Inducing-objective-function-based method for long-term SCUC with energy constraints

Bai, Yang; Zhong, Haiwang; Xia, Qing; Xin, Yaozhong; Chen, Kang

doi:10.1016/j.ijepes.2014.07.004

Cited by 15 publications

(9 citation statements)

References 24 publications

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“…Wang et al [37] presents a fast bounding technique to improve the traditional branch-and-cut algorithm. Based on the work in Wang et al [37], an inducing-objective-function-based method is proposed in Bai et al [38]. In addition, a study by Chen et al [39] based on the stochastic method was proposed, and Voorspools and D'haeseleer [40] generated operation plan patterns for each power generation system, designated priority for the patterns, and conducted probabilistic scenario analysis on them.…”

Section: Generation System Operation Planningmentioning

confidence: 99%

Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

Kim

2018

Sustainability

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The current study aims to establish an optimal Generation System Expansion Plan that can satisfy the increasing electricity demand while maintaining operational elements and the stability of the energy supply. The architecture is composed of plan-level and operation-level models, which are basically based on optimization. In the first step, we estimated future power demand data through time series analysis. In addition, power plant data were defined and verified data were collected. In the next step, the previous Generation System Expansion Plan methodology was used to deduce a feasible solution and construction costs that satisfy the reserve rate. In the third step, mixed integer programming (MIP)-based power generation system operation plan methodology was used to deduce numbers on the operation of power generation system. In addition, power plants with similar characteristics were grouped to reduce the calculation complexity of unit commitment. In the last step, a feasible solution for the duration of the plan (deduced in Stage II) and operations and maintenance cost information were combined to produce the optimal solution that minimizes the total cost. Experiments were conducted to demonstrate the proposed integrated generation system expansion planning architecture for establishing the optimal generation system expansion planning. This study has academic implications for the establishment of optimal power plant expansion plans to meet future increasing power demand while maintaining operational considerations and supply stability. The effectiveness of the proposed methodology is also illustrated through comparison and verification with the National Plan for Electricity Supply and Demand.

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Section: Generation System Operation Planningmentioning

confidence: 99%

Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

Kim

2018

Sustainability

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“…MIP solvers commonly use rounding and diving heuristics. In particular, adjusting the coefficient of the variables to be "rounded" in the objective function ("soft bounding") has been proven to be effective in solving MIP models [22] and has been applied to the SCUC problem [23], [24] and to optimal transmission switching [25]. It has been shown that the soft bounding methods significantly improve the computational efficiency, in some cases, the computational efficiency can be improved by more than an order of magnitude [23]- [25].…”

Section: B Relaxation Induced Algorithm For the Master Problem 1) Fomentioning

confidence: 99%

“…Thus, the real calculation error is defined as (24) Since is the feasible solution of , then , thus (25) While cannot usually be obtained in an acceptable time, the auxiliary calculation error is defined as (26) where is the objective function value of . Obviously, , thus…”

Section: B Relaxation Induced Algorithm For the Master Problem 1) Fomentioning

confidence: 99%

An Approach for Integrated Generation and Transmission Maintenance Scheduling Considering N-1 Contingencies

Wang¹,

Zhong²,

Xia³

et al. 2016

IEEE Trans. Power Syst.

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This paper presents an approach for integrated generation and transmission maintenance scheduling model (IMS) that takes into consideration N-1 contingencies. The objective is to maximize the maintenance preference of facility owners while satisfying N-1 security and other constraints. To achieve this goal, Benders decomposition is employed to decompose the problem into a master problem and several sub-problems. A Relaxation Induced (RI) algorithm is proposed to efficiently solve the large mixed integer programming (MIP) master problem. This algorithm is based on the solution of the linear relaxed problem. It is demonstrated that the proposed algorithm can efficiently reach a near-optimal solution that is usually satisfactory. If this near-optimal solution is not acceptable, it is used as the initial solution to fast start the solution of the original IMS problem. The performance of the proposed method is demonstrated using a modified version of the IEEE 30-bus system and a model of the power system of a Chinese province. Case studies show that the proposed algorithm can improve the computational efficiency by more than an order of magnitude.

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“…However, the method has feasibility drawbacks. Based on the work in [24], an inducing-objective-function-based method is proposed in [25].…”

Section: Research Articlementioning

confidence: 99%

“…It is such differentiation among the objective coefficient of integer decision variables that can reduce the computational burden of the branch-and-cut process, which may contribute to improving the computational speed [38]. The similar thought is defined as 'soft bounding' in [38] and it has been applied to solve the MIP problem [24,25,39]. The modified MIP problem Prob cp that incorporates constraints (22)-(24) is abbreviated as follows…”

Section: Decision Variables Associated With the Unit Commitment Statementioning

confidence: 99%

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

Wang

Zhong

Xia

et al. 2016

IET Generation, Transmission & Distribution

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Inducing-objective-function-based method for long-term SCUC with energy constraints

Cited by 15 publications

References 24 publications

Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

Integrated Model of Economic Generation System Expansion Plan for the Stable Operation of a Power Plant and the Response of Future Electricity Power Demand

An Approach for Integrated Generation and Transmission Maintenance Scheduling Considering N-1 Contingencies

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

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