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244  Decision Making Applications in Modern Power Systems


            should not be a deterministic problem with no randomness involved.
            However, it should be solved as a probabilistic problem, where uncertainty
            levels are considered. In this chapter the HC is introduced as a decision-
            making tool that provides a fair and transparent approach to decide when
            new DG integration requests should be rejected or accepted. A comprehen-
            sive overview is presented for the various decision-making techniques and
            its applications in HC studies. The application of decision-making techniques
            in HC assessment and enhancement is examined on a real electrical EDS.
            The achieved results revealed that the HC should not be evaluated from
            deterministic perspective only in which no randomness is involved. Instead,
            it should be viewed as a probabilistic problem, depending on the examined
            uncertainty levels. In addition, it can be noticed that the probabilistic HC
            levels are higher than the deterministic HC results. In other words, ignoring
            the uncertainty of electrical parameters results optimistically that cause a
            noticeable underestimation to the HC levels achieved from probabilistic
            assessments. In addition, it is found that higher HC levels can be obtained by
            the proper utilization of both active and reactive powers injected by the intel-
            ligent DG units, such as PV units controlled by smart inverters. Finally, fur-
            ther precautions should be taken by network operators to control the
            excessive reverse power flows and its associated problems resulting from
            high DG penetration levels.

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