Decision support for smart grid planning and operation considering reliability and all available resources

Funder

Organizational Unit

Publications

Distribution Network Expansion Planning Considering the Flexibility Value for Distribution System Operator

Publication . Faia, R.; Canizes, Bruno; Faria, Pedro; Vale, Zita

The electric power system has undergone numerous changes over the years. The transformation of the end-users from passive actors to active actors brings implications for the electric power system. The distribution system operator will be able to guide its operations in the function of the active role of the end-users. In many situations, the distribution system operator is carried out to avoid congestion in the distribution networks, and when it happens the distribution system operator is obliged to compensate the affected end-users. This paper presents a model in which distribution system operator can take advantage of the flexibility of the end-users in order to minimize the costs of the investments in distribution network expansion. The investment cost with the presented methodology as show the results has a reduction of 5.77%.

2019Conference object

Open access

A Case Study for a Smart City Energy Management Resources

Publication . Canizes, Bruno; Pinto, Tiago; Soares, João; Vale, Zita; Chamoso, Pablo; Santos, Daniel

A physical smart city model environment is used to presents the demonstration of an energy resources management approach. The demand for smart cities has been created by several factors from the governments, society and industry. Thus, smart grids focus on the intelligent management of energy resources in order to maximize the usage of the energy from renewable sources in order to the final consumers feel the positive effects of less expensive (and pollutant) energy sources, namely in their energy bills. A large amount of work is being developed in the energy resources management domain, but an effective and realistic experimentation are still missing. This paper presents a realistic and physical experimentation of the energy resource management. This is done by using a physical smart city model, which includes several consumers, generation units, and electric vehicles.

2017-03Conference object

Open access