Page 102 - Mathematical Models and Algorithms for Power System Optimization
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92   Chapter 4

                    accepted movements and the number of rejected movements exceeds N max , the
                    temperature drops. At this point, the numbers of accepted and rejected movement are
                    reset to 0, and N max only affects the rate of temperature drop. For a normal situation,
                    the typical iteration counter in the power flow calculation is several to a few dozen. To
                    avoid affecting the calculation speed, N max is generally above the upper limit of the
                    iteration number. Therefore, N max ¼10–100 is recommended.



            4.5 Implementation of SA based N-R Method

            4.5.1 Initial Conditions of 197-Bus System

            The actual operation mode of a 1990 winter peak load in a Chinese provincial network has been
            selected in this section as a numerical example of an ill-conditioned power flow calculation. For
            this operation mode, the N-R algorithm, PQ decoupled algorithm, and optimal multiplier
            algorithm all failed to find a convergent solution. Therefore, it can be deemed as an ill-
            conditioned system. This system consists of 197 buses, 28 equivalent generating units, 87 loads,
            91 AC branches, and 136 transformer branches (including three-winding transformers). The
            static voltage characteristic coefficients of the load buses are shown in Table 4.2. To test the
            robustness of the proposed methods, the following ill-conditions were studied:

            •   R/X ratio ill-conditions
                The power system data were manipulated to generate a system of high R/X ratios. The ratio
                varied from 50 to 2000. The data were tested for single line as well as multiple lines. The high
                R/X ratio was simulated at different lines taken individually, as well as five or six lines at a
                time. The ratio was increased gradually when the test for multiple lines was performed, and
                the results from the proposed method proved much better than that from the N-R method.
            •   Heavy loading conditions
                In this case study, the loads at a group of buses were treated as voltage dependent loads. The
                data were once again manipulated to create a heavy loading condition. The heavy load was
                imposed on the system at various points considering a single bus system as well as a
                multiple bus system. A very high degree of load severity could be imposed on the system for
                all buses. Based on the static voltage characteristic coefficients, six different levels of load
                severity could be created. The results indicated that the proposed method surpassed the
                performance of the N-R method and gave a convergent solution. However, it was also
                noticed that the proposed method could not always guarantee a convergent solution.
            •   Long-to-short line reactances
                One of the other conditions that could create an ill-conditioned system is a high ratio of
                long-to-short line reactance terminating at the same bus. The situation was simulated by
                choosing buses where long-to-short lines terminate. Here, it was found that both N-R and
                SA performed well and, as mentioned earlier, the computational time was quite long for SA.
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