Risk based multi-objective security control and congestion management

Xiao, Fei

doi:10.31274/rtd-180813-17051

Cited by 5 publications

(8 citation statements)

References 96 publications

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“…Next, the performance of RM with several existing methods are compared. The risk-based OPF method (RB-OPF) [8] and a variant of ref. [16] are tested in this case.…”

Section: B Effectiveness Of Rmmentioning

confidence: 99%

Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search

Yao

Sun

Liu

et al. 2018

IEEE Trans. Power Syst.

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Abstract-Since cascading outages are major threats to power systems, it is important to reduce the risk of potential cascading outages. In this paper, a risk management method of cascading outages based on Markovian tree search is proposed. With the tree expansion on the cascading outage risk, risk gradient is computed efficiently by a forward-backward tree search scheme with good convergence, and it is then employed in an optimization model to minimize control cost while effectively reducing the cascading outage risk. To overcome the limitation with linearization in computing risk gradient, an iterative risk management (IRM) approach is further developed. Tests on the RTS-96 3-area system verify the accuracy of the computed risk gradient and its effectiveness for risk reduction. Time performance of the proposed IRM approach is tested on the RTS-96 system, a 410-bus US-Canada northeast system and a 1354-bus Mid-European system, and demonstrates its potentials for decision support on practical power systems online or on hourly basis.

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“…Next, the performance of RM with several existing methods are compared. The risk-based OPF method (RB-OPF) [8] and a variant of ref. [16] are tested in this case.…”

Section: B Effectiveness Of Rmmentioning

confidence: 99%

Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search

Yao

Sun

Liu

et al. 2018

IEEE Trans. Power Syst.

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“…After pre-contingency power flow is solved with DC power flow assumptions, the post-contingency circuit flows can be expressed as linear functions of node power injections using line outage distribution factors (LODFs) [5].…”

Section: Security-constrained Dc-opf Modelmentioning

confidence: 99%

“…The authors have addressed this weakness by proposing the risk-based direct-current (DC) optimal power flow (RBOPF) [2][3][4][5][6][7] which also optimizes an economic criterion but uses a quantitative risk metric to assess operating conditions. The fundamental difference between SCOPF and RBOPF is that whereas SCOPF imposes constraints on postcontingency flows, the RBOPF imposes a single constraint on risk.…”

Section: Introductionmentioning

confidence: 99%

“…The fundamental difference between SCOPF and RBOPF is that whereas SCOPF imposes constraints on postcontingency flows, the RBOPF imposes a single constraint on risk. The authors' previous work has illustrated benefits of using RBOPF for selected operating conditions [5][6][7]. In the present paper, the two security paradigms, SCOPF and RBOPF, are compared via a 1-year simulation to illustrate the long-term operational benefits that can be expected via RBOPF relative to the traditional SCOPF.…”

Section: Introductionmentioning

confidence: 99%

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Long-term benefits of online risk-based direct-current optimal power flow

Dai

Pham

Wang

et al. 2012

Proceedings of the Institution of Mechanical Engineers, Part O:

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An online operational risk management method is presented in this paper. In this method, a risk-based direct-current (DC) optimal power flow approach is utilized to replace a traditional security-constrained DC optimal power flow approach. This risk management method is integrated into a commercial energy management system/dispatcher training simulator system to monitor and control system operation risk online. Comparison of the approach with traditional security assessment shows significant benefits over the long term via cost reduction and risk mitigation. A case study provides supporting evidence of risk mitigation in terms of steady-state angular separation reduction and cascading prevention.

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“…Index k denotes system state, while k=0 represents the normal condition, and k>0 represents post-contingency conditions. Equation The benchmark RBOPF [78] problem can be formulated as follows:…”

Section: Formulations Of Scopf Rbopf and Rb-scopfmentioning

confidence: 99%

Risk-based security-constrained optimal power flow: Mathematical fundamentals, computational strategies, validation, and use within electricity markets

Wang

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Risk based multi-objective security control and congestion management

Cited by 5 publications

References 96 publications

Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search

Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search

Long-term benefits of online risk-based direct-current optimal power flow

Risk-based security-constrained optimal power flow: Mathematical fundamentals, computational strategies, validation, and use within electricity markets

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