A new approach to security-constrained generation scheduling of large-scale power systems with a piecewise linear ramping model

Lyu, Jae-Kun; Kim, M.K.; Yoon, Yong-Tae; Park, J.K.

doi:10.1016/j.ijepes.2011.09.013

Cited by 14 publications

(10 citation statements)

References 27 publications

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“…Until now, all proposed improvements employ the approach of splitting the entire scheduling period into small intervals (minutes) to obtain the exact ramp trajectory. For example, [6], [19] and [20] propose dynamic ramp rates for the piecewise and stepwise formulations respectively. They assign a binary variable to each ramp-rate segment that must be dispatched in each subperiod.…”

Section: B Dynamic Ramp Ratesmentioning

confidence: 99%

Dynamic ramping model including intraperiod ramp-rate changes in unit commitment

Correa-Posada¹,

Morales-España

Dueñas

et al. 2017

2017 IEEE Power &Amp; Energy Society General Meeting

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Section: B Dynamic Ramp Ratesmentioning

confidence: 99%

Dynamic ramping model including intraperiod ramp-rate changes in unit commitment

Correa-Posada¹,

Morales-España

Dueñas

et al. 2017

2017 IEEE Power &Amp; Energy Society General Meeting

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“…Use the MCS method to select correlated wind speeds v randomly from Weibull distribution y. Equation (10) denotes that if a wind speed for wind farm y 1 is obtained, wind speeds for the other wind farms y 2 ,…,y n are determined automatically using a Cholesky matrix that connotes their correlation. For chosen inputs of wind speeds, the deterministic approach can easily be applied for system analysis.…”

Section: Wind Speed Correlationmentioning

confidence: 99%

“…Using the MATLAB wblrnd() function, we produced uncorrelated random variables with the two Weibull parameters for each location, The correlated Weibull random variables y can be solved as shown in Eq. (10). (29) To confirm that the correlated wind speeds V generated by Weibull random variables y actually follow the Weibull distribution, we checked them by comparison with the normal distribution model.…”

Section: Correlated Wind Speedmentioning

confidence: 99%

“…Since security is the most crucial aspect of a system operator's planning and operation of a power system, security tools and practices are commonly used, such as security-constrained unit commitment (SC-UC) or security-constrained optimal power flow (SCOPF) [9][10][11][12]. Since the security problem becomes more critical due to larger uncertainties in wind energy-integrated power systems, the existing P-OPF has to be developed to involve security constraints, such as limits for the transmission line flow and bus voltage.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Wind Power Integration on Generation Dispatch in Power Systems

Lyu¹,

Heo²,

Kim³

et al. 2013

Journal of Electrical Engineering and Technology

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-The probabilistic nature of renewable energy, especially wind energy, increases the needs for new forms of planning and operating with electrical power. This paper presents a novel approach for determining the short-term generation schedule for optimal operations of wind energy-integrated power systems. The proposed probabilistic security-constrained optimal power flow (P-SCOPF) considers dispatch, network, and security constraints in pre-and post-contingency states. The method considers two sources of uncertainty: power demand and wind speed. The power demand is assumed to follow a normal distribution, while the correlated wind speed is modeled by the Weibull distribution. A Monte Carlo simulation is used to choose input variables of power demand and wind speed from their probability distribution functions. Then, P-SCOPF can be applied to the input variables. This approach was tested on a modified IEEE 30-bus system with two wind farms. The results show that the proposed approach provides information on power system economics, security, and environmental parameters to enable better decision-making by system operators.

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“…A lot of work in this area deals with utility of optimization techniques to solve problem such as mixed integer linear programming (MILP)-based method, semi-definite programmingbased method [2], Lagrangian relaxation method [8], Quadratic programming using branch and bound method [9], linear programming [10], dynamic programming [11], and BD method [12][13]). The optimization technique of BD based approach in this model is developed for optimal operation for solving SCUC problem obtainable, example in [14][15].…”

Section: Introductionmentioning

confidence: 99%

Security Constrained Unit Commitment in a Power System based on Benders Decomposition and Mixed Integer Non-linear Programming

Gupta¹,

Jain²,

Sharma³

et al. 2018

IJET

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In deregulated power markets, Independent System Operators (ISOs) maintains adequate reserve requirement in order to respond to generation and system security constraints. In order to estimate accurate reserve requirement and handling non-linearity and non-convexity of the problem, an efficient computational framework is required. In addition, ISO executes SCUC in order to reach the consistent operation. In this paper, a novel type of application which is Benders decomposition (BD) and Mixed integer non linear programming (MINLP) can be used to assess network security constraints by using AC optimal power flow (ACOPF) in a power system. It performs ACOPF in network security check evaluation with line outage contingency. The process of solving modified system would be close to optimal solution, the gap between the close to optimal and optimal solution is expected to determine whether a close to optimal solutionis accepetable for convenientpurpose. This approach drastically betters the fast computational requirement in practical power system .The numerical case studies are investigated in detail using an IEEE 118-bus system.

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A new approach to security-constrained generation scheduling of large-scale power systems with a piecewise linear ramping model

Cited by 14 publications

References 27 publications

Dynamic ramping model including intraperiod ramp-rate changes in unit commitment

Dynamic ramping model including intraperiod ramp-rate changes in unit commitment

Impacts of Wind Power Integration on Generation Dispatch in Power Systems

Security Constrained Unit Commitment in a Power System based on Benders Decomposition and Mixed Integer Non-linear Programming

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