Shale gas resources have the potential to sig-nificantly contribute to worldwide energy portfolio.A great number shale gas reserves have been identified in many countries.Connections of newly found gas reserves to the...Shale gas resources have the potential to sig-nificantly contribute to worldwide energy portfolio.A great number shale gas reserves have been identified in many countries.Connections of newly found gas reserves to the existing energy infrastructures are challenging,as many stakeholders and market uncertainties are involved.The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall sys-tem.We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks.In addition,the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach.Based on the simulation results,the novel expansion co-planning approach is a robust and flexible decision tool,which provides network planners with comprehensive informa-tion regarding trade-offs between cost and system reliability.展开更多
An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the rel...An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the reliability improvement and energy transaction saving,simultaneously.To evaluate the reliability of distribution system with MBESS and intermittent generation sources,a new framework is proposed,which is based on zone partition and identification of circuit minimal tie sets.Both analytic and simulation methods for reliability assessment are presented and compared in the framework.Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.展开更多
基金This work is partly supported by CSIRO Future Grid Flagship Grant Project 2 co-planning and optimization of gas and electricity networks.
文摘Shale gas resources have the potential to sig-nificantly contribute to worldwide energy portfolio.A great number shale gas reserves have been identified in many countries.Connections of newly found gas reserves to the existing energy infrastructures are challenging,as many stakeholders and market uncertainties are involved.The proposed co-planning approach is formulated as a mixed integer nonlinear programming problem so as to minimize investments and enhance the reliability of the overall sys-tem.We propose a reliability assessment approach that is applicable for the coupled gas and electricity networks.In addition,the IEEE 24-bus RTS and a test gas system are applied to validate the performance of our approach.Based on the simulation results,the novel expansion co-planning approach is a robust and flexible decision tool,which provides network planners with comprehensive informa-tion regarding trade-offs between cost and system reliability.
基金This work was supported by the National Natural Science Foundation of China(Young Scholar Program 71401017,General Program 51277016)State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(Grant No.LAPS14002)+1 种基金Fujian regional science and technology major projects,China(2013H41010151)Hong Kong RGC Theme Based Research Scheme Grant No.T23-407/13-N.
文摘An optimal sizing method is proposed in this paper for mobile battery energy storage system(MBESS)in the distribution system with renewables.The optimization is formulated as a bi-objective problem,considering the reliability improvement and energy transaction saving,simultaneously.To evaluate the reliability of distribution system with MBESS and intermittent generation sources,a new framework is proposed,which is based on zone partition and identification of circuit minimal tie sets.Both analytic and simulation methods for reliability assessment are presented and compared in the framework.Case studies on a modified IEEE benchmark system have verified the performance of the proposed approach.
