Security constrained DC OPF considering generator responses

Ma, Minyue; Fan, Lingling

doi:10.1016/j.epsr.2020.106920

Cited by 3 publications

(5 citation statements)

References 19 publications

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“…The control input 𝑃 and 𝐸 is corresponding input to governor set value and AVR reference value. The whole problem to find the solution by (18) has inequality of 𝑃 ≤ 1 and equality of 𝐸 = 1. Therefore, that control input is suitable not only during the transient period but also after the steady-state is achieved.…”

Section: Discussion On Resultsmentioning

confidence: 99%

“…So if the time gap between rescheduling and contingency is varied there is no effect on the stability of the system. According to (18) the corresponding solution always guaranteed a stable performance. In this paper, the corresponding field excitation is always kept 1 after rescheduling, also there is no change in field excitation control and AVR performance, this is observed in Figures 24 to 27.…”

Section: Discussion On Resultsmentioning

confidence: 99%

“…To bring the manifold towards its equilibrium point which is a non zero value. Again according to krassovskii's theorem there is a condition that is given by (18) .…”

Section: ψ = 𝑓(𝜉 𝑃 𝐸 )mentioning

confidence: 99%

“…This power loss is prolonged and carried till the operation of the system It implies that the proposed rescheduling method is more efficient in energy saving. The economics of generation can also be fused into this ethology easily by incorporating the minimization objective function in (18). The generator rescheduling and load shedding for congestion mitigation based on the different cases of congestion mitigation and emergency stability can be performed by this proposed matrix by including the variable in 𝐺 term in (10) and (11).…”

Section: Conclusion and Future Scopementioning

confidence: 99%

“…In [17], the authors designed an intelligent system by radial function based on a neural network, and the proposed methodology is tested on the IEEE-50 bus system. In [18], bender decompositionbased optimization with security constraint function is employed and the proposed methodology is applied to the IEEE-114 bus system. The main objective of this paper is to develop a single integrated control scheme for control in a corrective state.…”

mentioning

confidence: 99%

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Automatic Rescheduling of Generator for Rotor Speed Regulation by KRASOVSKII’s Theorem

et al. 2022

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Emergency control of the power system is performed via generator rescheduling or load shedding depending upon the availability of generation and demand. This paper presents a generator rescheduling method based on Krasovskii's theorem for enhancing rotor speed regulation during multiple contingency conditions. The speed governor in automatic generation control (AGC) and automatic voltage regulator (AVR) are indispensable components of the control mechanism for deploying any control scheme. Contingencies may lead the security state of the power system towards a preventive, emergency, and restorative state. Generally, there is a violation of equality constraints of active and reactive power in the corrective security state. However, in this paper, the corrective security state considers a significant imbalance in active power with a generation capacity always greater than load. For rotor angle stability, active power delivery by the generator met the demands, whilst the turbine and automatic speed governor together balance it by changing the set point of the turbine inlet. This paper investigates the rotor stability by triggering a new set point by the rescheduling of the generator. The strategy proposed encompasses the broad domain of active power imbalance using Krasovskii's theorem, which is an extensive form of the Lyapunov stability theorem for the nonlinear multivariable autonomous system. The proposed control scheme is deployed on an IEEE-10 machine 39-bus system for validation and feasibility detection. It is found that the proposed scheme is more accurate than the conventional turbine automatic speed governor close loop system. Moreover, there is turbine power-saving up to 400 MW. In addition, the rotor attains steady-state speed quicker up to 5-10 sec and attains synchronous speed in all the cases considered, i.e., single load outage; multiple load outage; area outage; and load increment. The MATLAB ® and the CVX platform are used to validate the proposed concept.

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Section: Discussion On Resultsmentioning

confidence: 99%

Section: Discussion On Resultsmentioning

confidence: 99%

“…To bring the manifold towards its equilibrium point which is a non zero value. Again according to krassovskii's theorem there is a condition that is given by (18) .…”

Section: ψ = 𝑓(𝜉 𝑃 𝐸 )mentioning

confidence: 99%

Section: Conclusion and Future Scopementioning

confidence: 99%

mentioning

confidence: 99%

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Automatic Rescheduling of Generator for Rotor Speed Regulation by KRASOVSKII’s Theorem

et al. 2022

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Optimal electric vehicles charging scheduling for energy and reserve markets considering wind uncertainty and generator contingency

Gupta

Kalkhambkar

Sharma

et al. 2021

Intl J of Energy Research

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Decarburization of electrical systems encourage high wind power into electric power systems and the electrification of transport sectors through electric vehicles (EVs). The increasing penetration of uncertain wind power generation and transportation networks via EV charging stations has introduced challenges for system operators to manage power systems and market operations. In this context, this paper presents a stochastic AC security-constrained unit commitment (SCUC) model to clear day-ahead energy and reserve markets considering transportationelectricity networks through EV charging stations in the presence of uncertain wind power and generator contingency. Pre-contingency ranking is a common strategy for reducing the time of the SCUC problem, but it provides high-impact outages. To address this issue, generator outages ranked first are identified using the postcontingency generator response ranking approach. The main contribution of this

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Ineffective control actions in OPF problems: Identification, suppression and security aspects

Avramidis

Cheimonidis

Georgilakis

2022

Electric Power Systems Research

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Security constrained DC OPF considering generator responses

Cited by 3 publications

References 19 publications

Automatic Rescheduling of Generator for Rotor Speed Regulation by KRASOVSKII’s Theorem

Automatic Rescheduling of Generator for Rotor Speed Regulation by KRASOVSKII’s Theorem

Optimal electric vehicles charging scheduling for energy and reserve markets considering wind uncertainty and generator contingency

Ineffective control actions in OPF problems: Identification, suppression and security aspects

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