An algorithm for standing phase angle reduction for power system restoration

Hazarika, Dibya Jyoti; Sinha, A.K.

doi:10.1109/59.801875

Cited by 32 publications

(20 citation statements)

References 7 publications

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“…Constraint (11) puts a limit on the phase angle difference across line k. One of the issues to implement the TS action through network is the probability of high standing phase angle (SPA) difference through an open line. If TS action causes a loop closure, an extreme torque may be induced in the rotor of a generator which can lead to equipment failure and generator weakness [32]. Consequently, it is needed to limit lines SPAs before an effort is made to close line breakers.…”

Section: Flexibility Characterisation In Scucmentioning

confidence: 99%

IGDT‐based robust optimal utilisation of wind power generation using coordinated flexibility resources

Nikoobakht

Aghaei

2017

IET Renewable Power Generation

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This study investigates the application of a robust method to solve the problem of security constrained unit commitment (SCUC) with flexible resources for managing the uncertainty of significant wind power generation (WPG) to sustain the load-generation balance. The flexible resources include up/down ramping capability of thermal units, hourly demand response, energy storage system and transmission switching action through an integrated scheme. The application of mixedinteger linear programming to deal with the SCUC problem with flexibility resources has been discussed in this study using information-gap decision theory (IGDT) to realise a robust strategy for power system decision maker. Besides, this study proposes an effective solution strategy based on Benders' decomposition to solve the proposed problem. Numerical simulation results on the modified six-bus system and IEEE 118-bus system clearly demonstrate the benefits of applying flexibility resources for managing the WPG uncertainty and validate the applicability of the proposed IGDT-based SCUC model.

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Section: Flexibility Characterisation In Scucmentioning

confidence: 99%

IGDT‐based robust optimal utilisation of wind power generation using coordinated flexibility resources

Nikoobakht

Aghaei

2017

IET Renewable Power Generation

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“…SPA constraints have been proposed before to improve rotor stability. Most of the work on SPA constraints [8]- [10] focuses on methods and algorithms to minimize the standing phase angle for restoring one selected transmission line only. Ye and Liu [10] allow unserved load to be picked up during the restoration as a control strategy to minimize the SPA, which is natural in power restoration [3].…”

Section: Prior Workmentioning

confidence: 99%

Power system restoration planning with standing phase angle and voltage difference constraints

Mak

Coffrin

Hentenryck

et al. 2014

2014 Power Systems Computation Conference

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This paper considers the restoration of a transmission system after a significant disruption such as a natural disaster. It considers the Restoration Order Problem (ROP) that jointly considers generator dispatch, load pickups, and restoration prioritization to minimize the size of the blackout while satisfying the network operational constraints. The paper examines transient effects in power restoration and generalizes the ROP formulation with standing phase angle and voltage difference constraints in order to minimize rotor swings. Case studies indicated that the novel ROP-SPASVD formulation reduces rotor swings of synchronous generators by over 50%, while having a negligible impact on the blackout size (i.e., ≤ 1.5% increase), which is still optimized holistically.

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“…A method utilizing DC load flow model while considering thermal limits of lines and voltage limits at load buses was presented in [4]. An algorithm presented in [5] was based on the decoupled power flow while considering generation limits in power plants. Another algorithm was proposed in [6] utilizing accurate load flow model that was subject to transmission line thermal and stability limits as well as generators' active and reactive power limits.…”

Section: Introductionmentioning

confidence: 99%

“…Constraint (4) specified the capacity limits for each transmission line. The frequency deviation was specified in (5). And the voltage magnitude limits for each bus were given in (6).…”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm method for Standing Phase Angle reduction in power system restoration

Yuan

Ling²,

Zhang

et al. 2010

IEEE PES General Meeting

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This paper presented a new approach to address the frequently encountered Standing Phase Angle (SPA) reduction problem during a power system restoration process. The proposed method was based on a modified Genetic Algorithm (GA). The problem of the SPA reduction was modeled as a mixed discrete-continuous optimization problem with various constraints. The objective function that needed to be minimized was the weighted sum of active power generation adjustments and load sheddings. Most inequality constraints were derived from the conditions under which the security of the power system operation was guaranteed. The acceptable limits of the SPA were also converted into additional constraints and integrated into the optimization problem. The modified GA was then used to solve the problem. In solving the problem, by incorporating the objective function and constraints, we applied a partial order relation defined by a better function to manage the constraints. Compared with a traditional penalty function method, this approach avoided the difficulties of setting coefficients for the penalty function. Simulations were carried out on the IEEE 118-bus system and the results proved the effectiveness of the proposed technique.Index Terms-genetic algorithm, mixed discrete-continuous optimization, power system restoration, and Standing Phase Angle. and the Ph.D. degree in computational analysis and modeling from Louisiana Tech University, Ruston, LA, in 1989, 1992, and 2002 He currently is Assistant Research Professor at Indiana University-Purdue University Indianapolis. His research interests include distributed generation, microgrid, pattern recognition, power system protections, mathematical models and computational techniques, and biometrics.

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An algorithm for standing phase angle reduction for power system restoration

Cited by 32 publications

References 7 publications

IGDT‐based robust optimal utilisation of wind power generation using coordinated flexibility resources

IGDT‐based robust optimal utilisation of wind power generation using coordinated flexibility resources

Power system restoration planning with standing phase angle and voltage difference constraints

A Genetic Algorithm method for Standing Phase Angle reduction in power system restoration

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