Untitled

Funder

Organizational Unit

Publications

Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model

Publication . Foroozandeh, Zahra; Ramos, Sérgio Filipe Carvalho; Soares, João; Vale, Zita; Gomes, Antonio

Nowadays, the buildings have an important role in the high demand for electrical energy. Therefore, the energy management of the buildings may have significant influence on reducing the electricity consumption. Moreover, Electric Vehicles (EVs) have been considering as a power storage device in Smart Buildings (SBs) aiming to reduce the cost and consuming energy. Here, an energy management framework is proposed in which by considering the flexibility of the contracted power of each apartment, an optimal charging-discharging scheduled for EVs and Battery Energy Storage System (BESS) is defined over a long time period to minimize the electricity cost of the building. The proposed model is designed by a Mixed Binary Linear Programming formulation (MBLP) that the charging and discharging of EVs as well as BESS in each period is treated as binary decision variables. In order to validate the model, a case study involving three scenarios are considered. The obtained results indicate a 15% reduction in total electricity consumption cost and consumption energy by the grid over one year. Finally, the impact of capacity and charge/discharge rate of BESS on the power cost is analyzed and the optimal size of the BESS for assumed SB in the case study is also reported.

2020-09-08Journal article

Open access

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

Optimal Distribution Grid Operation Using Demand Response

Publication . Faia, Ricardo; Canizes, Bruno; Faria, Pedro; Vale, Zita; Terras, Jose M.; Cunha, Luis V.

This paper presents a model in which the distribution system operator can take advantage of the flexibility of end-users to overcome some operation issues on low voltage networks. Distributed generation based on renewable energy sources connected to these kinds of networks is challenging the conventional control and operation framework designed for passive distribution networks. Considering this, the proposed research work presents a non-linear problem using the flexibility available in the end-users to minimize the operation costs of the distribution system operator. For this goal, it is seeking the minimization of power losses and flexibility acquisition costs. The presented case study considers a realistic low voltage network with 256 bus and 96 connected end-users to show the approach effectiveness..

2020Conference object

Open access

Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility

Publication . Pinto, Tiago; Wooldridge, Michael; Vale, Zita

This paper explores the aggregation of electricity consumers flexibility. A novel coalitional game theory model for partition function games with non-transferable utility is proposed. This model is used to formalize a game in which electricity consumers find coalitions among themselves in order to trade their consumption flexibility in the electricity market. Utility functions are defined to enable measuring the players preferences. Two case studies are presented, including a simple illustrative case, which assesses and explains the model in detail; and a large-scale scenario based on real data, comprising more than 20,000 consumers. Results show that the proposed model is able to reach solutions that are more suitable for the consumers when compared to the solutions achieved by traditional aggregation techniques in power and energy systems, such as clustering-based methodologies. The solutions found by the proposed model consider the perspectives from all players involved in the game and thus are able to reflect the rational behaviour of the involved players, rather than imposing an aggregation solution that is only beneficial from the perspective of the aggregator.

2021-03Journal article

Open access