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144                                 Modern Control of DC-Based Power Systems























          Figure 5.21 ISPS I L15L25L3 I&I for ideal CPL and 30.9 - 53.4 MW.



               5.4 DECENTRALIZED CONTROLS
               The previous two sections presented nonlinear schemes, which are
          based on a centralized architecture. In this section, an approach is intro-
          duced that is based on a decentralized control architecture and in addition
          is also linear.
             To enable a decentralized control approach the ISPS has to be
          decoupled. Logical decoupling points are every generation side interfac-
          ing converter as depicted in Fig. 5.22.In [31] and [32] the concept of the
          “virtual disturbance” for power system decoupling was introduced,
          according to which, under proper modeling and the usage of an aug-
          mented Kalman filter, it is possible to estimate simultaneously local states
          and interactions with other subsystems.
             It consists of two parts. The first part is a linear controller which is
          based on the principle of the Linear Quadratic Regulator (LQR) [33],
          which successfully stabilized a CPL in [34]. The second part is based on
          an observer—Kalman filter [33]. A Kalman filter is similar to Leunberger
          observer, except that the basic framework is stochastic rather than deter-
          ministic. The concept was proposed in [35] and [36]. Both together form
          the Linear Quadratic Gaussian (LQG) control.
             This control approach has found successful application on the stabili-
          zation of CPLs in [37,38]. The optimal control was chosen because it has
          the following properties which the other small-signal approaches do not
          have. On a small-signal basis the results obtained by linear optimal control
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