A generalized passivity-based control approach for power compensation in distribution systems using electrical energy storage systems

2018 ◽  
Vol 16 ◽  
pp. 259-268 ◽  
Author(s):  
Oscar Danilo Montoya ◽  
Alejandro Garcés ◽  
Gerardo Espinosa-Pérez
Keyword(s):  
Energy Storage ◽  
Distribution Systems ◽  
Storage Systems ◽  
Electrical Energy ◽  
Energy Storage Systems ◽  
Electrical Energy Storage ◽  
Control Approach ◽  
Passivity Based Control

scholarly journals A New Hybrid Approach Using the Simultaneous Perturbation Stochastic Approximation Method for the Optimal Allocation of Electrical Energy Storage Systems

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1505 ◽  
Author(s):  
Guido Carpinelli ◽  
Fabio Mottola ◽  
Christian Noce ◽  
Angela Russo ◽  
Pietro Varilone
Keyword(s):  
Energy Storage ◽  
Stochastic Approximation ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Storage Systems ◽  
Electrical Energy ◽  
Energy Storage Systems ◽  
Distributed Resources ◽  
Simultaneous Perturbation Stochastic Approximation ◽  
Electrical Energy Storage

This paper deals with the optimal allocation (siting and sizing) of distributed electrical energy storage systems in unbalanced electrical distribution systems. This problem is formulated as a mixed, non-linear, constrained minimization problem, in which the objective function involves economic factors and constraints address the technical limitations of both network and distributed resources. The problem is cumbersome from the computational point of view due to the presence of both constraints of an intertemporal nature and a great number of state variables. In order to guarantee reasonable accuracy-although limiting the computational efforts-a new approach is proposed in this paper: it is based on a Simultaneous Perturbation Stochastic Approximation (SPSA) method and on an innovative inner algorithm, which allows it to quickly carry out the daily scheduling (charging/discharging) of the electrical energy storage systems. The proposed method is applied to a medium voltage (Institute of Electrical and Electronics Engineers) IEEE unbalanced test network, to demonstrate the effectiveness of the procedure in terms of computational effort while preserving the accuracy of the solution. The obtained results are also compared with the results of a Genetic Algorithm and of an exhaustive procedure.

Analogy Between Thermal, Mechanical, and Electrical Energy Storage Systems

2021 ◽  
Author(s):  
Karthik Panchabikesan ◽  
Mahmood Mastani Joybari ◽  
Fariborz Haghighat ◽  
Ursula Eicker ◽  
Velraj Ramalingam
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Electrical Energy ◽  
Energy Storage Systems ◽  
Electrical Energy Storage
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