Incorporation of N-1 Security into Optimal Power Flow for FACTS Control

Glanzmann, Gabriela; Andersson, Göran

doi:10.1109/psce.2006.296401

Cited by 11 publications

(7 citation statements)

References 6 publications

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“…The current injection method described in this paper is an extension of a basic method presented in [3]. To simulate the outage with the state before the outage as the initial situation, two types of current injections are introduced: I S , only non-zero at the ends of the faulted line, compensates the current on the actually faulted line [3] and I T is used to adapt the bus currents such that the power flow equations are fulfilled [6,11]. Fig.…”

Section: Current Injection Methodsmentioning

confidence: 99%

“…To minimise the deviations from the exact values, the injection currents obtained by solving (27) can be adapted by applying an additional correction step [11]. The equation system taking into account also the quadratic terms is defined by…”

Section: Current Injection Methodsmentioning

confidence: 99%

“…The set of outages which are taken into account is denoted by O crit . These are the critical line outages, that is, outages for which overloading of certain other lines have to be expected [11]. A systematic way to determine the critical line outages is to carry out system studies for all possible line failures.…”

Section: Optimal Power Flow Controlmentioning

confidence: 99%

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N−1 security in optimal power flow control applied to limited areas

Hug-Glanzmann

Andersson

2009

IET Generation, Transmission &Amp; Distribution

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Blackouts in recent years have demonstrated that a reliable and secure power system is a key component of an efficient economy. Therefore control devices such as flexible AC transmission system devices (FACTS) are placed in the system and utilised to improve the security of the system. A method to determine appropriate settings for these devices is optimal power flow control. As the area of influence of a FACTS device is usually limited, it is sufficient to include only a reduced area in the optimisation problem. Here, such an optimal power flow problem is formulated where the considered area is defined using sensitivity analysis. To include N 2 1 security as an objective, a current injection method is applied, which facilitates the determination of the system state in the case of a line outage, without having to carry out a full-load flow simulation.

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Section: Current Injection Methodsmentioning

confidence: 99%

Section: Current Injection Methodsmentioning

confidence: 99%

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N−1 security in optimal power flow control applied to limited areas

Hug-Glanzmann

Andersson

2009

IET Generation, Transmission &Amp; Distribution

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“…The authors concluded that the proposed algorithm is very fast for mono-dimensional devices and is found to be time consuming for bi-dimensional FACTS devices. Glanzmann et al [56] (2006) developed a current injection method by which the power flow in any line during an outage can be calculated using linear equations. The current injection method was tossed by Bacher et al (1986) and Schnyder et al (1988), which has the advantage of not having to go through the cumbersome rebuilding of Power Flow iteration in case of any contingency and is implemented by the authors in this paper.…”

Section: Facts Incorporated Scopfmentioning

confidence: 99%

Security Constraint Optimal Power Flow (SCOPF) A Comprehensive Survey

Mithun¹,

Muthyala²,

Sydulu³

2010

IJCA

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This paper reviews the existing developments in Security Constrained Optimal Power Flow (SCOPF) from 1960"s to till date. Diverse schemes and approaches on Single Area/Multiarea, Algorithms, Contingency Selection, Steady and Dynamic SCOPF, Artificial Intelligence based SCOPF, Real time and SCOPF using Parallel/Distributed Processing, Economic Dispatch with Security Constraints, Decentralized SCOPF, Voltage Constrained SCOPF (VSCOPF), Incorporation of FACTS on SCOPF studies and Literatures on Applications of SCOPF etc., are appraised in a structured manner chronologically with detailed reviews on the strategies and the test systems used for the analysis are reported. A brief summary of the existing stratagems and test system data which can be retrieved are given in the conclusion for easy access of researchers.

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“…it is necessary to coordinate control actions among the regional operators by at the same time avoiding exposing local system data pertaining to regional infrastructure [5]. We consider loss minimization as the objective function and maintaining voltage profile within safe limits as the constraint.…”

mentioning

confidence: 99%

Multi-agent system based solution of the optimal reactive power dispatch problem in autonomously operated multi-area systems

Pham

Ahmed

Erlich

2015

2015 IEEE Eindhoven PowerTech

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Cooperation of regional operators in solving optimal reactive power dispatch (ORPD) problems in large systems is beneficial despite of many challenges. One major challenge is the fact that each regional operator is typically not willing to reveal the local system data. To deal with such challenge and to try to attain a dispatch resulting in overall optimum, this paper proposes a control scheme in which a large area is partitioned into multi-agent based system where each operator is considered as a control agent and uses a model of its local system and communication links with its neighboring control agents to come to agreement on the evolution of interconnections and to determine optimal local control actions and states. At each agent, a linearized objective function enforced with constraints has to be solved to determine control variables, which are transformer tap positions and reactive power injections. Calculation procedure at each agent based on sensitivity coefficients, thus impact of change magnitudes of control variables on control performance would be significant and hence is fully analyzed. The proposed algorithm is applied to the modified IEEE 30-bus system and numerical results are presented.Index Terms-Mean-variance mapping optimization, online adaptive control, reactive power management, wind power plant.

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Incorporation of N-1 Security into Optimal Power Flow for FACTS Control

Cited by 11 publications

References 6 publications

N−1 security in optimal power flow control applied to limited areas

N−1 security in optimal power flow control applied to limited areas

Security Constraint Optimal Power Flow (SCOPF) A Comprehensive Survey

Multi-agent system based solution of the optimal reactive power dispatch problem in autonomously operated multi-area systems

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