Optimal sizing of an autonomous photovoltaic/wind/battery/diesel generator microgrid using grasshopper optimization algorithm

Bukar, Abba Lawan; Tan, Chee Wei; Lau, Kwan Yiew

doi:10.1016/j.solener.2019.06.050

Cited by 312 publications

(100 citation statements)

References 38 publications

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“…Energies 2020, 13, 1737 4 of 18 P out (t) = P in (t)•η Conv (8) where P in and P out are the input and output power from the inverter (kW), respectively; and η conv is the converter efficiency, which is assumed to be 90%.…”

Section: Power Convertermentioning

confidence: 99%

Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan

Yoshida

Farzaneh

2020

Energies

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This paper aims at the optimal designing of a stand-alone microgrid (PV/wind/battery/diesel) system, which can be utilized to meet the demand load requirements of a small residential area in Kasuga City, Fukuoka. The simulation part is developed to estimate the electrical power generated by each component, taking into account the variation of the weather parameters, such as wind, solar irradiation, and ambient temperature. The optimal system design is then based on the Particle Swarm Optimization (PSO) method to find the optimal configuration of the proposed system, using the least-cost perspective approach.

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Section: Power Convertermentioning

confidence: 99%

Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan

Yoshida

Farzaneh

2020

Energies

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“…EMS is one main criterion for HRES [25]. To coordinate various components' output power, a rule-based EMS is designed and its flow chart is shown as Figure 2.…”

Section: Rule-based Energy Management Strategymentioning

confidence: 99%

“…Case 4: the load will not be completely satisfied and the battery will be discharged. Firstly, whether the power output can reach to converter capacity with the BS's support is calculated according to Equation (25).…”

Section: Rule-based Energy Management Strategymentioning

confidence: 99%

“…In [23], an artificial bee colony algorithm was used for finding the optimal capacities of a PV-biomass HRES with the minimum levelized cost of electricity (LCOE), and the results proved it outperformed HOMER. The discrete bat search algorithm [24] and grasshopper optimization algorithm [25] were used for PV/WT/DS/BS HRES. Many researchers have considered multiple objective functions in capacity optimization, and have applied multi-objective intelligent optimization algorithms to obtain solutions.…”

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confidence: 99%

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Techno-Economic Optimization of an Off-Grid Solar/Wind/Battery Hybrid System with a Novel Multi-Objective Differential Evolution Algorithm

Yong

2020

Energies

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Techno-economic optimization of a standalone solar/wind/battery hybrid system located in Xining, China, is the focus of this paper, and reliable and economic indicators are simultaneously employed to address the problem. To obtain a more precise Pareto set, a novel multi-objective differential evolution algorithm is proposed, where differential evolution with a parameter-adaptive mechanism is applied in the decomposition framework. The algorithm effectiveness is verified by performance comparisons on the benchmark test problems with two reference algorithms: a non-dominated sorting genetic algorithm and a multi-objective evolution algorithm based on decomposition. The applicability of the proposed algorithm for the capacity-optimization problem is also validated by comparisons with the same reference algorithms above, where the true Pareto set of the problem is approximated by combining of the three algorithms through the non-dominant relationship. The results show the proposed algorithm has the lowest inverted generational distance indicator and provides 85% of the true Pareto set. Analyses of the Pareto frontier show that it can produce significant economic benefits by reducing reliability requirements appropriately when loss of power supply probability is less than 0.5%. Furthermore, sensitivity analyses of the initial capital of wind turbine, photovoltaic panel and battery system are performed, and the results show that photovoltaic panel’s initial capital has the greatest impact on levelized cost of electricity, while the initial capital of wind turbine has the least impact.

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“…In the past years, many studies have focused on the optimal design and sizing of microgrid system to minimize the life cycle cost while satisfying the power quality [8][9][10][11]. Some powerful optimal design software tools such as HO-MER [12] and HYBRID2 [13] are developed.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

Guo-ping

Wang

et al. 2020

Journal of Electrical and Computer Engineering

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Microgrid is an effective way to utilize renewable energy resources, especially for satisfying the electricity requirements in remote islands. The operation optimization of an island microgrid is critical to ensure the effective performance of the whole microgrid system, and it is usually a multiconstrained and multiobjective optimization problem. The main contribution of this study is an operation optimization method for the stand-alone microgrid system in a remote island, which includes wind, PV, battery, and diesel generator. In this paper, a novel operation optimization model for stand-alone microgrid is proposed, in which the battery system is considered separately; the multiobjective day-ahead optimization model considering economic cost, battery depreciation cost, and environmental protection cost is established. In the optimization, the output power of diesel generator and energy storage system are chosen as the decision variables. For this purpose, an efficient search algorithm combining the particle swarm optimization (PSO) algorithm and the simulated annealing (SA) algorithm is developed. The hybrid algorithm is applied to search for the Pareto solution set of the optimization problem. The search results are compared with those from traditional PSO algorithm. Also, a grey target decision-making theory based on the entropy weight method is proposed to identify the best trade-off scheduling scheme among all the solutions, and the results are compared with those from two other commonly used subjective and objective methods. The results show that the proposed optimization method can be applied to the day-ahead operation optimization of the microgrid system and help the user obtain the best compromise operation scheme for stand-alone microgrid.

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Optimal sizing of an autonomous photovoltaic/wind/battery/diesel generator microgrid using grasshopper optimization algorithm

Cited by 312 publications

References 38 publications

Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan

Optimal Design of a Stand-Alone Residential Hybrid Microgrid System for Enhancing Renewable Energy Deployment in Japan

Techno-Economic Optimization of an Off-Grid Solar/Wind/Battery Hybrid System with a Novel Multi-Objective Differential Evolution Algorithm

A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

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