scholarly journals Available Transfer Capability Optimisation Using Evolutionary Programming

2007 ◽  
Vol 4 (2) ◽  
pp. 13 ◽  
Author(s):  
Muhammad Murtadha Othman ◽  
Bibi Norashiqin Sheikh Rahimullah
Keyword(s):  
Power Flow ◽  
Computation Time ◽  
Electric Power Industry ◽  
Evolutionary Programming ◽  
Base Case ◽  
Available Transfer Capability ◽  
Ac Power ◽  
Transfer Capability ◽  
Contingency Ranking

In a deregulated electric power industry, transmission providers are required to rapidly produce commercially viable information of available transfer capability (ATC) so that such information can help power marketers, sellers and buyers in planning, operation and reserving transmission services. ATC is a measure of the additional amount of power transfer that may flow across the interface, over and above the base case flows without jeopardizing power system security. This paper presents the ATC determination using the evolutionary programming (EP) technique using modified Gaussian formulation. The proposed EP technique has the ability in providing accurate ATC results and the computation burden caused by the AC power flow solutions are significantly reduced. The outages of critical line that adversely affect the amount of ATC are determined by performing the line contingency ranking and selection. ATC determinations have been made on the case study of Malaysian system. Comparison in terms of accuracy and computation time in estimating the ATC are made by considering the three methods which are the EP using modified Gaussian formulation (EPMG), EP using standard Gaussian formulation (EPSG) and the recursive AC power flow solution (RACPF).

Available Transfer Capability Optimisation Using Evolutionary Programming

2007 ◽  
Vol 4 (2) ◽  
pp. 13
Author(s):  
Muhammad Murtadha Othman ◽  
Bibi Norashiqin Sheikh Rahimullah
Keyword(s):  
Power Flow ◽  
Computation Time ◽  
Electric Power Industry ◽  
Evolutionary Programming ◽  
Base Case ◽  
Available Transfer Capability ◽  
Ac Power ◽  
Transfer Capability ◽  
Contingency Ranking

In a deregulated electric power industry, transmission providers are required to rapidly produce commercially viable information of available transfer capability (ATC) so that such information can help power marketers, sellers and buyers in planning, operation and reserving transmission services. ATC is a measure of the additional amount of power transfer that may flow across the interface, over and above the base case flows without jeopardizing power system security. This paper presents the ATC determination using the evolutionary programming (EP) technique using modified Gaussian formulation. The proposed EP technique has the ability in providing accurate ATC results and the computation burden caused by the AC power flow solutions are significantly reduced. The outages of critical line that adversely affect the amount of ATC are determined by performing the line contingency ranking and selection. ATC determinations have been made on the case study of Malaysian system. Comparison in terms of accuracy and computation time in estimating the ATC are made by considering the three methods which are the EP using modified Gaussian formulation (EPMG), EP using standard Gaussian formulation (EPSG) and the recursive AC power flow solution (RACPF).

scholarly journals Evaluation and Analysis of Available Transfer Capability in Deregulated Power System Environment

2018 ◽  
Vol 7 (1.8) ◽  
pp. 188
Author(s):  
M Dhana Sai Sri ◽  
P Srinivasa Varma
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Simulation Analysis ◽  
Available Transfer Capability ◽  
High Efficient ◽  
Transfer Capability ◽  
Power System Market ◽  
Bus System

Reliability of network is need of the hour in the present power system market and is constrained by capability of the network. The network calculations are performed using accurate and high efficient strategies. In order to perform power transactions in the system, the computation of available transfer capability is essential which a metric of capability of the system. Generally, effect wattless power is not taken into account in the methodologies for computation of linear available transfer capability. In this paper, a methodology which considers the reactive power flows for enhancement of linear ATC is presented. In order to perform analysis theoretically, a standard IEEE 3 bus system is considered. Another case study i.e., 14 bus system available in IEEE test systems is used for simulation analysis. FACTS technology is incorporated in the existing system in order to enhance capability of the network. To facilitate transfer maximum power in the system, an optimal power-flow-based ATC enhancement model is formulated and presented along with simulation results. Studies based on the IEEE 3-bus system and 14-bus systems with TCSC demonstrate the effectiveness of FACTS control on ATC enhancement.  

Evaluation of Available Transfer Capability Using Transient Stability Constrained Line Flows

2014 ◽  
Vol 15 (1) ◽  
pp. 59-68
Author(s):  
Lazarus Okechukwu Uzoechi ◽  
Satish M. Mahajan
Keyword(s):  
Transient Stability ◽  
Direct Determination ◽  
Computation Time ◽  
Critical Energy ◽  
Energy Performance ◽  
Electric Power System ◽  
Available Transfer Capability ◽  
Transfer Capability ◽  
The Stability ◽  
The Impact

Abstract This paper presents a methodology to evaluate transient stability constrained available transfer capability (ATC). A linear and fast line flow–based (LFB) method was adopted to optimize the ATC values. This enabled the direct determination of the system source–sink locations. This paper formulated different market transactions considering bilateral and multilateral impacts in the stability constrained ATC. The proposed method was demonstrated on the WECC 9-bus and IEEE 39-bus systems. The critical energy performance index (CEPI) enabled the direct identification of candidates for contingency screening based on ranking. This index helped to reduce the list of credible contingencies for ATC evaluation and, therefore, the computation time. The results of the proposed ATC method are consistent with the literature and can be deployed for fast assessment of the impact of transactions in an electric power system.

scholarly journals A Heuristic Ranking Approach on Capacity Benefit Margin Determination Using Pareto-Based Evolutionary Programming Technique

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Muhammad Murtadha Othman ◽  
Nurulazmi Abd Rahman ◽  
Ismail Musirin ◽  
Mahmud Fotuhi-Firuzabad ◽  
Abbas Rajabi-Ghahnavieh
Keyword(s):  
Evolutionary Programming ◽  
Available Transfer Capability ◽  
Interconnected System ◽  
Programming Technique ◽  
Numerical Studies ◽  
Transfer Capability ◽  
System Operator ◽  
Multiobjective Approach ◽  
Account System ◽  
Loss Of Load Expectation

This paper introduces a novel multiobjective approach for capacity benefit margin (CBM) assessment taking into account tie-line reliability of interconnected systems. CBM is the imperative information utilized as a reference by the load-serving entities (LSE) to estimate a certain margin of transfer capability so that a reliable access to generation through interconnected system could be attained. A new Pareto-based evolutionary programming (EP) technique is used to perform a simultaneous determination of CBM for all areas of the interconnected system. The selection of CBM at the Pareto optimal front is proposed to be performed by referring to a heuristic ranking index that takes into account system loss of load expectation (LOLE) in various conditions. Eventually, the power transfer based available transfer capability (ATC) is determined by considering the firm and nonfirm transfers of CBM. A comprehensive set of numerical studies are conducted on the modified IEEE-RTS79 and the performance of the proposed method is numerically investigated in detail. The main advantage of the proposed technique is in terms of flexibility offered to an independent system operator in selecting an appropriate solution of CBM simultaneously for all areas.

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