A robust contingency-constrained unit commitment with an <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si44.svg"><mml:mrow><mml:mi>N</mml:mi><mml:mo linebreak="badbreak">-</mml:mo><mml:mi>α</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:math> security criterion

Jeong, Jaehee

doi:10.1016/j.ijepes.2020.106148

Cited by 8 publications

(9 citation statements)

References 21 publications

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“…Therefore, the demand response program (DRP) was used in [13] to improve the flexibility of the transmission network following the SCUC problem model, and the robust optimization was employed to model the uncertainties in the electrical and gas systems. The robust modeling of the SCUC was presented in [14], where they obtained an optimal robust solution in the worst-case scenario for the uncertainties of the network's equipment availability. Authors in [15] modeled the reliability-constrained SCUC scheme using electric vehicles (EVs) in parking lots and the DRP, where the modeling of load and EV uncertainties were addressed by a stochastic modeling approach.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Authors in [15] modeled the reliability-constrained SCUC scheme using electric vehicles (EVs) in parking lots and the DRP, where the modeling of load and EV uncertainties were addressed by a stochastic modeling approach. References [9][10][11][12][13][14][15] used the DC-PF model in the SCUC scheme to achieve short computational times. In this model, due to the elimination of reactive power, voltage drop, and power loss variables, the computational error was expected to be significant.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Table 1 summarizes the literature review. Based on the reviewed literature, the identified main research gaps were: -Researchers [9][10][11][12][13][14][15], considered the DC-SCUC model to evaluate the operation and security objectives of the power system that posed three major problems: first, by eliminating reactive power and voltage, DC-SCUC model did not investigate the negative effects of increasing the voltage deviation caused by active load and increasing the reactive load on various network parameters, such as operation and security of the system. Second, DC-SCUC model was not able to replicate the operation and planning of FACTS devices, and these elements have the capability to improve the technical and economic indices of the power system.…”

Section: Research Gaps and Contributionsmentioning

confidence: 99%

“…In this paper, the EA-ARO method was used to obtain the optimal robust solution in the worst-case scenario. In many studies, such as [6,14,19], the ARO technique was used for this purpose. However, ARO and other robust optimization methods, such as the boundary uncertaintybased robust optimization (BURO) model [32], are applicable to linear optimization models.…”

Section: Proposed Ea-aro Model For Solving Ac-scuc Problemmentioning

confidence: 99%

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Evolutionary Algorithm-Based Adaptive Robust Optimization for AC Security Constrained Unit Commitment Considering Renewable Energy Sources and Shunt FACTS Devices

Baziar

Ghotbabadi

et al. 2021

IEEE Access

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An AC security constrained unit commitment (AC-SCUC) in the presence of the renewable energy sources (RESs) and parallel flexible AC transmission system (FACTS) devices is conventionally modeled as a deterministic optimization problem to minimize the operation cost of conventional generation units (CGUs) subject to AC optimal power flow (AC-OPF) equations, operation constraints of RESs, parallel FACTS devices, and CGUs. To cope with the uncertainties of load and RES generation, robust and stochastic optimization and linearized formulation have been used to achieve a sub-optimal solution. To achieve the optimal solution, this paper proposed an evolutionary algorithm-based adaptive robust optimization (EA-ARO) approach to solve the non-linear and non-convex optimization problem. A hybrid solver of grey wolf optimization (GWO) and teaching learning-based optimization (TLBO) obtained the robust and reliable optimal solution for the proposed AC-SCUC in the worst-case scenario. Finally, the proposed method was simulated on standard IEEE test systems to demonstrate its capabilities, and the results showed the proposed hybrid solver obtained robust optimal solutions with reduced computation time and standard deviation. Moreover, the numerical results proved the proposed strategy's capabilities of improving the economics of generation units, such as lower operational cost, and technical performance of the transmission networks, such as improved voltage profile and reduced energy losses.INDEX TERMS AC security constrained unit commitment, Evolutionary algorithm-based adaptive robust optimization, Renewable energy sources, Parallel FACTS devices.

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Section: B Literature Reviewmentioning

confidence: 99%

Section: B Literature Reviewmentioning

confidence: 99%

Section: Research Gaps and Contributionsmentioning

confidence: 99%

Section: Proposed Ea-aro Model For Solving Ac-scuc Problemmentioning

confidence: 99%

See 2 more Smart Citations

Evolutionary Algorithm-Based Adaptive Robust Optimization for AC Security Constrained Unit Commitment Considering Renewable Energy Sources and Shunt FACTS Devices

Baziar

Ghotbabadi

et al. 2021

IEEE Access

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“…wileyonlinelibrary.com/iet-gtd 1 Events-driven RCUC [3], [9], [13] [3], [4], [5], [6], [7], [8], [9], [10] [11], [12] [8], [12] [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [11], [13] Indexes-driven RCUC [14], [15], [16], [18], [19], [20], [16] - [17], [21] [16], [17] [14], [15], [16], [17], [18], [19], [20], [21], long term (8760 h) and presented a long-term RCUC. Reference [14] discussed the benefit of small-capacity flexible generators within intra-day scheduling process and built up a multistage RCUC.…”

Section: Introductionmentioning

confidence: 99%

Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources

Yuan

Zhang

Wang

et al. 2021

IET Generation Trans & Dist

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The high penetration of uncertain resources challenges the security of power system operation. By taking the impact of rescheduling under contingencies into consideration, reliability-constrained unit commitment (RCUC) is developed to address this challenge. Although several efforts have been made in modelling reliability constraints, the existing methods can only manage oversimplified low-order temporal-independent contingencies without considering wide-range contingencies or their state-transition-process issue. To quantify the impact of rescheduling on the normal-state scheduling process denoted by UC problem, this paper builds up a Bayesian inference method for encoding reliability constraints in wide-range temporal-dependent contingencies. Three predictors, for example, expected-generator-rescheduling-power, expected-energy-not-serviced and lostof-load-probability, are selected to describe the possible corrective behaviours in rescheduling process and quantified by using Bayesian inference method. Then, these predictors are reformatted as a set of linearized constraints to be incorporated into UC. The proposed RCUC comprehensively considers the effect of rescheduling in wide-range temporaldependent contingencies. Therefore, it can reveal the influence of generator rescheduling in wide-range contingencies and keep better reliability performance than those methods reported in previous RCUC studies. The modified IEEE 30-bus test system and IEEE 118-bus test system are used to show the proposed model's effectiveness.

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Network-constrained unit commitment with piecewise linear AC power flow constraints

Nanou

Psarros

Papathanassiou

2021

Electric Power Systems Research

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A robust contingency-constrained unit commitment with an N-αk security criterion

Cited by 8 publications

References 21 publications

Evolutionary Algorithm-Based Adaptive Robust Optimization for AC Security Constrained Unit Commitment Considering Renewable Energy Sources and Shunt FACTS Devices

Evolutionary Algorithm-Based Adaptive Robust Optimization for AC Security Constrained Unit Commitment Considering Renewable Energy Sources and Shunt FACTS Devices

Enhancement in reliability‐constrained unit commitment considering state‐transition‐process and uncertain resources

Network-constrained unit commitment with piecewise linear AC power flow constraints

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