Adaptive procedure for masking effect compensation in contingency selection algorithms

Schäfer, Karl Friedrich; Verstege, J.F.

doi:10.1109/59.54564

Cited by 30 publications

(19 citation statements)

References 11 publications

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“…Thus, the proposed method can be modified. Particularly, the planning objectives (8) and (9) can be extended to include more system loading scenarios and their estimated durations as shown in Equations (23) and (24). However, it should be pointed out that the problem will become large and difficult to solve accordingly.…”

Section: B Discussion 1) the Planning Objectivesmentioning

confidence: 99%

“…A list of line outages is selected using a contingency screening method based on the Performance Index (PI) which indicates the overloading in system [23]. To avoid "masking effect" [24], the selection is not stopped until no overload happens for two continuous outages. More details about PIbased contingency screening can be found in [23,24].…”

Section: Security Assessmentmentioning

confidence: 99%

“…To avoid "masking effect" [24], the selection is not stopped until no overload happens for two continuous outages. More details about PIbased contingency screening can be found in [23,24].2. Based on the contingency list, a single line is removed in each outage case and the power flow is calculated.…”

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confidence: 99%

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A Hybrid Planning Method for Transmission Networks in a Deregulated Environment

Zhang

Wong

2006

IEEE Trans. Power Syst.

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Abstract--The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system and relevant analyses and discussions have been presented.Index Terms--Electricity market, Transmission planning, Multi-objective optimization, goal programming I. NOMENCLATURE Z. Y. Dong, is with The School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, QLD 4072, Australia (e-mail: zdong@itee.uq.edu.au).K. P. Wong is with The Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (e-mail: eekpwong@polyu.edu.hk). penalty factor associated with load curtailment ; s node-branch incidence matrix; f vector of active-power flows through the lines; g vector of generated active power; T 2 and competitive electricity markets, but also in the retail supply sector of both transmission and distribution.Since the transmission network is of vital importance in connecting individual generators with the system and enabling necessary competitions in electricity supply, various deregulation approaches have been adopted in different countries. However, the reform in transmission network involves a number of complexities and many new issues have surfaced, such as transmission costing and pricing, payment allocation, power wheeling and congestion management, available power transfer capabilities, the natural monopoly status of transmission networks and transmission rights etc [1]. Among them, the transmission network expansion planning (TNEP) poses particularly a difficult question in the newly deregulated environment, which is the main focus of this paper.Traditionally, the system operator is solely responsible for system operation and planning. By setting their objectives separately, the operators used to run the systems to minimize costs or losses, and plan the expansion to minimize investments in a centralized manner, while fulfilling the obligation of energy supply with reliability requirements [3,4]. The transmission planning problem, though dynamic in nature, is often simplified by the planning engineer, to a static optimization model, minimizing the total investment of network expansion for a single future situation, subject to operation...

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Section: B Discussion 1) the Planning Objectivesmentioning

confidence: 99%

Section: Security Assessmentmentioning

confidence: 99%

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A Hybrid Planning Method for Transmission Networks in a Deregulated Environment

Zhang

Wong

2006

IEEE Trans. Power Syst.

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“…Contingency screening is based on the Performance Index (PI) [13]. To avoid "masking effect" [14], the selection is not stopped until no overload happens for two continuous outages [13,14]. N-1 check is conducted by removing single line according to the contingency list and computing the overload each time.…”

Section: Security Assessmentmentioning

confidence: 99%

Multi-Objective Transmission Planning

Zhang

Wong

et al. 2009

2009 Asia-Pacific Power and Energy Engineering Conference

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Abstract-This paper describes a transmission expansion planning method based on multi-objective optimization (MOOP). The method starts with constructing a candidate pool of feasible expansion plans, followed by selection of the best candidates through MOOP, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in the market environment. Subsequently, reliability assessment is performed to evaluate and reinforce the resultant expansion plan from MOOP. The proposed method has been tested with the IEEE 14-bus system and analyses and discussions have been presented.

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“…Distinction of actual critical outages from non-critical ones; 2. Prediction of the relative severity of critical outages [10].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy based contingency assessment using performance indices with masking effect

Krishnakumar

Soundarajan

Gnanadass

2012

2012 IEEE Students' Conference on Electrical, Electronics and Computer Science

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Nowadays the Stability of the power system has become very vulnerable due to frequent voltage instability. Contingency assessment has to be carried out to figure out the lines which are most vulnerable to instability. In this paper contingency assessment is done by a novel technique in which performance indices (PI) obtained from the variation of bus voltage magnitude and apparent power of the transmission line are taken into account with masking effect. The overall ranking of the severity of the contingencies is obtained through fuzzy logic. For this purpose we propose a three step technique: in first step the performance indices are obtained through power flow; in second step the masking effect is removed; fuzzy logic based overall ranking is obtained in the third step. The approach is illustrated on IEEE 14 bus system. This approach is suitable for different types of plots. By knowing the severity of the contingency the operator can sketch a control action in the real time before the system moves towards instability.

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Adaptive procedure for masking effect compensation in contingency selection algorithms

Cited by 30 publications

References 11 publications

A Hybrid Planning Method for Transmission Networks in a Deregulated Environment

A Hybrid Planning Method for Transmission Networks in a Deregulated Environment

Multi-Objective Transmission Planning

Fuzzy based contingency assessment using performance indices with masking effect

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