Selection of renewable power generation to reduce transmission congestion

Sreenivasulu, J.; Varma, P. Srinivasa; Sankar, V.

doi:10.1109/icecds.2017.8389809

Cited by 2 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Literature Review. One of the important issues for maintaining the security and reliability of the network is CM [8]. When overload appears on network lines, network congestion occurs [9].…”

Section: Introductionmentioning

confidence: 99%

Providing a Novel Approach Based on Decomposition for Congestion Management considering EVCSs, Wind Farms, and DLC

Nikkhah

Samadi

Hajiabadi

et al. 2023

International Journal of Energy Research

View full text Add to dashboard Cite

The acceptance of renewable energy sources and electric vehicle charging stations (EVCSs) around the world is growing, which changes the network’s congestion. From the operator’s perspective, congestion management is essential for network reliability despite increased demand. Additionally, it is among the most crucial elements in preventing network market power. Therefore, the items affecting the congestion changes of network lines, in particular, congested lines, are important for the operator. In this paper, using an analytical method and structural decomposition, the impact of wind farms, EVCSs, and demand response to changes in network line congestion in various cases has been investigated. In addition, some indices have been proposed to evaluate the ability of each item to change the congestion at low and peak loads. The proposed method has been implemented on the IEEE standard 24-bus network, and the results have been analyzed. This method is an effective tool for the network operator to predict the state of the network due to changes in items.

show abstract

Section: Introductionmentioning

confidence: 99%

Providing a Novel Approach Based on Decomposition for Congestion Management considering EVCSs, Wind Farms, and DLC

Nikkhah

Samadi

Hajiabadi

et al. 2023

International Journal of Energy Research

View full text Add to dashboard Cite

show abstract

“…Section 3 presents the reliability evaluation. In Section 4 the results are analysed and in Section 5 the conclusion for work done is discussed [14].…”

Section: Introductionmentioning

confidence: 99%

Unit commitment based reliability analysis with contingency constraint

Syed¹,

Varma²,

Prakash³

et al. 2019

IJEECS

Self Cite

View full text Add to dashboard Cite

<span lang="EN-IN">Unit commitment state’s the strategic choice to be prepared in order to define which of the accessible power plants should be taken into account to supply power. It permits utilities to reduce generation price of power. In this paper, the unit commitment problem is elucidated by taking N-1-1 contingency as a foremost constraint. The standard N-1-1 contingency takes the loss of sequential two components in the network having intervening interval for network modifications in the middle of two losses. The crucial objective to carry out contingency constrictions is to make certain that the operations of power system are adequately strong to unexpected losses of the components of the network. The optimal scheduling/allocation of the generating units is resolved by taking into account the N-1-1 criterion of contingency. By considering the N-1-1 criterion of contingency, the problem results to give an optimised model which is a linear model of mixed integer form. The linear program of mixed integer is a technique of an operational assessment in which restriction is imposed on few variables to be integers. Primarily benders decomposition was considered but for the improvement of results, the algorithm of branch and cut is presented. IEEE 30 bus system is taken into consideration and widespread analysis is accomplished to associate performance of the system under N-1-1 criterion contingency. The computational outcomes determine the value for taking into concern the intervening interval for the adjustments of the system with respect to the cost and robustness of the system. Later to the above model reliability assessment is proposed to calculate the Loss Of Load Expected (LOLE). This model is solved using MATLAB/MATPOWER software.</span>

show abstract

Selection of renewable power generation to reduce transmission congestion

Cited by 2 publications

References 17 publications

Providing a Novel Approach Based on Decomposition for Congestion Management considering EVCSs, Wind Farms, and DLC

Providing a Novel Approach Based on Decomposition for Congestion Management considering EVCSs, Wind Farms, and DLC

Unit commitment based reliability analysis with contingency constraint

Contact Info

Product

Resources

About