The sustainable energies take increasing proportion in the power systems due to the "net-zero emission"goal, and the future trend is to make the new type power systems operate safely and stably while maintai...
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The sustainable energies take increasing proportion in the power systems due to the "net-zero emission"goal, and the future trend is to make the new type power systems operate safely and stably while maintaining low carbon and economic efficiency. This paper proposes a novel smart generation system (SGS) architecture and a smart generation system consensus (SGSC) algorithm from the perspective of automatic generation control. The SGS is based on stratified sequencing method and multi-agent theory, which describes the dynamic and optimal generation dispatch of the units as a hierarchical decentralized multiple objectives programming problem. Further, the SGSC is proposed based on distributed Newton algorithm and leaderless consensus algorithm to solve the security performance degradation caused by decentralization. All the units are configured in parallel with the designed communication topology to achieve dispatch decentralization, thus ensuring lowcarbon, economical and safe operation of the new type power system. The effectiveness of the proposed algorithm is verified on a multi-layer, multi-zone smart generation system model with a high proportion of sustainable energies from macro and micro aspects. Different control methods are also used for performance comparison on the two-area load frequency control model with lower regulation costs and lower carbon emissions achievement.
This paper examines the problem of scheduling of inbound trucks to the inbound doors at a cross-docking facility. The authors optimize for two conflicting objectives: minimize the total service time for all the inboun...
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This paper examines the problem of scheduling of inbound trucks to the inbound doors at a cross-docking facility. The authors optimize for two conflicting objectives: minimize the total service time for all the inbound trucks and minimize the delayed completion of service for a subset of the inbound trucks, which are considered as preferential customers. The problem is formulated as a bi-objective and as a bi-level mixed integer problem. Due to the nature of the former and the complexity of the latter formulation, a genetic algorithm and a k-th best based algorithm are proposed as the solution approaches. Computational examples are used to discuss the advantages and drawbacks of each formulation.
In order to satisfy the quality of service (QoS) requirements of the applications on Internet, the Internet Engineering Task Force (IETF) has defined two network service architectures: IntServ/RSVP (integrated service...
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In order to satisfy the quality of service(QoS) requirements of the applications on Internet,the Internet Engineering Task Force(IETF) has defined two network service architectures:IntServ/RSVP(Integrated Service / Re...
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In order to satisfy the quality of service(QoS) requirements of the applications on Internet,the Internet Engineering Task Force(IETF) has defined two network service architectures:IntServ/RSVP(Integrated Service / Resource Reservation Protocol) and DiffServ(Differentiated Service).Both architectures need a QoS routing mechanism and algorithm to find out an adapted ***,MPLS Multi-Protocol Label Switching) can be used in these architectures to perform explicit *** on existing routing algorithms,we propose a new pre-computed QoS routing algorithm which we call CCPF(Classified minimum Cost Path First),which uses bandwidth as a basic metric and takes a weighted cost function as a path optimal *** compare our algorithm with existing ones using simulation,and found that it can get different routes among different bandwidth-ranges to support multiple service *** can improve network performance.
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