Simplified performance models of photovoltaic/diesel generator/battery system considering typical control strategies

Ameen, Ammar Mohammed; Pasupuleti, Jagadeesh; Khatib, Tamer

doi:10.1016/j.enconman.2015.04.024

Cited by 57 publications

(19 citation statements)

References 28 publications

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“…It is to be understood that the smaller the battery size, the more difficult it is for the battery to meet P diff ; thereby resulting in insufficient storage capacity and associated losses. Hence, the objective function is coined as in (8) to minimize battery cost while satisfying all other constraints listed in (16)- (19) [11,34]. The addition of loss components in the objective function tends to balance the battery size for optimum capacity.…”

Section: Sizing Methodologymentioning

confidence: 99%

“…Control and management strategies influence the performance of storage systems as explored in the case of a battery integrated hybrid microgrid in [8,[15][16][17][18]. Refs [19,20] presented a scheme to utilize two batteries in dual-topology to dispatch wind power where the two batteries were used interchangeably for charging and discharging to deliver wind power with better forecasting and increased reliability. Ensuring full charge/discharge cycle of batteries has proved to improve the operating lifetime of batteries [21].…”

Section: Introductionmentioning

confidence: 99%

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Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

et al. 2018

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This paper proposes an intelligent battery management system (BMS) implementing two large Vanadium Redox Battery (VRB) flow batteries in a master-slave mode to provide grid-level energy storage for a wind-solar hybrid power system. The proposed BMS is formulated to effectively meet a predetermined power dispatch formulated based on forecasted wind and solar data while incorporating features like peak shaving and ramp rate limiting. It is compared to a single battery module operated system to showcase the advantages of the proposed intelligent dual battery module in terms of appreciable reduction in battery size and costs while exhibiting improved lifecycle performance. The battery size is optimized based on heuristic optimization algorithms and modelled in Matlab/Simulink environment. An intelligent fuzzy-based BMS is used to control the dual VRB model to ensure optimized power sharing between batteries. The simulations were carried out and an in-depth economic analysis conducted to analyze the costs and other financial metrics of the hybrid project. Results proved the advantages of the dual battery with the proposed BMS and fortify that the introduction of time-based tariffs and other incentives will further make investments in VRB highly attractive for renewable applications.

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Section: Sizing Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

et al. 2018

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“…However, the occurrence of PV shedding means that assets are not used efficiently. PV shedding is therefore penalized, and its cost is defined as in Equation (16).…”

Section: Pv and Load-shedding Tariff Modellingmentioning

confidence: 99%

“…However, DG start-up time and DG loading conditions are not considered in these articles. Otherwise, in Reference [16], both the load-following control strategy and cycle-charging dispatch control strategy are considered and compared. Two tests using real weather data and load power demand have been carried out to validate the proposed strategies.…”

Section: Introductionmentioning

confidence: 99%

Power Management Strategy for an Autonomous DC Microgrid

Yin¹,

Sechilariu

et al. 2018

Applied Sciences

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Owing to the intermittent nature of renewable energy, microgrids in islanding operation mode require backup power sources. The diesel generator is the most popular backup source, but does not offer an instantaneous start-up and cannot immediately provide the necessary power. Therefore, supercapacitors are used to assist the power balance during diesel generator start-up thanks to their responsiveness and high-power density. This paper proposed a power management strategy for an autonomous DC microgrid based on a photovoltaic source, electrochemical storage, a supercapacitor, and a diesel generator. The proposed control system aimed at power balance while accounting for the slow start-up characteristic of the diesel generator, the self-discharge of the supercapacitor, the dynamic load management, and the economic operating mode of the diesel generator. The main contribution of this paper centered on a power management strategy solving the above issues integrally, and economic analysis for the diesel generator and microgrid. Experimental studies were carried out for different scenarios and the results obtained confirmed the effectiveness of the proposed strategy. Furthermore, the study provided a comparison between the economic operating and load-following modes of the diesel generator and demonstrated that the economic operating mode of the diesel generator can reduce the total energy cost of the DC microgrid.

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“…The dispatch strategy plays an important role in deciding the economical feasibility to the consumer. Cost‐effective and reliable operation of any HRES can be determined by proper dispatch strategy of DG . A variable speed diesel generator (VSDG) has a significant impact on HRES for obtaining a tech‐economic system which was first introduced by Manwell .…”

Section: Introductionmentioning

confidence: 99%

A novel methodology for scrutiny of autonomous hybrid renewable energy system

2017

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Summary The optimal design of a hybrid system with different configurations including renewable generation is presented in this paper. A novel multi‐objective function consisting of 6 different objectives of hybrid system is reported using GA, PSO, and TLBO to decide the optimal configurations of parameters. The technical (loss of power supply probability, renewable factor), economical (cost of energy, penalty and fuel consumption), and social (job creation, human development index, and particular matter) features are investigated as objectives simultaneously for optimal design of hybrid system. The different objective indices namely cost of energy, loss of power supply probability, particular matter, human development index, job creation, and renewable factor indices are considered. The newly invented particular matter factor for design consideration of hybrid system directly shows the human health impacts, while pollutant emission is measured in the hybrid system design. The optimum values of objective indices are decided on the basis of the minimum value of multi‐objective function. The distinct cases from I to VI of hybrid system are examined for optimal configuration including different combinations of PV, wind, biomass, diesel generator, and battery bank. The resulting analysis of each case reveals that the performance of TLBO is better than PSO, and PSO is better than GA in all respect through new multi‐objective function and found case I is more efficient solution.

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Simplified performance models of photovoltaic/diesel generator/battery system considering typical control strategies

Cited by 57 publications

References 28 publications

Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

Power Management Strategy for an Autonomous DC Microgrid

A novel methodology for scrutiny of autonomous hybrid renewable energy system

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