A hybrid energy management and battery size optimization for standalone microgrids: A case study for Flinders Island, Australia

El-Bidairi, Kutaiba S.; Nguyen, Hung D.; Jayasinghe, Shantha Gamini; Mahmoud, Thair S.; Penesis, Irene

doi:10.1016/j.enconman.2018.08.076

Cited by 121 publications

(59 citation statements)

References 59 publications

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“…Therefore, this is believed to be the optimal approach for increasing solution speed without sacrificing model flexibility. The new diesel generator formulation is shown in Equations (5) and (6). Let dg denote the electricity generation from the diesel generation, f denote the fuel consumption, dgs denote the threshold diesel generator capacity, and η dg denote the diesel generator operational efficiency:…”

Section: Diesel Generator Formulationmentioning

confidence: 99%

“…However, some case studies available in the literature aim to investigate the optimal microgrid network configuration for only a target area, without acknowledging the existing hardware and reusability of the current infrastructure beyond predefined boundaries. [4][5][6][7] In the present work, the authors undertake a novel approach in modeling case studies with sensitivity analysis by creating a mixed integer linear model (MILP) model to analyze multiple scenarios of varying degrees of operating conditions. This work presents a pathway for planning the future roadmap of an island that has its electricity currently supplied by undersea cables nearing end-of-life, while its network infrastructure upgrade is being planned to be stand alone and selfsustainable.…”

mentioning

confidence: 99%

“…While the nonlinear models present a higher modeling accuracy on component performances, the error from the low-resolution data counteracts the accuracy, limiting the outcome of the models to general level system feasibility studies. El-Bidairi et al 6 constructed a metaheuristic model to simulate a RES and energy storage connected microgrid to minimize levelized cost of electricity, when compared to a reference case. Kaldellis et al 17 modeled the impact on electricity generation cost from adopting different types of energy storage systems.…”

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confidence: 99%

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Optimal sizing and operating strategy of a stand‐alone generation–load–storage system: An island case study

Rajarathnam

Vassallo

2019

Energy Storage

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Component sizing optimization and technoeconomic feasibility studies for stand-alone power systems have been actively discussed in recent years. However, most models and studies overlook the importance of individual component performance, input data resolution and their integration with the system. This article compares the rapidly evolving battery storage technology applications using the context of a stand-alone system, through a case study on Bruny Island, Tasmania, Australia, where the current electricity infrastructure is approaching its end of life. We constructed a mixed-integer linear programming model to achieve optimal balance between modeling accuracy and computational complexity. The model was constructed to obtain the optimal component sizing on the basis of minimum lifetime net present cost. It was shown in our work that any transition of islands to become fully stand alone should be carefully considered, where a limited grid connection could still provide significant value to the infrastructure, greatly reduce its stress over peak hours. This concept was illustrated further with another set of model scenarios aiming to explore the performance of battery storage systems with different power output allowances, limited by the time-series data resolution, were developed. It was shown that the selection of incomplete input data cycle, reliance on standardized average values and utilization of low resolution timeseries data could heavily skew the results of a model, as the use of incomplete dataset and oversimplified average values subtly conceal some of the critical sizing and operation issues in a technoeconomic feasibility study, impacting the accuracy of the model to reflect the real problem. K E Y W O R D Scase study, energy storage, microgrid, MILP, optimization

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Section: Diesel Generator Formulationmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Optimal sizing and operating strategy of a stand‐alone generation–load–storage system: An island case study

Rajarathnam

Vassallo

2019

Energy Storage

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“…The reference [29], explains the gradual reduction of diesel consumption in a remote community of Indonesia using solar panels and batteries. Moreover, in [30] analyzes energy management and optimization of battery size for a micro-grid located on an island in Australia with novel results.…”

Section: Introductionmentioning

confidence: 99%

Optimization of an Off-Grid Hybrid System Using Lithium Ion Batteries

Cordero¹,

García²,

Jurado³

2020

ACTA POLYTECH HUNG

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Distributed generation represents an optimal solution for energy problems in remote sites, where access to energy distribution companies is difficult. This article therefore presents the modeling and optimization of an electric power system based on hybrid renewable energy (photovoltaic/hydrokinetic/diesel), combined with a Lithium Ion battery storage system. The analysis is performed using two methods. The first is a computational model based on mathematical equations using the Simulink Design Optimization (SDO) tool in Matlab. The second is a simulation of the hybrid system using the HOMER Software. The results show that the highest annual energy contribution corresponds to the hydrokinetic generation system (78.87%), the photovoltaic generation with a percentage of 19.59% and the penetration of the diesel generator is the lowest with 1.53%. In addition, the Nelder-Mead algorithm (SDO) shows a lower number of diesel generator starts, increasing the capacity of the batteries.

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“…A multi-layer ant colony algorithm is adopted to address the problem. In [7], a novel expert fuzzy system-a grey wolf optimization based intelligent meta-heuristic method for battery sizing and energy management-is proposed. In [8], a fuzzy multi-objective optimization model with corresponding constraints to minimize the economic cost and network loss of microgrid is presented.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System

2018

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This paper investigates the stochastic optimal operation of microgrid considering the influence of energy storage system (ESS). The uncertain factors related to renewable energies are also fully considered. Monte Carlo simulation (MCS) and scenario reduction technique are used to capture the randomness of renewable energy output. The objective is to minimize the operation cost and pollutant treatment cost of the microgrid system. Then, the multi-objective optimization problem is transformed to a single-objective problem by a line weighted sum method. A nonlinear programming tool—General Algebraic Modeling System (GAMS)—is adopted to solve the single-objective problem. Simulation results indicate that the total cost of the microgrid system can be reduced effectively when considering the effect of ESS and verify the correctness of the proposed strategy.

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A hybrid energy management and battery size optimization for standalone microgrids: A case study for Flinders Island, Australia

Cited by 121 publications

References 59 publications

Optimal sizing and operating strategy of a stand‐alone generation–load–storage system: An island case study

Optimal sizing and operating strategy of a stand‐alone generation–load–storage system: An island case study

Optimization of an Off-Grid Hybrid System Using Lithium Ion Batteries

Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System

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