Combined heat and power (CHP) plants have received a resurgence of attention from power systemplanners and policy makers in an effort to fully realize the potential of the technology. CHP plants thatare thermal-primary, however, do not always maximize the benefits provided to the power system. Inthis study, we examine how power system planning metrics can be applied to CHP plants to betterunderstand the impact of steam-driven constraints. This application of these methods will allow CHPplant owners and grid operators to be better informed of the capacity value that these plants provide tothe power system and identify opportunities to increase CHP contribution to resource adequacy. Usingthe University of Michigan’s Central Power Plant as a case study, we found the effective load carryingcapability (ELCC) of the plant to be 56% of its rated capacity, with the steam constraints limiting thatvalue. We also showed that if steam demand could be increased during peak power system demand,then the capacity value of the plant would increase linearly. Currently, local steam demand is greatestduring winter months while regional daily electric peaks are greatest during summer months. Alleviationof this misalignment would be necessary to increase the ELCC of the plant.
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Determining Power System Capacity Value of Steam-Constrained Cogeneration