Choice of battery energy storage for a hybrid renewable energy system

Tharani, Kusum; Dahiya, Ratna

doi:10.3906/elk-1707-350

Cited by 22 publications

(4 citation statements)

References 21 publications

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“…Battery autonomy refers to the number of hours a battery can support the critical load without charging during the main failure. Achieving some battery autonomy is necessary, especially during the rainy season when the output PV power cannot meet the load demand [60]. The simulation results indicate that the battery autonomy of the LF strategy was 8.94 h, which was the highest among those of other strategies.…”

Section: Optimization Resultsmentioning

confidence: 94%

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

et al. 2019

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In recent years, the concept of hybrid energy systems (HESs) is drawing more attention for electrification of isolated or energy-deficient areas. When optimally designed, HESs prove to be more reliable and economical than single energy source systems. This study examines the feasibility of a combined dispatch (CD) control strategy for a photovoltaic (PV)/diesel/battery HES by combining the load following (LF) strategy and cycle charging (CC) strategy. HOMER software is used as a tool for optimization analysis by investigating the techno-economic and environmental performance of the proposed system under the LF strategy, CC strategy, and combined dispatch CD strategy. The simulation results reveal that the CD strategy has a net present cost (NPC) and cost of energy (COE) values of $110,191 and $0.21/kWh, which are 20.6% and 4.8% lower than those of systems utilizing the LF and CC strategies, respectively. From an environmental point of view, the CD strategy also offers the best performance, with CO 2 emissions of 27,678 kg/year. Moreover, the results show that variations in critical parameters, such as battery minimum state of charge, time step, solar radiation, diesel price, and load growth, exert considerable effects on the performance of the proposed system. Sustainability 2019, 11, 683 2 of 26 different energy sources to produce a hybrid energy system (HES), which can solve reliability problems and provide an environmentally friendly solution [7][8][9]. Various power sources and storages, such as diesel generators, batteries, and supercapacitors, should be integrated into HESs to improve system stability and smooth out fluctuations [10,11].Sustainability 2018, 10, x FOR PEER REVIEW 2 of 29 problems and provide an environmentally friendly solution [7][8][9]. Various power sources and storages, such as diesel generators, batteries, and supercapacitors, should be integrated into HESs to improve system stability and smooth out fluctuations [10,11]. Figure 2. Commonly used approaches for energy management strategies [14]. Sustainability 2019, 11, 683 3 of 26Although the non-dispatchable RESs necessitate complex systems modeling, they are themselves simple to model without the need for control logic, in which the power is merely produced in direct response to the available renewable energy resources. On the other hand, the dispatchable components, such as the generator and battery, are more difficult to model because they must be controlled to achieve matching of demand and supply properly, and to compensate for the intermittency of the non-dispatchable RESs [16,17]. "Should a generator charge the battery or should excess solar production be responsible for charging the battery only and the generator used only to satisfy the load?" This question has led to some rules that manage the operation of generator and battery energy storage. The load following (LF) and cycle charging (CC) dispatch strategies are used to control generator operation and battery energy storage. Under the LF strategy, a generator produces only e...

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Section: Optimization Resultsmentioning

confidence: 94%

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

et al. 2019

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“…Battery autonomy (BT) represents the fraction of time when the storage supplies the load but does not get charged in the primary breakdown. Reaching some BT is essential, mainly when the PV generated power cannot satisfy the load requirement [17]. The BT is 12.1 h for PV/grid/batteries configuration based on the simulation results in this investigation.…”

Section: Optimal Sizing Results and Discussionmentioning

confidence: 84%

Optimal Sizing of a PV System in Golpayegan, Iran Using Thermal Modeling-based Load Demand

Zare

Iqbal

2020

EJENG

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This paper introduces the design and analysis of a Photovoltaic (PV) system to supply the residential load of a house in Golpayegan, Iran. The paper’s procedure is the house's thermal modeling employing BEopt software to estimate the load data and then collect the primary meteorological data such as solar irradiance and temperature for the selected site. After these preliminary steps, system optimization for PV/grid and PV/diesel/battery models are developed using the HOMER software. The optimization found that the PV array required capacities are 5.17 kW and 6.19 kW, producing 9,346 kWh/yr and 11,196 kWh/yr for standalone and grid-connected PV systems, respectively. The results indicate that solar energy utilization is an attractive option for grid-connected and standalone PV systems, of which the net present costs (NPC) of each system are 12,180 US$, 40,618 US$, respectively. The system analyses show that adopting either a PV/grid or PV/diesel/battery system causes a reduction in not only dependency on fossil fuel but also in CO2 emission.

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“…PI, Fuzzy and ANN [13] This paper covered the designing criteria of a hybrid type renewable energy system (RES) with PV and Biogas system using optimization software (HOMER) for different types of batteries: advanced lead acid batteries, Li-ion batteries and zinc-bromine and flow batteries.…”

Section: Objectivesmentioning

confidence: 99%

Neural network based novel controller for hybrid energy storage system for electric vehicles

Sharma

Boora²

2023

IJEECS

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This manuscript deals with the various control strategies of storage system for an electrical vehicle. High demands in the electrical systems in the field of transportations leads to various challenges and more precise control and regulations techniques. Apart from the conventional grid system now a days the integration of renewable energy systems like solar, wind and fuel cell system leads to more complex system but these system shares the load from conventional generating system. This paper deals with the study and control aspects of the electrical vehicles associated with hybrid energy storage (HES) systems. In general, when systems are integrated with the main grid there are more distortions and ripples in the system. To reduce these distortions various control techniques are used. This paper proposes a neural network-based PI (NNPI) controller for HES system for electric vehicles for better distortion less outputs.

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Choice of battery energy storage for a hybrid renewable energy system

Cited by 22 publications

References 21 publications

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

Energy Management and Optimization of a PV/Diesel/Battery Hybrid Energy System Using a Combined Dispatch Strategy

Optimal Sizing of a PV System in Golpayegan, Iran Using Thermal Modeling-based Load Demand

Neural network based novel controller for hybrid energy storage system for electric vehicles

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