Conclusions

The high accuracy of PMU measurements makes fast estimation of the state and the dynamic response of a power system readily available. The motor content of loads can be identified as well as interarea dynamics. Nonlinear state estimators can tell us whether a section of the network has critical issues. Nonlinear control design based on Kinetic Energy can provide both first swing improvements as well as overall nonlinear damping control. Inverters are rising in importance in the power system dynamics and Chap. 6 shows how these can be incorporated into the overall control philosophy. The expected reduction of conventional generation raises concerns about system control with significant levels of inverters but with system state estimates available, fast command to customer loads and batteries can be a substantial impact on the control of critical faults in the power system. The learning of system properties such as travelling waves and inverter aggregate dynamics are one side effect of the availability of Phasormeasurements in the system. Much of the work presented here is in the context of transmission systems and wide area control. The area of most rapid development is in the area of distribution. Extrapolation of the tools in Chap. 9 will enable customer batteries and demand management to be deployed with benefit to the overall system. There are currently not large numbers of PMU ’s in distribution but the benefits can lie in enhancing Distribution State Estimation and characterizing the dynamics of distribution loads. This will enable the system benefits to be gained without compromise of distribution voltages or flow limits.

• Publication year

  2021

• Venue

  3D Printing in Medicine and Surgery

• Publication date

  2021-12-31

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/b978-0-08-102542-0.00015-4
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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