A reliability-constrained cost-effective model for optimal sizing of an autonomous hybrid solar/wind/diesel/battery energy system by a modified discrete bat search algorithm

Shivaie, Mojtaba; Mokhayeri, Mohammad; Kiani-Moghaddam, Mohammad; Ashouri‐Zadeh, Alireza

doi:10.1016/j.solener.2019.07.075

Cited by 53 publications

(16 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Capital recovery factor (CRF) shown as Equation (17) is applied to convert LCC into the annualized cost of the HRES. Assuming that the amount of electricity generated by the HRES per year stays the same over the project's lifetime, LCOE is shown as Equation (18) [24]:…”

Section: Economic Modelmentioning

confidence: 99%

“…Their definitions are shown as Equations (19) and (20). If S bc > 0, the load will be completely satisfied (LPS = 0), and the charge power of BS (P B ) and BS's SOC are calculated by Equations (4) and (5) respectively, otherwise, set soc(t + 1) = E bmin and calculate LPS by Equation (24).…”

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.…”

mentioning

confidence: 99%

See 2 more Smart Citations

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

Yong

2020

Energies

View full text Add to dashboard Cite

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.

show abstract

Section: Economic Modelmentioning

confidence: 99%

Section: Rule-based Energy Management Strategymentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

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

Yong

2020

Energies

View full text Add to dashboard Cite

show abstract

“…Under these circumstances, the integration of battery banks becomes essential to improve the reliability of such systems [2]. In most cases, the backup generators are also used to increase the availability and resiliency of the system [3]. These systems are called HES as they combine both renewable and non-renewable energy sources.…”

Section: Introductionmentioning

confidence: 99%

Stateflow-Based Energy Management Strategy for Hybrid Energy System to Mitigate Load Shedding

et al. 2021

View full text Add to dashboard Cite

This study investigates the potential application of Stateflow (SF) to design an energy management strategy (EMS) for a renewable-based hybrid energy system (HES). The SF is an extended finite state machine; it provides a platform to design, model, and execute complex event-driven systems using an interactive graphical environment. The HES comprises photovoltaics (PV), energy storage units (ESU) and a diesel generator (Gen), integrated with the power grid that experiences a regular load shedding condition (scheduled power outages). The EMS optimizes the energy production and utilization during both modes of HES operation, i.e., grid-connected mode and the islanded mode. For islanded operation mode, a resilient power delivery is ensured when the system is subjected to intermittent renewable supply and grid vulnerability. The contributions of this paper are twofold: first is to propose an integrated framework of HES to address the problem of load shedding, and second is to design and implement a resilient EMS in the SF environment. The validation of the proposed EMS demonstrates its feasibility to serve the load for various operating scenarios. The latter include operations under seasonal variation, abnormal weather conditions, and different load shedding patterns. The simulation results reveal that the proposed EMS not only ensures uninterrupted power supply during load shedding but also reduces grid burden by maximizing the use of PV energy. In addition, the SF-based adopted methodology is envisaged to be a useful alternative to the popular design method using the conventional software tools, particularly for event-driven systems.

show abstract

“…Lau et al [26] studied the possible use of PV/ Diesel engine driven hybrid energy system under Malaysian condition using HOMER and indicated that the system could be used to replace existing or upgrade diesel generation systems in remote areas. Shivaie et al [27] considered a reliability constrained model for the optimal sizing of autonomous hybrid energy system using modified bat algorithm. Zhou et al [28] conducted a study on techno-economic performance of stand-alone hybrid energy systems in the cold region of China.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Sizing of Mini-Grid Hybrid Renewable Energy System for Islands

Tsai¹,

Beza²,

Molla³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

This paper aims to investigate the techno-economic feasibility analysis of stand-alone diesel system, stand-alone PV/storage system, PV/diesel hybrid system, PV/diesel/storage hybrid system for the Pratas island in Taiwan. The power supply of outlying islands in Taiwan still use fossil fuel generators. The fuel cost is higher than that of on shore of Taiwan, and it has a great impact on the environment. This problem can be mitigated by hybrid energy systems. Through the investigation to know the existing generator set and Photovoltaic (PV) operating status, load consumption, etc., the study collects the required data for statistical meteorological analysis and economic analysis, and uses Hybrid Optimization Models for Energy Resources (HOMER) to simulate techno-economics of the stated hybrid energy systems. The analysis contains the capital cost, net present cost (NPC), cost of energy (COE) and fuel saving in different capacities for each power supply system with different constraints. From the simulation results, the lowest COE is 0.3569 $/kWh that can be found at the PV/diesel hybrid system configuration scheme with a total PV system capacity of 200 kWp, the renewable fraction (RF) is 15.3% and the excess electricity fraction is 2.6%, which is lower than the generally acceptable 5%. Although the COE of PV/diesel/storage hybrid is higher than that of stand-alone diesel system, the annual total CO2 emissions is reduced by 31.63%, which is of great benefit to environmental protection. INDEX TERMS Cost of energy, distributed generation, energy storage, hybrid power system, mini-grid, renewable energy.

show abstract

A reliability-constrained cost-effective model for optimal sizing of an autonomous hybrid solar/wind/diesel/battery energy system by a modified discrete bat search algorithm

Cited by 53 publications

References 27 publications

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

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

Stateflow-Based Energy Management Strategy for Hybrid Energy System to Mitigate Load Shedding

Analysis and Sizing of Mini-Grid Hybrid Renewable Energy System for Islands

Contact Info

Product

Resources

About