Statistical approach for transient stability constrained optimal power flow

Zerigui, Amel; Dessaint, L.-A.; Hannat, Ridha; King, Robert; Kamwa, Innocent

doi:10.1049/iet-gtd.2014.0689

Cited by 18 publications

(21 citation statements)

References 36 publications

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“…Afterward, these two groups are converted into a two-machine system; then, this two-machine system is reduced to an OMIB through Eqs. (1)- (7). Now, transient stability of the system can be analysed by ECA for the OMIB.…”

Section: Transient Stability Analysismentioning

confidence: 99%

“…Di erent methods can be used to enhance transient stability of the system. These methods include excitation system response improving methods [10][11][12][13][14][15][16][17][18][19][20], active power rescheduling [2][3][4][5][6][7][8], and FACTS devices installation [24][25][26]. Performances of the improving methods and active power rescheduling are compared in this paper.…”

Section: Fault Critical Clearing Timementioning

confidence: 99%

“…In that paper, the initial operation point was changed to satisfy transient stability constraint. In addition, some new methods based on modern heuristic methods were used to solve TSC-OPF [7]. In [7], authors proposed a method to estimate Critical Clearing Time (CCT) by the dual-kriging method.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, some new methods based on modern heuristic methods were used to solve TSC-OPF [7]. In [7], authors proposed a method to estimate Critical Clearing Time (CCT) by the dual-kriging method. Results of this estimation were included in a single transient stability constraint of the TSC-OPF.…”

Section: Introductionmentioning

confidence: 99%

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Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Khandani

Foroud

2017

Scientia Iranica

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Maintaining network stability and encouraging generation companies to get involved in stability-maintaining objective are major concerns of an Independent System Operator (ISO) in a deregulated power system. Excitation system of synchronous generators is e ective and well-known equipment, which has a signi cant e ect on network stability. Therefore, improving performance of this system can enhance network stability. However, utilizing the methods that improve the performance of excitation system imposes cost on generation companies. This paper proposes a motivation mechanism for enhancing transient stability that encourages generation companies to improve performance of excitation system. In this mechanism, besides excitation system response improving methods, a transient stability constrained optimal power ow is solved in order to ensure maintaining transient stability under di erent contingencies. A 4-bus test system, an IEEE 14-bus test system, and an IEEE 118-bus test system are used to illustrate the e ectiveness of the proposed mechanism. Implementation results show that the proposed mechanism not only provides required transient stability margin with minimum operation cost, but also does not restrict generators production capability.

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Section: Transient Stability Analysismentioning

confidence: 99%

Section: Fault Critical Clearing Timementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Khandani

Foroud

2017

Scientia Iranica

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“…Fuel cost is formulated as a following quadratic function of the output power of thermal units that provides an accurate result of fuel cost [36,37]:…”

Section: Power Supply-side Formulationmentioning

confidence: 99%

Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid

2016

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a b s t r a c tThis paper deals with an optimal battery energy storage capacity for the smart grid operation. Distributed renewable generator and conventional thermal generator are considered as the power generation sources for the smart grid. Usually, a battery energy storage system (BESS) is used to satisfy the transmission constraints but installation cost of battery energy storage is very high. Sometimes, it is not possible to install a large capacity of the BESS. On the other hand, the competition of the electricity market has been increased due to the deregulation and liberalization of the power market. Therefore, the power companies are required to reduce the generation cost in order to maximize the profit. In this paper, a thermal units commitment program considers the demand response system to satisfy the transmission constraints. The BESS capacity can be reduced by the demand response system. The electric vehicle (EV) and heat pump (HP) in the smart house are considered as the controllable loads of the demand side. The effectiveness of the proposed method is validated by extensive simulation results which ensure the reduction of BESS capacity and power generation cost, and satisfy the transmission constraints.

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Voltage Online Assessment and Decision-Making Based on POPF with HVDC Transmission Capability and RES Fluctuation Consideration

Zhang¹,

Chang²,

Geng³

et al. 2019

Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

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Statistical approach for transient stability constrained optimal power flow

Cited by 18 publications

References 36 publications

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Distributed generation integrated with thermal unit commitment considering demand response for energy storage optimization of smart grid

Voltage Online Assessment and Decision-Making Based on POPF with HVDC Transmission Capability and RES Fluctuation Consideration

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