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Elasticity Parameter Definition and Analysis for Real-Time Pricing Remuneration Basing on Different Users Cases

Publication . Corsi, Pierfrancesco; Faria, Pedro; Vale, Zita

In the last decade Demand Response (DR) programs have been influencing loads' profiles of electric users who participate in these programs. The evolution of the simulations able to study them brought to the possibility of defining new models that can consider power consumption profiles for different types of user (MAT, AT, MT, BTE, BTN-2, BTN-1) but, in order to better match consumption and production energy curves, highly precise predictions of loads' profiles are still needed. This goal can be achieved also thanks to the study of the price elasticity factor. A way to obtain it will be examined in this paper: price and power absorption variations will be considered because elasticity is defined as the ratio of their relative variations before and after DR. This work focuses on the profiles of price variations ΔP with respect to the absorbed power variation ΔQ: users indeed are expected to vary their consumptions according to different values of remunerations. Ranges of elasticities have been evaluated to study the behavior of ΔP profiles for the more representing users. Finally, economic consequences of load regressions have been analyzed.

2019-09Conference object

Open access

Rating the Participation of Electricity Consumers in Demand Response Events

Publication . Silva, Catia; Faria, Pedro; Vale, Zita

To successfully enable Demand Response in the energy market, the necessity for modification of the actual business models urges. The authors present innovation from previous works with a method designed to deal with the uncertainty from active consumers in Demand Response events. The proposal has three variations designed to improve the accuracy of the actual response of the consumers in the management of a local community - Basic Rate, Cost Rate and Clustering Rate Methods. The attribution of reliability rates, according to previous Demand Response events (for example, emergency events where a certain target is needed), will decide which consumers are selected for the optimal scheduling. With this, the manager entity possesses valuable information to increase profit, choosing trustworthy consumers. The methods are compared in a case study with 548 DG units and 20,310 small consumers. The results demonstrate the viability of the approach and prove that reliability rates approach is useful to deal with the uncertainty of actual response in DR events.

2020Conference object

Open access

Online estimation and use of price elasticity of demand for shifting loads through real-time pricing

Publication . Faria, Pedro; Corsi, Pierfrancesco; Vale, Zita

Demand Response programs have been assuming lot of importance in the simulations of electric users’ loads’ profiles. The evolution of these simulations helps defining new models able to predict power consumption trends for different user types. In order to better match consumption and production energy curves, highly precise forecasts of loads’ profiles are needed. This goal can be achieved also thanks to the study of the elasticity factor, that identifies the will of a user to have his consumptions reduced after a remuneration. In this paper, a way to obtain it has been presented, together with an interpolation able to predict it. Its definition is also supposed to help building scenarios that consider the impact of the long-term use of RTP remuneration (Real Time Price). Importance of having a real-time elasticity value able to adapt to specific situations is discussed, as for example user’s habits during the weekends or weekdays and weather forecasts.

2020Conference object

Open access