Case Study. Regulating the Sharecropping System: Operation Barga

2001 ◽  
pp. 230-245 ◽  
Author(s):  
Uday Shankar Saha ◽  
Mandira Saha
Keyword(s):  
System Operation

scholarly journals Resolving the differences between system development and system operation using STAMP: a road safety case study in a low-income setting

Ergonomics ◽  
2021 ◽  
pp. 1-17
Author(s):  
Omar Faruqe Hamim ◽  
Mithun Debnath ◽  
Shahnewaz Hasanat-E-Rabbi ◽  
Md. Shamsul Hoque ◽  
Rich C. McIlroy ◽  
...  
Keyword(s):  
Low Income ◽  
Road Safety ◽  
System Development ◽  
System Operation ◽  
Safety Case ◽  
Low Income Setting

The effects of motion on in-vehicle touch screen system operation: A battle management system case study

2011 ◽  
Vol 14 (6) ◽  
pp. 494-503 ◽  
Author(s):  
Paul M. Salmon ◽  
Michael G. Lenné ◽  
Tom Triggs ◽  
Natassia Goode ◽  
Miranda Cornelissen ◽  
...  
Keyword(s):  
Management System ◽  
Touch Screen ◽  
System Operation ◽  
Screen System

Improvement of Forecasting Method of Recession Characteristics of River Flow Rate into a Dam by using Estimation of Steady State

2020 ◽  
pp. 1-10
Author(s):  
Tomonari Kawai ◽  
Katsuhiro Ichiyanagi ◽  
Takuo Koyasu ◽  
Kazuto Yukita ◽  
Yasuyuki Goto
Keyword(s):  
Steady State ◽  
State Estimation ◽  
Flow Rate ◽  
River Flow ◽  
System Operation ◽  
Forecasting Accuracy ◽  
Hydropower Plants ◽  
Dam Management ◽  
Forecasting Method

This paper describes an application of neural networks for forecasting the flow rate upper district of dams for hydropower plants. The forecasting of recession characteristics of the river flow after rainfalls is important with respect to system operation and dam management. We present a method for improving the precision of forecasting flow rate upper district of dams by utilizing steady-state estimation and recession time constant of the river flow. A case study was carried out on the upper district of the Yahagi River in Central Japan. It is found from our investigations that the forecasting accuracy is improved to 18.6% from 25.8% with a forecasted error of the total amount of river flow by using steady-state estimation.

Evaluation of Reactive Power Support and Loss Allocation in a Pool Based Competitive Electricity Market

2017 ◽  
Vol 18 (2) ◽  
Author(s):  
Tukaram Moger ◽  
Thukaram Dhadbanjan
Keyword(s):  
Electricity Market ◽  
Reactive Power ◽  
Western Region ◽  
Equivalent System ◽  
Power Demand ◽  
Relative Location ◽  
System Operation ◽  
New Approach ◽  
Loss Allocation

Abstract This paper presents a new approach using modified Y-bus matrix to compute the reactive power support and loss allocation in a pool based competitive electricity market. The inherent characteristic of the reactive power in system operation is properly addressed in the paper. A detailed case study on a 11-bus equivalent system is carried out to illustrate the effectiveness of the proposed approach. It is also tested on a large 259-bus equivalent system of Indian western region power grid. A comparison is also made with other existing approaches in the literature to highlight the features of the proposed approach. Simulation results show that the reactive power support and loss allocation from the proposed approach is carried out in a systematic manner which takes into consideration the power demand and the relative location of the nodes in the network.

scholarly journals Impact of Wind Power Generation on System Operation and Costs

2014 ◽  
Vol 8 (1) ◽  
pp. 580-588
Author(s):  
Wang Fei ◽  
Pan Wenxia ◽  
Quan Rui
Keyword(s):  
Wind Power ◽  
Power Plants ◽  
Unit Commitment ◽  
Mixed Integer ◽  
System Operation ◽  
Spinning Reserve ◽  
Proposed Model ◽  
Integer Problem ◽  
The Impact

In this paper, a deterministic security-constrained unit commitment (SCUC) model is deployed in order to optimize generation output and allocation for spinning reserve considering different wind power dispatch modes. In this model, the scheduling of power plants takes into account a simultaneous clearing of power, reserve capacity requirement and CO2 emission and so on. Spinning reserve is modelled as an exogenous parameter which represents load uncertainty and wind power uncertainty. Special attention in the study is given to determine the impact of different dispatch modes with wind power and different levels of spinning reserve requirement on system operation and costs. The proposed model can be formulated as a mixed-integer problem (MIP) and solved in GAMS by using the CPLEX optimizer. The model is applied to a wind-fired intensive power system for three case studies. The results include the optimal spinning reserve and generator output of each generator, CO2 emission cost and cost of wind power for each case study. The results show that taking wind power as a control option can improves system operation and costs if wind generation and traditional sources generation are coordinated properly.

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