizing and Sitting of DERs in Active Distribution Networks Incorporating Load Prevailing Uncertainties Using Probabilistic Approaches

2021 ◽  
Vol 11 (9) ◽  
pp. 4156
Author(s):  
Amin Foroughi Nematollahi ◽  
Hossein Shahinzadeh ◽  
Hamed Nafisi ◽  
Behrooz Vahidi ◽  
Yassine Amirat ◽  
...  
Keyword(s):  
Storage System ◽  
Distribution Networks ◽  
Energy Storage System ◽  
Optimal Placement ◽  
Distribution Model ◽  
Optimal Size ◽  
Diesel Generator ◽  
Supply Source ◽  
Bee Colony ◽  
Pv Generation

In this study, a microgrid scheme encompassing photovoltaic panels, an energy storage system, and a diesel generator as a backup supply source is designed, and the optimal placement for installation is suggested. The main purpose of this microgrid is to meet the intrinsic demand without being supplied by the upstream network. Thus, the main objective in the design of the microgrid is to minimize the operational cost of microgrid’s sources subject to satisfy the loads by these sources. Therefore, the considered problem in this study is to determine the optimal size and placement for generation sources simultaneously for a microgrid with the objectives of minimization of cost of generation resources along with mitigation of power losses. In order to deal with uncertainties of PV generation and load forecasting, the lognormal distribution model and Gaussian process quantile regression (GPQR) approaches are employed. In order to solve the optimization problem, the lightning attachment procedure optimization (LAPO) and artificial bee colony (ABC) methods are employed, and the results are compared. The results imply the more effectiveness and priority of the LAPO approach in comparison with ABC in convergence speed and the accuracy of solution-finding.

scholarly journals Smart Transformers as Active Interfaces Enabling the Provision of Power-Frequency Regulation Services from Distributed Resources in Hybrid AC/DC Grids

2020 ◽  
Vol 10 (4) ◽  
pp. 1434 ◽  
Author(s):  
Justino Rodrigues ◽  
Carlos Moreira ◽  
João Peças Lopes
Keyword(s):  
Storage System ◽  
Computational Simulation ◽  
Distribution Networks ◽  
Energy Storage System ◽  
Active Power ◽  
Frequency Regulation ◽  
Distributed Resources ◽  
Regulation Services ◽  
Power Frequency ◽  
Pv Generation

Smart Transformers (STs) are being envisioned as a key element for the controllability of distribution networks in a future context of Renewable Energy Source (RES), Energy Storage System (ESS) and Electric Vehicle (EV) massification. Additionally, STs enable the deployment of hybrid AC/DC networks, which offer important advantages in this context. In addition to offering further degrees of controllability, hybrid AC/DC networks are more suited to integrate DC resources such as DC loads, PV generation, ESS and EV chargers. The purpose of the work developed in this paper is to address the feasibility of exploiting STs to actively coordinate a fleet of resources existing in a hybrid AC/DC network supplied by the ST aiming to provide active power-frequency regulation services to the upstream AC grid. The feasibility of the ST to coordinate the resources available in the hybrid distribution AC/DC network in order to provide active power-frequency regulation services is demonstrated in this paper through computational simulation. It is demonstrated that the aforementioned goal can be achieved using droop-based controllers that can modulate controlled variables in the ST.

A Study of Optimal Capacity Configuration with Multi-Objective for Islanded Micro-Grid

2014 ◽  
Vol 521 ◽  
pp. 464-468 ◽  
Author(s):  
Xin Yi Lu ◽  
Yang Qi Huang ◽  
Nian Liu ◽  
Jian Hua Zhang ◽  
Lin Ze Huang
Keyword(s):  
Storage System ◽  
Energy Storage System ◽  
Diesel Generator ◽  
Turbine Generator ◽  
Nsga Ii ◽  
Generator System ◽  
Micro Gas Turbine ◽  
Optimal Capacity ◽  
Micro Grid ◽  
Pv Generation

This paper investigates a method to configure capacity of different kinds of generation in an islanded micro-grid, including PVGS (PV generation system), WTGS (wind turbine generator system), ESS (Energy Storage System) and MTGS (Micro gas turbine generator system), with a diesel generator set as reserve. Based on the structure, we build a mathematical model with restraints in operation and two objectives, of which one is the annual cost of the devices and the other is the percentage of utilization of PV and wind resources. A strategy of operation based on the SOC (State of Charge) of the ESS is put forward and power the ESS get charged and discharged and generated by the MTGS is determined according to this strategy. NSGA-II is applied to solve the model. Finally, a case is addressed. This paper would provide support to construction of islanded micro-grid.

scholarly journals Optimal planning of hybrid photovoltaic/battery/diesel generator in ship power system

2020 ◽  
Vol 11 (3) ◽  
pp. 1527
Author(s):  
Abba Lawan Bukar ◽  
Chee Wei Tan ◽  
Kwan Yiew Lau ◽  
Ahmed Tijjani Dahiru
Keyword(s):  
Power Systems ◽  
Power System ◽  
Storage System ◽  
Energy Storage System ◽  
Optimal Size ◽  
Diesel Generator ◽  
Time Zone ◽  
Investment Cost ◽  
High Investment ◽  
Ship Power System

In line with the increasing concern on the pollution release by marine ships, renewable energy technologies in ships power system has received so much attention. Recently, photovoltaic (PV) and energy storage system (ESS) are been integrated into conventional diesel generator in ships power system Nevertheless, improper sizing of the overall ship power station will result in a high investment cost and increase CO<sub>2</sub> emission. This paper devised a methodology to compute the optimal size of the ESS, PV and diesel generator in a ship power system to minimize CO<sub>2</sub> emission, fuel cost, and investment cost. It is a well-known fact that power generation in a sailing ship depend on the time zone, local time, date, latitude, and longitude along ship navigation route and the condition of the ship power system also differs from power systems on land. The devised method in this paper takes into accounts the geographical and season variation of solar insolation along the route from Lagos (Nigeria) to Conakry (Guinea) and accurately model the power output of PV modules is along the route.

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