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324             Renewable Energy Devices and Systems with Simulations in MATLAB  and ANSYS ®
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                     TABLE 13.3
                     Characteristic Comparison between Batteries of Li-Ion Family
                     Chemistry, Lead-Acid, and Ultracapacitor
                     Energy Storage Type  Power Density  Energy Density  Safety  Cycle Life  Cost
                     LFP                  4            4         4       4       4
                     LTO                  4            4         4       4       2
                     NCA                  5            6         2       4       3
                     NMC                  4            6         3       3       4
                     LCO                  3            3         2       2       4
                     LMO                  4            5         3       2       4
                     Lead-acid            3            2         3       2       6
                     Ultracapacitor       6            1         3       6       2

                     Note:  The highest figure of merit, which is associated with best performance, is equal to six.



            13.2.4   Other Types of Batteries and Energy Storage Systems
            Some of the other common energy storage technologies include NiMH batteries, which can be
            recharged and have higher energy density and shorter life cycle compared to nickel–cadmium
            (NiCd) chemistries, but still suffer from strict maintenance requirements due to the memory effect.
            The high rate of self-discharging is the main disadvantage of NiMH batteries [9].
              Flow batteries, also known under the redox (reduction–oxidation) name, employ for storage
            chemical compounds, dissolved in the liquid electrolyte and separated by a membrane. Such batter-
            ies have been developed using zinc–bromide (ZnBr), sodium bromide (NaBr), vanadium bromide
            (VBr), or polysulfide bromide (PSB). A unique advantage of flow batteries is that their energy
            capacity is completely separated from their power, and therefore, the design can be scaled with more
            flexibility [10]. Redox batteries can be matched very well for the integration of renewable energy to
            the grid and for frequency regulation [11, 12]. A zinc–bromide (ZnBr) flow battery system, shown in
            Figure 13.3, is used in the Power Electronics Laboratory at the University of Wisconsin–Milwaukee
            (UWM) for demonstrating techniques of mitigating wind power fluctuations [12].
              Energy can also be stored using electromechanical systems employing high-speed high-inertia
            flywheels. The absorption and the release of electrical energy will result in an increase or decrease of
            the flywheel speed, respectively. A main advantage is represented by the rapid response time, recom-
            mending the technology especially for applications such as transportation, backup power, UPS, and
            power quality improvement [13].
              Other forms of energy storage suitable for large-scale grid applications employ pumped hydro
            and compressed air. In the first case, water is pumped uphill in a natural or man-made reservoir,
            for example, during off-peak hours, and released downhill to turn a turbine and produce electricity
            when needed, for example, during peak hours. In the second case, air is typically stored underground
            and then used as needed to generate electricity from a generator coupled to a turbine. High capi-
            tal investment and installation costs, coupled with geological availability, environmental concerns,
            and restrictions, represent challenges for these types of storage and may generate opportunities for
            developments for electrical batteries.

            13.2.5  BES Modeling and Test Setups

            In order to design, analyze, and optimize the ESSs, suitable battery models, which can address the
            main characteristics and the behavior for the application specifics, are a vital requirement. The bat-
            tery model should be able to satisfactorily predict the dynamics of the system with a reasonable low
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