Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization

A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the o...

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Bibliographic Details
Published in:Journal of modern power systems and clean energy Vol. 6; no. 2; pp. 342 - 355
Main Authors: LI, Rui, WANG, Wei, CHEN, Zhe, WU, Xuezhi
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE
Subjects:
Active distribution system
Bi-level programming
Electrical Machines and Networks
Energy
Energy storage
Energy storage system
Energy Systems
Evolutionary algorithms
Fuzzy multiple objective
Fuzzy systems
Mixed integer
Multiple objective analysis
Optimal planning
Particle swarm optimization
Power Electronics
Renewable and Green Energy
Active distribution system
Optimal planning
Bi-level programming
Energy storage system
Fuzzy multiple objective
ISSN:2196-5625, 2196-5420
Online Access:Get full text
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Summary:A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the optimal allocation of ESS in the upper level. The power characteristic model of micro-grid (MG) and typical daily scenarios are established to take full consideration of time-variable nature of renewable energy generations (REGs) and load demand while easing the burden of computation. To solve the bi-level mixed integer problem, a multi-subgroup hierarchical chaos hybrid algorithm is introduced based on differential evolution (DE) and particle swarm optimization (PSO). The modified IEEE-33 bus benchmark distribution system is utilized to investigate the availability and effectiveness of the proposed model and the hybrid algorithm. Results indicate that the planning model gives an adequate consideration to the optimal operation and different roles of ESS, and has the advantages of objectiveness and reasonableness.
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ISSN:2196-5625
2196-5420
DOI:10.1007/s40565-017-0332-x