Abstract
Nowadays, renewable energy sources in a micro-grid (MG) system have increased challenges in terms of the irregularly and fluctuation of the photovoltaic and wind turbine units. It is necessary to develop battery energy storage. The MG central controller is helping to develop it in the MG system for improving the time of availability. Thus, reducing the total energy expenses of MG and improving the renewable energy sources (battery energy storage) are considered together with the operation management of the MG system. This study proposes fitness-based modified game particle swarm optimisation (FMGPSO) algorithm to optimise the total costs of operation and pollutant emissions in the MG and multi-MG system. The optimal size of battery energy storage is also considered. A non-dominated sorting genetic algorithm-III, a multi-objective covariance matrix adaptation evolution strategy, and a speed-constrained multi-objective particle swarm optimisation are compared with the proposed FMGPSO to show the performance. The results of the simulation show that the FMGPSO outperforms both the comparison algorithms for the minimisation operation management problem of the MG and the multi-MG system.
Highlights
Micro-grid (MG) is an integration of electrical loads and distributed generation sources (DGs), including the energy storage options operating system
We investigate an optimisation operation management problem in an MG system by considering the total cost of DG, the maintenance and operation cost of fuel cell (FC), MT, PV, and wind turbine (WT), and the total battery energy storage (BES) cost per day and the pollutant emissions
Performance of the proposed fitness-based modified game particle swarm optimisation (FMGPSO), NSGA-III, MO-CMAES, and swarm optimisation (SMPSO) are evaluated by using a computer simulation in we describe the conclusion of this work in Recently, several researches studied about the suitable capacity or sizing of BES for optimising an operation management of MG
Summary
Micro-grid (MG) is an integration of electrical loads and distributed generation sources (DGs), including the energy storage options operating system (a single system provides both heat and power). The authors in [4] considered how to optimise the size/capacity of BES as well as the minimising total operation cost of the MG system. They proposed an improved bat algorithm to solve the problems. The impact of BES optimal sizing in the MG operation is not considered on many researches They studied only the operation costs minimisation problem. We consider an MG management problem as an optimisation problem including minimising the total cost of DG, minimising the maintenance and operation cost of fuel cell (FC), micro-turbine (MT), PV, and WT, and minimising the total BES cost per day as well as the pollutant emissions.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
