Towards a future SCADA

Vale, Zita; Morais, Hugo; Silva, M.; Ramos, Carlos

doi:10.1109/pes.2009.5275561

Cited by 37 publications

(21 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the operation cost, there is also considered the energy acquisition to external suppliers and the penalties with non-supplied demand 1 and with ''take-or-pay'' contracts. 2 The second objective tries to optimize the load factor (equal to 1), i.e., it tries to minimize the differences between the maximum and the average power demand in a distribution network considering 1 day as the time-horizon. The use maximum and average demand values in the objective function turns the function into a non-convex function, increasing the complexity to obtain the problem global optimum.…”

Section: Energy Resources Management Methodologymentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment

Morais

Sousa

Vale

et al. 2014

Energy Conversion and Management

124

View full text Add to dashboard Cite

a b s t r a c tSmart grids with an intensive penetration of distributed energy resources will play an important role in future power system scenarios. The intermittent nature of renewable energy sources brings new challenges, requiring an efficient management of those sources. Additional storage resources can be beneficially used to address this problem; the massive use of electric vehicles, particularly of vehicle-to-grid (usually referred as gridable vehicles or V2G), becomes a very relevant issue. This paper addresses the impact of Electric Vehicles (EVs) in system operation costs and in power demand curve for a distribution network with large penetration of Distributed Generation (DG) units. An efficient management methodology for EVs charging and discharging is proposed, considering a multi-objective optimization problem. The main goals of the proposed methodology are: to minimize the system operation costs and to minimize the difference between the minimum and maximum system demand (leveling the power demand curve). The proposed methodology perform the day-ahead scheduling of distributed energy resources in a distribution network with high penetration of DG and a large number of electric vehicles. It is used a 32-bus distribution network in the case study section considering different scenarios of EVs penetration to analyze their impact in the network and in the other energy resources management.

show abstract

Section: Energy Resources Management Methodologymentioning

confidence: 99%

“…The improvements made in recent years in the power systems allows the large scale integration of Distributed Generation (DG) units [1,2]. However, generation technologies based on renewable energy sources, as the case of wind and sun, introduce new constraints in the system management [3,4].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the electric vehicle impact in the power demand curve in a smart grid environment

Morais

Sousa

Vale

et al. 2014

Energy Conversion and Management

124

View full text Add to dashboard Cite

show abstract

“…In order to evolve to successful practical implementation of the smart grid paradigm, distribution networks require new protection, control and operation philosophy to cope with these challenges [9].…”

Section: Introductionmentioning

confidence: 99%

Distribution system operation supported by contextual energy resource management based on intelligent SCADA

et al. 2013

View full text Add to dashboard Cite

Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Super-visory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness).This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis.The paper includes a case study using a 114 bus distribution network and load demand based on real data.

show abstract

“…The main goal is to reduce the branches power flow and therefore the global power losses. With a correct control of active and reactive power it is possible to increase distributed energy resources penetration [3][4]. An aggregator player called Virtual Power Player (VPP) is proposed to manage distinct energy resources.…”

Section: Introductionmentioning

confidence: 99%