Capacity configuration optimisation for stand-alone micro-grid based on an improved binary bat algorithm

Capacity configuration optimisation (CCO) for stand-alone micro-grid has become an urgent issue that needs to be addressed effectively, which is of great significance for saving operational costs, raising renewable energy source utilisation ratio and improving reliability of power supply in island....

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Bibliographic Details
Published in:Journal of engineering (Stevenage, England) Vol. 2017; no. 13; pp. 2083 - 2087
Main Authors: Sheng, Siqing, Zhang, Jingjing
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 2017
Subjects:
battery storage plants
capacity configuration optimisation
CCO model
conflictive objective functions
continuous optimisation algorithm
diesel‐electric generators
differential evolution
distributed power generation
evolutionary computation
hybrid power systems
IBBA
improved BBA
improved binary bat algorithm
integer programming
local optimal problem
multiobjective integer programming problem
nonlinear constraints
nonlinear programming
operational costs
photovoltaic power systems
power generation reliability
power supply reliability improvement
renewable energy source utilisation ratio
search problems
standalone microgrid
standalone wind‐PV‐diesel‐battery system
wind power plants
integer programming
nonlinear programming
diesel-electric generators
distributed power generation
operational costs
CCO model
improved BBA
standalone wind-PV-diesel-battery system
renewable energy source utilisation ratio
wind power plants
search problems
hybrid power systems
power generation reliability
local optimal problem
photovoltaic power systems
standalone microgrid
nonlinear constraints
improved binary bat algorithm
differential evolution
evolutionary computation
power supply reliability improvement
capacity configuration optimisation
multiobjective integer programming problem
continuous optimisation algorithm
battery storage plants
IBBA
conflictive objective functions
ISSN:2051-3305, 2051-3305
Online Access:Get full text
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Summary:Capacity configuration optimisation (CCO) for stand-alone micro-grid has become an urgent issue that needs to be addressed effectively, which is of great significance for saving operational costs, raising renewable energy source utilisation ratio and improving reliability of power supply in island. This study proposes a CCO model for stand-alone wind–PV–diesel–battery micro-grid based on an improved binary bat algorithm (BBA). CCO is formulated as a multi-objective integer programming problem with three conflictive objective functions (i.e. economic, reliability, and environmental criteria) and various non-linear constraints. Aiming at the local optimal problem caused by directly applying continuous optimisation algorithm into integer programming model, an improved BBA (IBBA) is proposed to solve this problem, which adopts mutation, crossover, and selection operations from differential evolution to improve the global searching ability of standard BBA. Finally, a simulation case is conducted to verify feasibility and effectiveness of the proposed method, in which IBBA is compared with genetic algorithm and particle swarm optimisation. The simulation results indicate that IBBA shows better performance in terms of both the solution quality and convergence speed.
ISSN:2051-3305
2051-3305
DOI:10.1049/joe.2017.0696