Software tool for power transfer distribution factors (PTDF) computing within the power systems

Bărbulescu, Constantin; Kilyeni, Stefan; Vuc, Gheorghe; Lustrea, B.; Precup, Radu‐Emil; Preid, Stefan

doi:10.1109/eurcon.2009.5167681

Cited by 18 publications

(9 citation statements)

References 10 publications

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“…For the power system a traditional DC power flow model is considered with the computation of Shift Factors (SF L E B ) [18]. Then the power flow within a line l e at time t is computed by considering both positive and negative components F l e ,t e+ , F l e ,t e− as well as the power injection at each bus.…”

Section: ) Electrical Grid Modelmentioning

confidence: 99%

A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

Rigo‐Mariani

Zhang

Romagnoli

et al. 2020

IEEE Trans. Sustain. Energy

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Section: ) Electrical Grid Modelmentioning

confidence: 99%

A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

Rigo‐Mariani

Zhang

Romagnoli

et al. 2020

IEEE Trans. Sustain. Energy

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“…The basic idea of PTDF is to calculate the power transfer on certain circuit taking into account of a power injection bus and a power withdrawn bus. [18], [19]. It can also be referred as a seller bus and a buyer bus when used for electricity market trading [20].…”

Section: Ptdf Technology To Define Wic Trackermentioning

confidence: 99%

Smart demand technology to improve system stability during high wind situation

Redfern

2014

IEEE PES Innovative Smart Grid Technologies, Europe

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The development of communication technology makes flexible demand side management a possible solution to improve transmission system security. With the high penetration of wind energy, transmission system becomes more dynamic than ever before. Demand side management is a smart way of managing power system in the future pre and post events. This paper will introduce a smart demand side control technology to help with system stability during high wind scenario. It will explore the congestion caused by wind intermittency and prove how flexible demand can help with the high wind situation. An algorithm will be introduced on how to define wind corridor using PTDF method and how to choose graphical sensitive demand to improve system stability transmission congestions pre and post event. A dynamic model will be used to simulate transmission system behavior with high wind scenario and different demand management strategy and draw a conclusion how transmission system can use demand side management to enhance system stability. Index Terms--Smart Grid, Demand Side Management, PTDF, Transmission Security, Wind I.

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“…The PTDFs relating the loading in the line from bus i to bus j with respect to injected complex power Sk at bus k can be expressed as [22],…”

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confidence: 99%

Ranking of Bulk Transmission Assets for Maintenance Decisions

Bhandari

Vittal

Heydt

et al. 2019

2019 North American Power Symposium (NAPS)

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Reliable and secure operation of bulk power transmission system components is an important aspect of electric power engineering. Component failures in a transmission network can lead to serious consequences and impact system reliability. The operational health of the transmission assets plays a crucial role in determining the reliability of an electric grid. To achieve this goal, scheduled maintenance of bulk power system components is an important activity to secure the transmission system against unanticipated events. This thesis identifies critical transmission elements in a 500 kV transmission network utilizing a ranking strategy. The impact of the failure of transmission assets operated by a major utility company in the Southwest United States on its power system network is studied. A methodology is used to quantify the impact and subsequently rank transmission assets in decreasing order of their criticality. The analysis is carried out on the power system network using a node breaker model and steady state analysis. The light load case of spring 2019, peak load case of summer 2023 and two intermediate load cases have been considered for the ranking. The contingency simulations and power flow studies have been carried out using a commercial power flow study software package, Positive Sequence Load Flow (PSLF). The results obtained from PSLF are analyzed using Matlab to obtain the desired ranking. The ranked list of transmission assets will enable asset managers to identify the assets that have the most significant impact on the overall power system network performance. Therefore, investment and maintenance decisions can be made effectively. A conclusion along with a recommendation for future work is also provided in the thesis.

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Software tool for power transfer distribution factors (PTDF) computing within the power systems

Cited by 18 publications

References 10 publications

A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

Smart demand technology to improve system stability during high wind situation

Ranking of Bulk Transmission Assets for Maintenance Decisions

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