Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost

Naderipour, Amirreza; Abdul‐Malek, Zulkurnain; Nowdeh, Saber Arabi; Kamyab, Hesam; Ramtin, Amir Reza; Shahrokhi, Saman; Klemeš, Jiří Jaromír

doi:10.1016/j.jclepro.2020.124207

Cited by 79 publications

(36 citation statements)

References 38 publications

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“…The OF of the hybrid system design is minimizing the TCHS as follows [9,11], and [30][31][32][33]. The TCHS includes capital cost (C cap ), maintenance cost (C main ), replacement cost (C rep ) of the system components as well as the cost of load loss ( C loss−load ).…”

Section: Objective Functionmentioning

confidence: 99%

“…In [10], designing the hybrid system is evaluated based on PV and battery storage as grid-connected with the capability of grid import and export using linear programming (LP). The hybrid PV/WT/Tidal/Hydrogen system design is studied with the aim of evaluating cost/ reliability based on whale optimization algorithm (WOA) based on reliability constraint in [11], using discrete harmony search algorithm (DHSA) in [12]. In [13], designing of different hybrid system based PV, WT, Batt and grid are presented economically and technically and the optimization problem is solved using non-dominated GA for household application.…”

Section: Introductionmentioning

confidence: 99%

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Optimal design of an off-grid hybrid renewable energy system considering generation and load uncertainty: the case of Zanjan city, Iran

2021

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In this paper, designing a hybrid stand-alone photovoltaic/wind energy system with battery storage (PV/WT/Batt) is presented to minimize the total cost of the hybrid system and considering reliability constraints for Zanjan city in Iran country considering generation and load uncertainties. The total cost includes the cost of the system components and load losses cost and also deficit power probability-hourly interruption probability index, which is defined as the reliability constraint. The optimal size of the system components is found using an improved crow search algorithm based on mutation and crossover operators of the genetic algorithm to prevent premature convergence. The optimal designing of the hybrid system is implemented considering the uncertainty of photovoltaic and wind resources as well as the load demand of the system based on the probability distribution functions of uncertain parameters using Monte Carlo simulation. The simulations are implemented in two deterministic and probabilistic scenarios. In the deterministic scenario, the optimal design of various combinations of the hybrid system is investigated in view of the system cost and deficit power probability probability-hourly interruption probability index based on the improved crow search algorithm with and without the cost of load loss. The results of the deterministic scenario showed that the system cost is increased considering the cost of load loss, but the system load is supplied with higher reliability. Also, the deterministic results cleared the superiority of the improved crow search algorithm compared with conventional crow search algorithm and particle swarm optimization methods. Moreover, the results of the system designing showed that considering the uncertainty, the system cost increases, and the reliability is significantly improved. The results cleared that the system cost in deterministic and probabilistic designing is obtained 1.0108 M$ and 1.210 M$, respectively for load supply equal to 153.87 MWh. So, due to the inherent nature of the uncertainty in the renewable resources power generation as well as continuous load changes, a probabilistic approach of the hybrid system designing is necessary to know the accurate cost and reliability. Article highlights Effective performance of the proposed method in system designing with lowest cost and higher reliability. Achieving to a more reliable hybrid energy system with considering cost of load losses in designing. Increasing the system the cost and improving the reliability considering uncertainties of generation and load.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal design of an off-grid hybrid renewable energy system considering generation and load uncertainty: the case of Zanjan city, Iran

2021

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“…In the operation of distribution networks, various methods have been used to improve the network characteristics especially reduction of losses. Also, capacitors in the distribution networks are widely used for reactive power compensation because of their low cost, low losses, minimal need for repair and maintenance, and higher economy than other methods, including reactive power compensators 7 . Unsuitable capacitor placement in networks that use capacitors increases the losses and the cost of generating and transmitting energy 7 .…”

Section: Introductionmentioning

confidence: 99%

“…Also, capacitors in the distribution networks are widely used for reactive power compensation because of their low cost, low losses, minimal need for repair and maintenance, and higher economy than other methods, including reactive power compensators 7 . Unsuitable capacitor placement in networks that use capacitors increases the losses and the cost of generating and transmitting energy 7 . Therefore, it is necessary to optimise the location and size of capacitors in the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types

Naderipour

Abdul‐Malek

Hajivand

et al. 2021

Sci Rep

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In this paper, the optimal allocation of constant and switchable capacitors is presented simultaneously in two operation modes, grid-connected and islanded, for a microgrid. Different load levels are considered by employing non-dispatchable distributed generations. The objective function includes minimising the energy losses cost, the cost of peak power losses, and the cost of the capacitor. The optimization problem is solved using the spotted hyena optimizer (SHO) algorithm to determine the optimal size and location of capacitors, considering different loading levels and the two operation modes. In this study, a three-level load and various types of loads, including constant power, constant current, and constant impedance are considered. The proposed method is implemented on a 24-bus radial distribution network. To evaluate the performance of the SHO, the results are compared with GWO and the genetic algorithm (GA). The simulation results demonstrate the superior performance of the SHO in reducing the cost of losses and improving the voltage profile during injection and non-injection of reactive power by distributed generations in two operation modes. The total cost and net saving values for DGs only with the capability of active power injection is achieved 105,780 $ and 100,560.54 $, respectively and for DGs with the capability of active and reactive power injection is obtained 89,568 $ and 76,850.46 $, respectively using the SHO. The proposed method has achieved more annual net savings due to the lower cost of losses than other optimization methods.

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“…To cover the various aspects discussed above, this paper presents a new framework for the multi-area economic dispatch, in which the reliability issue together with other technical restrictions are simultaneously taken into account for the first time [29]. To serve this purpose, the EENS index has been added to the formulation and the associated cost is added to the common operational and emission costs.…”

Section: Introductionmentioning

confidence: 99%

An Effective Algorithm for MAED Problems with a New Reliability Model at the Microgrid

et al. 2021

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This paper proposes a new framework for multi-area economic dispatch (MAED) in which the cost associated with the reliability consideration is taken into account together with the common operational and emission costs using expected energy not supplied (EENS) index. To improve the reliability level, the spinning reserve capacity is considered in the model as well. Furthermore, the MAED optimization problem and non-smooth cost functions are taken into account as well as other technical limitations such as tie-line capacity restriction, ramp rate limits, and prohibited operating zones at the microgrid. Considering all the above practical issues increases the complexity in terms of optimization, which, in turn, necessitates the use of a powerful optimization tool. A new successful algorithm inspired by phasor theory in mathematics, called phasor particle swarm optimization (PPSO), is used in this paper to address this problem. In PPSO, the particles’ update rules are driven by phase angles to essentially ensure a spread of variants across the population so that exploitation and exploration can be balanced. The optimal results obtained via simulations confirmed the capability of the proposed PPSO algorithm to find suitable optimal solutions for the proposed model.

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Comparative evaluation of hybrid photovoltaic, wind, tidal and fuel cell clean system design for different regions with remote application considering cost

Cited by 79 publications

References 38 publications

Optimal design of an off-grid hybrid renewable energy system considering generation and load uncertainty: the case of Zanjan city, Iran

Optimal design of an off-grid hybrid renewable energy system considering generation and load uncertainty: the case of Zanjan city, Iran

Spotted hyena optimizer algorithm for capacitor allocation in radial distribution system with distributed generation and microgrid operation considering different load types

An Effective Algorithm for MAED Problems with a New Reliability Model at the Microgrid

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