Quantifying the risk of a blackout using PSA/Eurostag platform software

Ciausiu, F. E.; Dumitru, Ioana; Eremia, Mircea

doi:10.1109/ptc.2009.5281894

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…3 shows the utility share of each HA (blue bars) for 10 families (reduced for the sake of clarity) and the demand before (red bars) and after demand coverage negotiation (green bars). In this case, at the beginning HAs (1)(2)(3)(4)(5) are power deficient while the rest (6-10) have power superfluity. In their attempt to cover their demand, HAs (1-5) start to contact their neighbours and start negotiating to secure their surplus power.…”

Section: A Basic Set Coverage Resultsmentioning

confidence: 99%

A cyclic blackout mitigation system

Al-Salim

Andonović

Michie

2014

2014 IEEE International Energy Conference (ENERGYCON)

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Severe and long-lasting power shortages plague many developing countries and result in blackouts, the occurrence and duration of which are escalating; thus an efficient mitigation solution is much sought after. In the paper a distributed agentbased power aggregation and demand appeasement system for managing domestic demand during chronic cyclic blackouts is presented. Air conditioning appliances are dynamically grouped into adaptive clusters powered through the aggregation of superfluous power available from scattered standby generators while basic set appliances are powered from the rationed utility supply. The proposed approach was preceded by a field survey and implemented on the DDSM-IDEA platform, a development environment specially designed for this purpose. Simulation shows that the proposed solution provides an acceptable Qualityof-Service (QoS) level at minimum cost penalty. The solution is proven to be flexible and effective.

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Section: A Basic Set Coverage Resultsmentioning

confidence: 99%

A cyclic blackout mitigation system

Al-Salim

Andonović

Michie

2014

2014 IEEE International Energy Conference (ENERGYCON)

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“…Time Domain Analysis -used in order to identify the steady-state stability limit (SSSL) of the analyzed constrained area [9], [10]. Mainly the computational procedure developed by the authors consists in applying a ramp stress on the analyzed area on the duration of which a series of incidents predefined by the user are applied.…”

Section: Means For Power Systems Stability Improvementmentioning

confidence: 99%

“…As a result of the load and generation profile, specific constrained areas may be identified as being characterized by power excess or power deficit [19]; Computation of the SSSL for the analyzed constrained areas in full configuration (N elements in operation) and incomplete configuration (N-1 elements in operation) in order to cover all the possible situations of incidents (tripping of an element) [9]; Finding out the most restrictive SSSL (SSSL ini ) for the analyzed area as the minimum between all computed SSSLs;…”

Section: Proposed Approach For Sitting a Svc Devicementioning

confidence: 99%

“…is the incremental change in bus active power; Combining (7) and (6) (9) and it represents the reduced Jacobian matrix of the V-Q variation modes. The variation modes V-Q may be now computed by using the right and left eigenvectors and the eigenvalues of this matrix.…”

Section: Modal Analysismentioning

confidence: 99%

“…Our simulations were performed on the Romanian Electrical Power System (EPS) model [9]. The used model was implemented in the SMART FLOW software tool and consisted in: 1097 nodes, 1321 lines, 232 transformers, 679 loads, 15 capacitor banks, and 227 generating units.…”

Section: Case Studiesmentioning

confidence: 99%

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Improvement of power systems security margins by using FACTS devices

Ciausiu¹,

Eremia

2011

2011 IEEE Trondheim PowerTech

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This paper is treating the problem of identifying stability reserves and finding out the best solutions to improve available security margins in order to be at a safe "distance" from a blackout in the analyzed power system. The issue consists in the computation of the stability limits for a power system either with or without using FACTS devices in order to highlight the gain in power system stability and control by using these devices.The key aspects of the well known approaches related to the steady-state stability limits (SSSL) computation is reviewed and an algorithm for SSSL identification, developed by the authors in order to be fitted for power systems planning and operation is also described. A methodology to choose between different locations for a FACTS device in order to increase the security margins of the analyzed power system is going to be proposed. The paper is focusing on the aspects of preventing blackouts by finding out a methodology to establish the need of FACTS devices in a power system. The technical aspects treated here consist in assessing the stability reserves for a power system or for a specific constrained area in a power system (with and without using the FACTS devices) beyond which a blackout might appear.Index Terms-security margins, voltage stability limit, steadystate stability, time domain analysis, stability limits, FACTS devices. PV P Q QV VQ J J J J JAC Florin Emilian Ciausiu is presently Phd student at University "Politehnica" of Bucharest, Power Engineering Faculty, Electric Power Systems Department. He has activated as engineer in Tractebel Engineering GDFSUEZ (Energy Division -Power Systems Studies Department) -Bucharest since 2003. His special fields of interest include power systems dynamics, software modeling of power systems, steady-state stability assessment, transient stability assessment, voltage stability, power-frequency control and short circuit computations. Mircea Eremia (M'98, SM'02) received the B.S. and Ph.D. degree in electrical engineering from the Polytechnic Institute of Bucharest in 1968 and 1977 respectively. He is currently Professor at the Electric Power Engineering Department from University "Politehnica" of Bucharest. His area of research includes transmission and distribution of electrical energy, power system stability and FACTS applications in power systems.

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