Optimal topology control with physical power flow constraints and N-1 contingency criterion

Poyrazoglu, Gokturk; Oh, HyungSeon

doi:10.1109/pesgm.2015.7286191

Cited by 10 publications

(17 citation statements)

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“…The different solution methodologies for TS with AC constraints have been studied in [13,14,31]. In this section, the solution methodology of the OST problem is elaborated.…”

Section: Solution Methodologymentioning

confidence: 99%

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Network transition security for transmission switching

Tian

Wang

et al. 2019

J. Mod. Power Syst. Clean Energy

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The smart grid with flexible topologies receives intensive attention recently. Transmission switching (TS) alters the power system topology during operation, and has been demonstrated for the advantage of economic and secure operation of power systems. TS includes a chain of sequential switching actions which bring disturbances to the system if the switching actions are not properly designed. Unfortunately, it is not considered or well-studied in existing works. In this paper, a new multi-period TS model that considers the transition security and a two-stage iterative method are proposed. In the TS model, we take into account the fact that only one line is permitted to switch up or down at a time and the security of each switching action is considered. The proposed iterative solution makes the TS model more tractable under AC framework. Case studies on a 6-bus system and the IEEE 57-bus test system have varified the effectiveness of the proposed model. Numerical results show that: À the consideration of transition security of TS is essential;`the transition path is directly related to secure and fast the transmission switching;´the proposed model and solution method give an effective way to determine the switching sequence and switching timing under transition security criteria.

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“…The different solution methodologies for TS with AC constraints have been studied in [13,14,31]. In this section, the solution methodology of the OST problem is elaborated.…”

Section: Solution Methodologymentioning

confidence: 99%

“…For simplicity, we do not present the formulations of TS in this paper. For more details on TS with AC security constraints, the interested reader may refer to [13,14,31].…”

Section: Decomposition Strategymentioning

confidence: 99%

Network transition security for transmission switching

Tian

Wang

et al. 2019

J. Mod. Power Syst. Clean Energy

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“…Some of these heuristics use the Bθ MILP formulation [11]. While parallel algorithms help to lower computational (wall) time, the reduction in computational effort is not enough for practical applications (e.g., an algorithm to optimize a single line switching with N-1 reliability takes over 30 seconds with 24 cores in a small, 300-bus system [19]). Alternative approaches using sensitivity analysis have been very successful in reducing computational times in SCOPF where dispatch is optimized for a single time period [16], [20], [21].…”

Section: Parameters and Variables For Contingency Topology τ B ℓτmentioning

confidence: 99%

“…For a sufficiently large M , constraints (19) force the flowcancelling transactions to be 0 for all closed lines, while allowing them to be unrestricted for all open lines.…”

Section: A Compact Topology Control Formulationmentioning

confidence: 99%

Security-Constrained Transmission Topology Control MILP Formulation Using Sensitivity Factors

Ruiz

Goldis

Rudkevich

et al. 2016

IEEE Trans. Power Syst.

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A transmission topology control (TC) framework for production cost reduction based on a shift factor (SF) representation of line flows is proposed. The framework can model topology changes endogenously while maintaining linearity in the overall Mixed Integer Linear Programming (MILP) formulation of the problem. In large power systems it is standard practice to optimize operations considering few but representative contingency constraints. Under these conditions and when tractably small switchable sets are analyzed, the shift factor framework has significant computational advantages compared to the standard Bθ alternative used so far in TC research. These claims are supported and elaborated by numerical results on full models of PJM with over 13,000 buses. We finally present analytical investigations on locational marginal price (LMP) computation in our shift factor TC framework and their relation to LMPs computed for problems without TC. Also, we discuss practical implementation choices such as sufficient conditions on lower bounds that allow selection of large numbers employed in the MILP formulation. NOMENCLATURE Scalars are indicated by lower case italic, vectors by lower case bold, matrices by upper case bold, and sets by upper case script characters, indexed appropriately. Upper limits are indicated by an over-bar, and lower limits by an under-bar. Optimal solutions of the problem without topology control are denoted by an asterisk. Sensitivities are indicated with Greek characters. Indices m, nBuses. k, ℓLines. i ℓ From bus of line ℓ. j ℓ To bus of line ℓ. τ Contingency topology. Sets and FunctionsL n+ Branches whose to node is n.

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“…Sensitivity analysis is conducted in other studies with various percentages of system load to validate the optimal switching solutions in different scenarios [29], [30]. A novel AC solution method for optimal topology control problem with N-1 reliability through which human interface is also incorporated is suggested in [31]. A probabilistic security analysis taking into account the socio-economic cost of disruptions and economic benefits of topology control solutions is suggested in [32] where two types of security aspects were studied integrated with the topology control program: cascading failures due to overloaded lines and steady-state voltage instability.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Decision Making for the Bulk Power System Optimal Topology Control

Dehghanian

Kezunovic

2016

IEEE Trans. Smart Grid

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Power system topology control through transmission line switching for economic gains and reliability benefits has been recently considered in day to day operations. This paper introduces a probabilistic formulation for a more efficient application of topology control strategies in real world scenarios with anticipated increase in the presence of highly variable renewable generation and uncertain loads. Such uncertainties are modeled via the Point Estimation Method (PEM) embedded into the DC optimal power flow (DCOPF)-based formulations for optimal switching solutions. Hourly and daily advantages of the proposed probabilistic framework, compared to the conventional operations and deterministic formulations, are discussed. As the anticipated economic gains would increase through sequential implementation of several switching actions, a new probabilistic decision making approach to identify the optimal number of switching actions at each hour is also proposed. This decision support tool uses the probabilistic reliability cost/value analytics in which not only the financial benefits, but also the costs of reliability risks are taken into account. The approach is tested through various scenarios on the modified IEEE 118-bus test system, with and without renewables integration, and the results revealed its applicability and efficiency.

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Optimal topology control with physical power flow constraints and N-1 contingency criterion

Cited by 10 publications

References 0 publications

Network transition security for transmission switching

Network transition security for transmission switching

Security-Constrained Transmission Topology Control MILP Formulation Using Sensitivity Factors

Probabilistic Decision Making for the Bulk Power System Optimal Topology Control

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