On the representation of demand-side management in power system models

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: Demand-side management (DSM) merits increased attention by power system modelers. Numerical models should incorporate DSM constraints in a complete and consistent way. Otherwise, flawed DSM patterns and distorted conclusions on the system benefits of demand-side management are inevitable. Building on a model formulation put forward by Göransson et al. (2014), it is first suggested to include an additional constraint that resolves the problem of undue DSM recovery. Afterwards, an alternative model is introduced that does not impose a specific temporal structure on load shifts and thus increases the realworld applicability of DSM modeling. The formulation presented here, which is both concise and linear, could readily be included in a wide range of numerical models. Terms of use: Documents in EconStor may

On Start-Up Costs of Thermal Power Plants in Markets with Increasing Shares of Fluctuating Renewables

“…Yet properly modeling load shifting would not only require detailed techno-economic input data on specific power consumers, but also involves intricate model formulations which may increase the computational burden (cp. Zerrahn and Schill 2015b).…”

A Greenfield Model to Evaluate Long-Run Power Storage Requirements for High Shares of Renewables

“…Equation 9g specifies a recovery period ρ ls for each DSM load shifting installation, and 9h, 9i restrict maximum investments. For a more in-depth treatment of the implemented DSM representation, see Zerrahn and Schill (2014).…”

“…Next, the analysis not only focuses on the wholesale market, but also considers balancing reserves, the requirements of which are endogenously determined, depending on the deployment of fluctuating renewables. We further include a novel representation of DSM, building on a formulation presented by Zerrahn and Schill (2014), which is applied in a largescale model for the first time. Aside from DSM and different power storage technologies, which can be freely optimized with respect to their energy to power (E/P) ratio 2 , the model comprises further flexibility options such as flexible thermal plants, dispatchable biomass generators, and oversizing as well as curtailment of fluctuating renewables.…”

When Low Market Values are No Bad News: On the Coordination of Renewable Support and Real-Time Pricing

“…A first issue is that demand response not only includes reducing and increasing demand within an hour, but also shifting demand over hours. In engineering-oriented dispatch models with price-inelastic demand, such shifts can in principle be modeled by using appropriate constraints (see Zerrahn & Schill 2015b). Yet in economic models with price-elastic demand, a proper representation of load shifts is more challenging (see De Jonghe et al 2014).…”