Integration of 50 % wind power in a CHP-based ... - Ea Energianalyse

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Integration of 50 % wind power in a CHP-based ... - Ea Energianalyse

Model results 81found within). Unfortunately, as seen in the full-scaled model, these values were withinthe range of 6.5 % - 11 %, due to the complexity of the bypass constraints. Although theoptimal unit commitment-solution is to be found within a rather big solution area, it isassessed that the results below can be interpreted as reasonable approaches to the affectsof full-scale bypass on the electricity price formation.When observing the unit commitment solutions of the full-scale BPO model below, one ofthe most interesting things is that no bypass-operation has been “selected” within theestimated optimal solutions in the non-windy scenarios (right-side plots). However, thisis by far the case in the windy scenarios (left side plots) where bypass is “switched on”most of the time in January, April and November (January being the month with mostbypass hours and November the one with the least). The general tendency of the windyscenarios is that the heat price as well as the amount of electrical spill-over, is lowerwhen the BPO is on (see the massive lines) than under normal conditions (see the dottedlines). The electricity price however increases a bit, on an average basis – more specifically,the BPO does not necessary cause a higher level in the electricity price; instead, asseen in (1), it reduces the duration of electrical spill-over. This can also be seen in thekey figures in Table 6.6 further down.PERIOD: January, 1 st week – windy5040El./heat 30price[€/MWh]20100(1)PERIOD: January, 1 st week – not windy(Solution GAB: 7.9 %) Solution GAB: 9.6 %Grey bars = bypass on504030]20100No bypass at all400,00350,00300,00250,00200,00150,00100,0050,000,00BPOEl. price, BPOHeat price, BPOEl. price, refHeat price, ref18152229364350576471788592991061131201271341411481551621815222936435057647178859299106113120127134141148155162Time [h]Time [h]2) Heat production 50balances demand inBPO mode 40PERIOD: April, 1 st week – windySolution GAB: 10.7 %400350300PERIOD: April, 1 st week – not windySolution GAB: 6.5 %5040400350300BPOEl./heatprice[€/MWh]3020102502001501005030201025020015010050El. price, BPOHeat price, BPOEl. price, refHeat price, ref000018152229364350576471788592991061131201271341411481551621693) BPO caused overproductionmakes heat price drop to zerowhen el. prices is zeroTime [h]1815222936435057647178859299106113120127134141148155162169Time [h]PERIOD: November, 1 st week – windyPERIOD: November, 1 st week – not windySolution GAB: 7.5 %

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