Enhancing stakeholders involvement by suggestion system, Alborz province power distribution company experiences

2016 ◽  
Author(s):  
N. Eskandari ◽  
B. Jamshidieini ◽  
A. Dadashi ◽  
H. Khosravi
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Chao-Rong Chen ◽  
Ming-Jen Lan

Demand response (DR) is used mainly to help to schedule a customer’s power utilization based on the electricity price that is announced by the power distribution company so that both demand and supply can optimally benefit. The work proposes a users’ load model and the interior point method for optimal scheduling with elastic power utilization to minimize power price. The interior point method has the advantages of rapid convergence and robustness. Customers can not only use PV generators and battery sets as backup power sources, but also benefit from green energy. As revealed by the results herein, the use of elastic power utilization time intervals enables customers to pay less power price.


2017 ◽  
Vol 2017 (1) ◽  
pp. 297-299 ◽  
Author(s):  
Nasser Eskandari ◽  
Bahman Jamshidieini ◽  
Mojtaba Rafiei ◽  
Elham Abooei

2021 ◽  
Vol 2135 (1) ◽  
pp. 012010
Author(s):  
Oscar Danilo Montoya ◽  
Diego Armando Giral-Ramírez ◽  
Luis Fernando Grisales-Noreña

Abstract The optimal sizing of Distributed Generators (DG) in electric power distribution networks is carried out through a metaheuristic optimization strategy. To size DG it is proposed an optimal power flow model is formulated by considering that the location of these sources has been previously defined by the distribution company. The solution of the optimal power flow is reached with the Black Hole Optimizer (BHO). A methodology is used master-slave optimization methodology, where the BHO (i.e., master stage) defines the sizes of the DG and the slave stage evaluates the objective function with a load flow algorithm, this work using the triangular-based power flow method. Numerical results in the 33-node and the 69-node test system demonstrates the effectiveness and robustness of the proposed approach when compared with literature results.


2020 ◽  
Vol 16 (3) ◽  
pp. 89-111
Author(s):  
Animesh Agrawal ◽  
Hemant Kumar Diwakar ◽  
Suraj Kumar Mukti

Many researchers have identified that implementation of knowledge management (KM) improves the success rate of enterprise resource planning (ERP) in different sectors, but the support of KM in post-ERP implementation in the service sector is yet to be analyzed. The aim of the study is to confirm the support of KM and to identify the post-implementation effect of ERP on employees and service quality. For the fulfillment of this research, data were gathered from the service sector's employees and consumers. The research has been processed in three stages: The first stage includes the variables identification from the previously published literature and reduced to smaller groups with the help of IBM SPSS software. Second stage explores the preparation of conceptual model. The third stage involves the identification and substantiation of KM support with post-ERP implementation, which has been accomplished through a short brainstorming session with employees and senior manager of power distribution company. This research concludes that there is positive support of KM in post-ERP implementation.


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