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并行电力系统动态应变分析的动态负载平衡和调度
Power system simulations involving solution of thousands of stiff differential and algebraic equations (DAE) are extremely computationally intensive and yet crucial for grid security and reliability. Online simulation of minutes to hours for a large number of contingencies requires computational efficiency several orders of magnitude greater than what is todays state-of-the-art. We have developed an optimized simulator for single contingency analysis using efficient numerical algorithms implementation for solving DAE, and scaled it up for large-scale con-tingency analysis using MPI. A prototype parallel high speed extended term simu-lator (HSET) on in-house high performance computing (HPC) resources at Iowa State University (ISU) (namely Cystorm Supercomputer) is being developed. Since the simulation times across contingencies vary considerably, we have focused our efforts towards development of efficient scheduling algorithms through work stealing for maximal resource utilization and minimum overhead to perform faster than real time analysis. This chapter introduces a novel implementation of dynamic load balancing algorithm for dynamic contingency analysis. Results indicate potential for significant improvements over the state-of-the-art methods especially master-slave based load balancing typically used in power system community. Simulations of thousands of contingencies on a large real system were conducted and computational savings and scalability results are reported
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通过柔性交流输电系统对多个工作点电力系统稳定进行控制
Power systems may operate on several operating conditions including post-fault operating conditions where it is challenging to design a FACTS damping controller that can achieve satisfactory performance over several operating conditions. When the nonlinear power system model is linearized around these operating conditions, a set of linearized state equations can formulate the multi-model system. So in principle the control design for the system with several operating points is to design a common controller for the multi-model system. Basically the output
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伯克利传感器及致动中心分解:NSF有关MEMS的产学合作研究
The Berkeley Sensor & Actuator Center at the University of California Berkeley has, for more than twenty‐five years, had a major impact on the research foundations and consequent commercialization of MEMS and NEMS. This has been achieved through creative combinations of resources, incentives, and shared goals involving Academia, Industry, and Government. The strongly multidisciplinary and interdisciplinary operational model of BSAC (a National Science Foundation Industry/University Cooperative Research Center) is described.
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沙漠之鼠程序的太阳能光伏发电系统和配电示范
A stand alone, mobile photovoltaic power system along with a cable deployment system was designed and constructed to take part in the Desert Research And Technology Studies (RATS) lunar surface human interaction evaluation program at Cinder Lake, Arizona. The power system consisted of a photovoltaic array/battery system. It is capable of providing 1 kW of electrical power. The system outputs were 48 V DC, 110 V AC, and 220 V AC. A cable reel with 200 m of power cable was used to provide power from the trailer to a remote location. The cable reel was installed on a small trailer. The reel was powered to provide low to no tension deployment of the cable. The cable was connected to the 220 V AC output of the power system trailer. The power was then converted back to 110 V AC on the cable deployment trailer for use at the remote site. The Scout lunar rover demonstration vehicle was used to tow the cable trailer and deploy the power cable. This deployment was performed under a number of operational scenarios, manned operation, remote operation and tele-robotically. Once deployed, the cable was used to provide power, from the power system trailer, to run various operational tasks at the remote location.
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高性能计算的电力系统动态模拟
High-speed extended term (HSET) time domain simulation (TDS) is intended to provide very fast computational capability to predict extended-term dynamic system response to disturbances and identify corrective actions. The extended-term dynamic simulation of a power system is valuable because it provides ability for the rigorous evaluation and analysis of outages which may include cascading. It is important for secure power grid expansion, enhances power system security and reliability, both under normal and abnormal conditions. In this chapter the design of the envisioned future dynamic security assessment processing system (DSAPS) is presented where HSET-TDS forms the core module. The power system is mathematically represented by a system of differential and algebraic equations (DAEs). These DAEs arise out of the modeling of the dynamic components such as generators, exciters, governors, automatic generation control, load tap changers, induction motors, network modeling and so on. To provide very fast computational capability within the HSET-TDS, this chapter motivates the need for high performance computing (HPC) for power system dynamic simulations through detailed modeling of power system components and efficient numerical algorithms to solve the resulting DAEs. The developed HSET-TDS is first validated for accuracy against commercial power simulators (PSSE, DSA Tools, Power-World) and then it is compared for computational efficiency. The chapter investigates some of the promising direct sparse linear solver for fast extended term time domain simulation and makes recommendation for the modern power grid computations. The results provide very important insights with regards to the impact of the different numerical linear solver algorithms for enhancing the power system TDS.
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通过柔性交流输电系统进行稳态电力系统电压稳定分析与控制
Voltage stability analysis and control become increasingly important as the systems are being operated closer to their stability limits including voltage stability limits. This is due to the fact that there is lack of network investments and there are large amounts of power transactions across regions for economical reasons in electricity market environments. It has been recognized that a number of the system blackouts including the recent blackouts that happened in North America and Europe are related to voltage instabilities of the systems.
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压电式氮化铝兰姆波谐振器精频选择技术的实验研究
Aluminum nitride (AlN) Lamb wave resonators (LWRs) utilize piezoelectric transduction to ensure low motional resistance. The resonance frequency of a LWR is defined by interdigital transducer (IDT) pitch and is thus decoupled from the overall device dimensions. This fine frequency selection technique is enabled by adjusting the so-called AlN "overhang" dimension allowing control of relative frequency of Lamb wave resonators in an array to 0.1%. Experimental results suggest the center frequency of LWRs can be linearly adjusted by up to 5% with no significant effect on other resonator parameters includingQ,Rm,C0, andkt2. Closely and evenly spaced AlN Lamb wave resonators, without post-process trimming, demonstrate the potential to realize a pure mechanical, high performance, yet low power RF front-end system.
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分布式并行电力系统仿真
The information technology (IT) world has changed fundamentally and drastically from running software applications on a single computer with a single CPU to now running software as services in distributed and parallel computing environment. Power system operation has been also shifted from being solely based on off-line planning study to more and more real-time market-driven. Facing these challenges, we will discuss in this chapter how to design power system analysis and simulation software to take advantage of the new IT technologies and to meet the real-time application requirements, using the InterPSS project as a concrete example.
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通过柔性交流输电系统对电力系统稳定进行线性控制设计与仿真
Inter-area oscillations in power systems are triggered by, for example, disturbances such as variation in load demand or the action of voltage regulators due to a short circuit. The primary function of the damping controllers is to minimize the impact of these disturbances on the system within the limited dynamic rating of the actuator devices (excitation systems, FACTS-devices). In H_∞ control term, this is equivalent to designing a controller that minimizes the infinity norm of a chosen mix of closed-loop quantities.