Page 176 - Decision Making Applications in Modern Power Systems
P. 176

140  Decision Making Applications in Modern Power Systems


                                     Active power PV 611 bus
                   50

                    0

                  –50

                 –100
                Power (kW)  –150




                 –200

                 –250

                 –300                                       Active power VV
                                                            Active power VW
                  –350
                     0         5         10        15        20        25
                                            Hours

            FIGURE 5.15 Active power injected by the PV of the 611-bus with and without Volt/Watt
            control. PV, Photovoltaic.

            in conjunction with the Volt/Var control. The total power of the storage units
            is 150 kW. Charging occurs in the period of greatest power generation by
            the PV, and the stored energy consumption occurs in the night period, where
            the demand of the load connected to the bus is higher. The result of the volt-
            age of bus 611 for the case in question is shown in Fig. 5.16.


            5.4.2  Case 2: Harmonic studies in OpenDSS considering
            renewable distributed generation and aggregate linear load models
            An increasing adoption of power electronic technologies—such as inverters
            for PV systems, variable-frequency drives, battery energy storage systems,
            and EVs—is expected to grow during the coming years, not only in quanti-
            ties but also in size of installations as well [27]. However, high penetrations
            of these technologies may decrease the power performance metrics and
            amplify technical problems in distribution networks [28]. For example, over-
            voltage and harmonic distortion are operational circumstances of power dis-
            tribution systems that are becoming more relevant in a progressive smarter
            grid scenario [29].
               Many utility systems are not prepared for the increasing penetration of
            DG, taking the distribution grids to a new level of complexity. Thus the use
   171   172   173   174   175   176   177   178   179   180   181