PARAMETER COORDINATION AND ROBUST OPTIMIZATION FOR MULTIDISCIPLINARY DESIGN

A new parameter coordination and robust optimization approach for multidisciplinary design is presented. Firstly, the constraints network model is established to support engineering change, coordination and optimization. In this model, interval boxes are adopted to describe the uncertainty of design parameters quantitatively to enhance the design robustness. Secondly, the parameter coordination method is presented to solve the constraints network model, monitor the potential conflicts due to engineering changes, and obtain the consistency solution space corresponding to the given product specifications. Finally, the robust parameter optimization model is established, and genetic arithmetic is used to obtain the robust optimization parameter. An example of bogie design is analyzed to show the scheme to be effective.

Application of BIM with IPD in Design for a Construction Project

Integrated Project Delivery(IPD)is a new delivery system that fosters integration of combining design and construction in a collaborative team environment.Building Information Modeling(BIM)is a smart technological tool that make significant advancements in coordinating the planning and construction processes.IPD process with BIM technology allows all building data to maintain in a communicating platform that make all participants share data.In reality,some technical and process obstacles exist,that are hampering full implementation of IPD with BIM in the project.The paper introduced the application of IPD with BIM on the design in a project.The results showed the impact of BIM implementation on IPD mode which can result in improved productivity,better coordination,reduced energy consumption,clash and rework of construction.

Coordinated Design and Application of Robust Damping Controllers for Shunt FACTS Devices to Enhance Small-signal Stability of Large-scale Power Systems

This paper presents a robust and coordinated supplementary damping controller design of multiple reactive FACTS controllers and their application in a large-scale power system.Reactive FACTS devices,such as static synchronous compensators(STATCOM)and static VAR compensators(SVC),are considered and assessed for their damping controller design.Control objectives,including regional pole placement and norm bounded mix sensitivities,are used to solve the bilinear matrix inequality(BMI)problems in each linearized model via a two-step method.Multiple damping controllers are sequentially designed to avoid coupling effect among the input signals and increase the reliability of the proposed design.A 5-area 16-machine 68-bus power system is used for the implementation of the damping controllers.Numerical linear analysis and real-time simulations in a test platform based on Real-time digital simulators(RTDS)are adopted to test the feasibility and robustness of the coordinated damping controllers.

Improving power system dynamic performance using attuned design of dual-input PSS and UPFC PSD controller

The objective of this work is the coordinated design of controllers that can enhance damping of power system swings. With presence of flexible AC transmission system （FACTS） device as unified power flow controller （UPFC）, three specific classes of the power system stabilizers （PSSs） have been investigated. The first one is a conventional power system stabilizer （CPSS）; the second one is a dual-input power system stabilizer （dual-input PSS）; and the third one is an accelerating power PSS model （PSS2B）. Dual-input PSS and PSS2B are introduced to maintain the robustness of control performance in a wide range of swing frequency. Uncoordinated PSS and UPFC damping controller may cause unwanted interactions; therefore, the simultaneous coordinated tuning of the controller parameters is needed. The problem of coordi- nated design is formulated as an optimization problem, and particle swarm optimization （PSO） algorithm is employed to search for optimal parameters of controllers. Finally, in a system having a UPFC, comparative analysis of the results obtained from application of the dual-input PSS, PSS2B, and CPSS is presented. The eigenvalue analysis and the time-domain simulation results show that the dual-input PSS ＆ UPFC and the PSS2B ＆ UPFC coordination provide a better performance than the conventional single-input PSS ＆ UPFC coordination. Also, the PSS2B ＆ UPFC coordination has the best performance.