scholarly journals Static security based available transfer capability (ATC) computation for real-time power markets

2010 ◽  
Vol 7 (2) ◽  
pp. 269-289
Author(s):  
Chintham Venkaiah ◽  
Mallesham Dulla
Keyword(s):  
Real Time ◽  
Test System ◽  
Load Flow ◽  
Base Case ◽  
Available Transfer Capability ◽  
Back Propagation Algorithm ◽  
Inference System ◽  
Transfer Capability ◽  
Static Security ◽  
Intelligent Methods

In power system deregulation, the Independent System Operator (ISO) has the responsibility to control the power transactions and avoid overloading of the transmission lines beyond their thermal limits. To achieve this, the ISO has to update in real-time periodically Available Transfer Capability (ATC) index for enabling market participants to reserve the transmission service. In this paper Static Security based ATC has been computed for real-time applications using three artificial intelligent methods viz.: i) Back Propagation Algorithm (BPA); ii) Radial Basis Function (RBF) Neural network; and iii) Adaptive Neuro Fuzzy Inference System (ANFIS). These three different intelligent methods are tested on IEEE 24-bus Reliability Test System (RTS) and 75-bus practical System for the base case and critical line outage cases for different transactions. The results are compared with the conventional full AC Load Flow method for different transactions.

Available Transfer Capability Determination Using Power Transfer Distribution Factors

2004 ◽  
Vol 1 (2) ◽  
Author(s):  
Dr. Paramasivam Venkatesh ◽  
Ramachandran Gnanadass ◽  
Dr.Narayana Prasad Padhy
Keyword(s):  
Open Access ◽  
Load Flow ◽  
Transmission Network ◽  
Power Transfer ◽  
Available Transfer Capability ◽  
Market Participants ◽  
Fair Competition ◽  
Transfer Capability ◽  
Network Capability ◽  
Power Transfer Distribution Factors

Electric power industries throughout the world have been restructured to introduce competition among the market participants and bring several competitive opportunities. A fair competition needs open access and non-discriminatory operation of the transmission network. Open access to the transmission system places an emphasis on the intensive use of the interconnected network reliably, which requires knowledge of the network capability. Available Transfer Capability (ATC) is a measure of the remaining power transfer capability of the transmission network for further transactions. This paper describes the assessment of ATC using AC Power transfer distribution factors (ACPTDFs) in combined economic emission dispatch (CEED) environment. The ACPTDFs are derived using sensitivity based approach for the system intact case and utilized to check the line flow limits during ATC determination. The obtained ATC results are compared with Newton Raphson Load Flow method (NRLF) to justify its accuracy. Simultaneous bilateral and multilateral wheeling transactions have been carried out on IEEE 6, 30 and 118 bus systems for the assessment of ATC. The solutions obtained are quite encouraging and useful in the present restructuring environment.

Performance Evaluation of Deregulated Power System Static Security Assessment using RBF-NN Technique

2013 ◽  
Vol 64 (1) ◽  
Author(s):  
I. S. Saeh ◽  
M. W. Mustafa
Keyword(s):  
Performance Evaluation ◽  
Power System ◽  
Test System ◽  
Operating Conditions ◽  
Attribute Selection ◽  
Security Evaluation ◽  
Base Case ◽  
Security Assessment ◽  
Deregulated Power System ◽  
Static Security

This paper proposes RBF-NN for classification and performance evaluation of static security assessment in deregulated power system. This study suggests an attribute selection and classification algorithms for static security evaluation (SSE) and its impact is proposed. For the base case, pure pool dispatch (with no bilateral transactions) and bilateral transaction comparisons are discussed on IEEE57- bus system. In this paper, a comprehensive comparison of AI classifiers to examine whether the power system is secured under steady-state operating conditions is presented. The proposed classifier is implemented on a 30 and 57 IEEE test system. To assess the actual overall performance regarding studying techniques, this research proposes performance evaluation schemes vis CCR, TPR and TNR and implemented on various IEEE test systems. The simulation results have shown the powerfulness of the proposed method as compare to another proposed AI classifiers. 

scholarly journals A systematic approach to evaluating the influence of demand side management resources on the interarea capacity benefit margin

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Olatunji Obalowu Mohammed ◽  
Mohd Wazir Mustafa ◽  
Daw Saleh Sasi Mohammed ◽  
Sani Salisu ◽  
Nabila Ahmad Rufa’i
Keyword(s):  
Systematic Approach ◽  
Demand Side Management ◽  
Test System ◽  
Demand Side ◽  
Available Transfer Capability ◽  
Interconnected System ◽  
Transfer Capability ◽  
Supply Capacity ◽  
Efficient Power ◽  
Tie Line

Available transfer capability is an index to measure the security and economic viability of an interconnected system. However, to accurately determine this index, other associated parameters need to be accurately evaluated. One of these parameters is the capacity benefit margin (CBM). For efficient power generation reliability and sustainability, a certain amount of supply capacity is commonly reserved by utilities, which in most cases remain unused, to reduce the effect of generation outage. To minimize this unused reserve, utilities usually reserve a predetermined amount of tie-line capacity between interconnected areas to have access to external supply. This tie-line reserved for this purpose is termed as capacity benefit margin (CBM). In this paper a technique for computing CBM is used, the sensitivity of CBM support from other areas to the increase in load in one of the areas is investigated, and conclusively, demand side management is proposed to improve the quantification of CBM. The contribution of this work is the assessment of the CBMs support from other areas during a critical condition, using the flexibility of DSM technique. The modified 24-bus IEEE reliability test system is employed for the verification of the approach.

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).

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