Coordination of generation maintenance scheduling and long‐term SCUC with energy constraints and
            <i>N</i>
            − 1 contingencies

Wang, Yang; Zhong, Haiwang; Xia, Qing; Chen, Kang; Wang, Tieqiang; Cao, Xin

doi:10.1049/iet-gtd.2015.0183

Cited by 21 publications

(13 citation statements)

References 37 publications

(40 reference statements)

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“…In this paper, the IMSwTS problem is separated into two subproblems: IMS subproblem and TS subproblem. The first subproblem is IMS subproblem (23) to (27) in which all transmission switching variables are replaced with fixed preset parameters ( b Z lt ). IMS subproblem:…”

Section: Decomposition Approachmentioning

confidence: 99%

“…A modified Benders' decomposition in Changlin et al solved short‐term transmission maintenance scheduling (TMS). GMS considering long‐term SCUC problem is solved by Benders' decomposition and relaxation induced algorithms in . A similar approach is used to solve GMS in electricity markets in Wang et al A risk‐based approach for TMS is presented in Yong et al A bilevel TMS model, in which the upper level program aims at maximizing the transmission capacity margin whereas the lower level program mimics the market clearing for all time intervals in the TMS planning horizon, is proposed in Pandzic et al GMS and TMS affect on each other that in Ahmad et al consider both together.…”

Section: Introductionmentioning

confidence: 99%

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Integrated generation and transmission maintenance scheduling by considering transmission switching

Behnia

Akhbari

2018

Int Trans Electr Energ Syst

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Summary This paper models and investigates the incorporation of economic transmission switching (TS) into integrated generation and transmission maintenance scheduling (IMS) and the effect of transmission switching on integrated maintenance scheduling (IMSwTS). To ensure security of power system over maintenance horizon, N‐1 criteria is considered in the model. The N‐1 secure IMSwTS problem is formulated as a mixed‐integer linear programming model (MILP). The MILP model of this paper cannot be solved with commercial solver in a reasonable time; therefore, with the aim of solving high computational burden, the model is decomposed into TS subproblem and IMS subproblem, and each subproblem variables related to other subproblem is fixed. The proposed model and decomposition approach are implemented on IEEE modified 24‐bus reliability test system and solved by using the CPLEX solver under GAMS modeling environments. The results demonstrate that considering TS in IMS alters the maintenance schedule and brings cost saving.

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Section: Decomposition Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated generation and transmission maintenance scheduling by considering transmission switching

Behnia

Akhbari

2018

Int Trans Electr Energ Syst

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“…In this paper, the GTEMSTS problem is separated into 2 subproblems: GTEMS subproblem and TS subproblem. The first subproblem is GTEMS subproblem (27) to (31) in which all transmission switching variables are replaced with fixed preset parameters (Z lt ).…”

Section: Decomposition Approachmentioning

confidence: 99%

Generation and transmission equipment maintenance scheduling by transmission switching and phase shifting transformer

Behnia

Akhbari

2018

Int J Numerical Modelling

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This paper models and investigates the incorporation of economic transmission switching (TS) into generation and transmission equipment maintenance scheduling (GTEMS) with the presence of phase shifting transformers. Adding TS and phase shifting transformer to the traditionally static transmission system makes it more flexible. The N-1 secure GTEMS with TS problem is formulated as a mixed-integer linear programming model. This problem is hard to solve by off-the-shelf commercial optimization solvers because on the one hand maintenance scheduling variables couple several time intervals together and on the other hand TS variables link normal and contingency states. A solution approach is proposed in this paper to address the problem's high computational burden, which decomposes the problem into a GTEMS subproblem and an optimal TS subproblem and solves them iteratively. The proposed model and decomposition approach are implemented on IEEE 30-bus test system. The results demonstrate that considering TS in GTEMS alters the maintenance schedule and brings cost saving.

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“…Simulation results verified their advantage in the reduction of blackout chance. Reference [20] has established a closed-loop coordination mode for the unit maintenance scheduling, long-term unit commitment and ''N−1'' contingency examination. The security of power system operation can be promoted and frequent start-up and shutdown of generation units were avoided by this mode.…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Coordination of Maintenance Scheduling and Unit Commitment in Power Systems

et al. 2020

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The line random failure caused by multiple uncertainties has become a non-negligible factor which influences the safe operation of power systems. In this paper, a risk-based coordination model of maintenance scheduling and unit commitment is established and the objective is to minimize the total operation cost consisting of the maintenance cost, generation cost and risk cost. A random generation method is proposed to obtain line failure scenarios based on arbitrary failure rate functions. In the base case, security constraints must be satisfied while the potential overflow caused by line outages is calculated in contingency scenarios. In order to handle this mixed integer quadratic programming, a solving strategy based on three-layer iterations is applied. In the exterior iterative layer, Lagrangian relaxation technology is used to coordinate the maintenance scheduling and the risk-based unit commitment until the maintenance schedule is available for the optimized unit commitment plan. In other two iterative layers, Benders decomposition method is adopted to the further problem decomposition. In the middle layer, iterations between the unit commitment sub-problem and the risk-based dispatch sub-problem are used to guarantee the optimality of risk-based unit commitment. In interior iterations, the feasibility of unit commitment plan is checked by an optimal load shedding model. Case studies are performed on a 6-bus test system and a 118-bus test system. Results show that the total operation cost decreases by coordination while the system operating risk can be effectively controlled.

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Coordination of generation maintenance scheduling and long‐term SCUC with energy constraints and N − 1 contingencies

Cited by 21 publications

References 37 publications

Integrated generation and transmission maintenance scheduling by considering transmission switching

Integrated generation and transmission maintenance scheduling by considering transmission switching

Generation and transmission equipment maintenance scheduling by transmission switching and phase shifting transformer

Risk-Based Coordination of Maintenance Scheduling and Unit Commitment in Power Systems

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