scholarly journals Two-stage Stochastic Scheduling of Transportable Energy Storage Systems for Resilient Distribution Systems

2018 ◽  
Author(s):  
Shuhan Yao ◽  
Tianyang Zhao ◽  
Huajun Zhang ◽  
Peng Wang ◽  
Lalit Goel
Keyword(s):  
Energy Storage ◽  
Distribution Systems ◽  
Storage Systems ◽  
Stochastic Scheduling ◽  
Energy Storage Systems ◽  
Two Stage

Reliability evaluation of distribution systems with mobile energy storage systems

2016 ◽  
Vol 10 (10) ◽  
pp. 1562-1569 ◽  
Author(s):  
Yingying Chen ◽  
Yu Zheng ◽  
Fengji Luo ◽  
Junhao Wen ◽  
Zhao Xu
Keyword(s):  
Energy Storage ◽  
Distribution Systems ◽  
Storage Systems ◽  
Reliability Evaluation ◽  
Energy Storage Systems

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.

scholarly journals Energy storage planning in distribution systems considering life-cycling-usage relationship

2021 ◽  
Author(s):  
Nastaran Hajia
Keyword(s):  
Energy Storage ◽  
Distribution System ◽  
Distribution Systems ◽  
Storage Systems ◽  
Peak Load ◽  
Energy Storage Systems ◽  
Expansion Planning ◽  
Depth Of Discharge ◽  
Asset Planning ◽  
Battery Energy

Asset expansion planning in Distribution System is important and should be expanded to consider utility scale energy storage systems such as batteries, flywheels, compressed air, thermal, etc. Battery Energy Storage Systems (BESS) are maturing for utility scale applications and are considered in this thesis for asset planning exercise. Unlike other electromechanical assets such as generators, transformers, motors, feeders, distribution lines, etc., usage parameters such as number of storage cycles and depth of discharge have a dramatic nonlinear effect on the life of Battery Energy Storage Systems. Hence, in the optimal asset planning formulation of electric power distribution systems considering BESS, it is imperative to include their relationship between life in years, number of storage cycles and extent of usage in terms of depth of discharge. A new optimal asset expansion planning formulation and algorithm for distribution systems is developed and presented in this thesis that considers (1) new sources of energy supply, and (2) BESS, while modeling nonlinear relationship life-cycling-usage of BESS. The formulation aims to minimize annualized cost of the optimal expansion plan while satisfying forecasted demand and other distribution system service requirements. The proposed method in this thesis is then used to develop optimal expansion plans for a 6-bus synthetic system and an IEEE 33-bus distribution network. The results show the effect of considering the life-cycling-usage relationship of BESS on optimal asset expansion plans. Further, using sensitivity analysis, the effect of ratio off-peak load to peak load on total asset costs are analyzed and reported.

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