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Big-M based MILP method for SCUC considering allowable wind power output interval and its adjustable conservativeness

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Global Energy Interconnection 2021年第2期4卷 193-203页

作者： Liudong Zhang Qibing Zhang Haifeng Fan Haiwei Wu Chunlei Xu State Grid Jiangsu Electric Power Company LTD.Nanjing 210024P.R.China

In contrast to most existing works on robust unit commitment(UC),this study proposes a novel big-M-based mixed-integer linear programming(MILP)method to solve security-constrained UC problems considering the allowable wind power output interval and its adjustable conservativeness.The wind power accommodation capability is usually limited by spinning reserve requirements and transmission line capacity in power systems with large-scale wind power integration.Therefore,by employing the big-M method and adding auxiliary 0-1 binary variables to describe the allowable wind power output interval,a bilinear programming problem meeting the security constraints of system operation is presented.Furthermore,an adjustable confidence level was introduced into the proposed robust optimization model to decrease the level of conservatism of the robust solutions.This can establish a trade-off between economy and security.To develop an MILP problem that can be solved by commercial solvers such as CPLEX,the big-M method is utilized again to represent the bilinear formulation as a series of linear inequality constraints and approximately address the nonlinear formulation caused by the adjustable conservativeness.Simulation studies on a modified IEEE 26-generator reliability test system connected to wind farms were performed to confirm the effectiveness and advantages of the proposed method.

关键词： Big-M method security-constrained unit commitment Robust optimization Mixed-integer linear programming Allowable wind power output interval Adjustable conservativeness

security-constrained model for integrated power and natural-gas system

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Journal of Modern Power Systems and Clean Energy 2017年第3期5卷 326-336页

作者： Carlos M.CORREA-POSADA Pedro SáNCHEZ-MARTíN Sara LUMBRERAS XM Compania de Expertos en MercadosMedellı´nColombia Technological Research Institute(IIT) ICAI School of EngineeringComillas Pontifical UniversityMadridSpain

One of the main factors impacting the reliability of energy systems nowadays is the growing interdependence between electricity and gas networks due to the increase in the installation of gas-fired units. securityconstrained unit commitment(SCUC) models are used to economically schedule generating units without compromising the system reliability. This paper proposes a novel SCUC formulation that includes dynamic gas constraints,such as the line pack, and transmission contingencies in power and gas networks for studying the integrated system reliability. A Benders’ decomposition with linear programming techniques is developed to be able to study large systems. By including dynamic gas constraints into the SCUC, the proposed model accounts for the flexibility and reliability that power systems require from gas systems in the short term. Case studies of different size and complexity are employed to illustrate how the reliability of one system is affected by the reliability of the other. These experiments show how both systems operate in a secure way(by including contingencies) increases operating costs by approximately 9% and also show how these costs can vary by 24% depending on the line pack scheduling.

关键词： Benders’decomposition Natural gas Reliability security-constrained unit commitment

Role of optimal transmission switching in accommodating renewable energy in deep peak regulation-enabled power systems

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Global Energy Interconnection 2020年第6期3卷 577-584页

作者： Qi An Jianxiao Wang Gengyin Li Ming Zhou North China Electric Power University Changping DistrictBeijing 102206P.R.China

Due to the shortage of fossil energy and the pollution caused by combustion of fossil fuels,the proportion of renewable energy in power systems is gradually increasing across the world.Accordingly,the capacity of power systems to accommodate renewable energy must be improved.However,integration of a large amount of renewable energy into power grids may result in network congestion.Hence,in this study,optimal transmission switching(OTS)is considered as an important method of accommodating renewable energy.It is incorporated into the operation of a power grid along with deep peak regulation of thermal power units,forming an interactive mode of coordinated operation of source and network.A stochastic unit commitment model consider!ng deep peak regulation and OTS is established,and the role of OTS in promoting the accommodation of renewable energy is analyzed quantitatively.The results of case studies involving the IEEE 30-bus system demonstrate that OTS can enable utilization of the potential of deep peak regulation and facilitate the accommodation of renewable energy.

关键词： Deep peak regulation Renewable energy security-constrained unit commitment Transmission switching