The quantitative techno-economic comparisons and multi-objective capacity optimization of wind-photovoltaic hybrid power system considering different energy storage technologies

He, Yi; Guo, Shu-Guang; Zhou, Jianxu; Wu, Feng; Huang, Jing; Pei, Huanjin

doi:10.1016/j.enconman.2020.113779

Cited by 109 publications

(30 citation statements)

References 35 publications

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“…A presented review of different sizing methodologies for hybrid wind/ solar/ storage systems is given in [48]. Optimal capacity sizing and different storage technologies in wind/solar and energy storage hybrid systems, analyzed in [49], find that battery storage systems prove to be the most cost-effective besides thermal energy storage systems in such multi-optimization strategy. All of the given analyzes show that high initial investment costs, as barriers to wider storage grid integration, can be overcome by combining energy storage systems in specific applications with intermittent renewable energy sources.…”

Section: Hybrid Power Systems With Storagementioning

confidence: 99%

Prospects of electricity storage

Topalović

Haas

Ajanović

et al. 2023

Renew. Energy Environ. Sustain.

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With the expansion of renewables in the electricity markets, research on electricity storage economics is needed for a better understanding of the utilization of these systems and for improving the performance of intermittent variable generation. Collected up-to-date research of electricity storage systems published in a wide range of articles with high impact factors gives a comprehensive review of the current studies regarding all relevant parameters for storage utilization in the electricity markets. Valuable research of technical characteristics from the literature is broadened with the electricity storage analyses from an economic point-of-view. Analysis of selected technologies, considering different perspectives such as their profitability, technical maturity, and environmental aspect, is a valuable addition to the previous research on electricity storage systems. Comparing conducted analysis with the selected literature, electricity storage technologies are analyzed concerning their viability in the electricity markets. Given the current outlook of the electricity market, the main problems for storage's wider integration are still energy storage costs. These can be overcome with different applications of energy storage systems, integration of new market players, or a combination of storage technologies along with the implementation of new energy policies for storage.

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Section: Hybrid Power Systems With Storagementioning

confidence: 99%

Prospects of electricity storage

Topalović

Haas

Ajanović

et al. 2023

Renew. Energy Environ. Sustain.

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“…The upper layer objective function includes the primary energy rate (PER) and the annual ACSR. In [31], a wind-PV hybrid power system was developed then the levelized cost of energy and loss of power supply probability of the model were optimized using the multi-objective evolutionary algorithm for supplying energy. The optimization of the model was accomplished in [32] by using a predatory parasitic algorithm (PPA) to improve the system efficiency and reduce hydrogen consumption.…”

Section: Nomenclaturesmentioning

confidence: 99%

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Liu¹,

Liu²

2023

Energy Engineering

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The optimal allocation of integrated energy system capacity based on the heuristic algorithms can reduce economic costs and achieve maximum consumption of renewable energy, which has attracted many attentions. However, the optimization results of heuristic algorithms are usually influenced by the choice of hyperparameters. To solve the above problem, the particle swarm algorithm is introduced to find the optimal hyperparameters of the heuristic algorithms. Firstly, an integrated energy system consisting of the photovoltaic, wind turbine, electrolysis cell, hydrogen storage tank, and energy storage is established. Meanwhile, the minimum economic cost, the maximum wind and PV power consumption rate, and the minimum load shortage rate are considered to be the objective functions. Then, a hybrid method combined the particle swarm combined with non-dominated sorting genetic algorithms-II is proposed to solve the optimal allocation problem. According to the optimal result, the economic cost is 6.3 million RMB, and the load shortage rate is 9.83%. Finally, four comparative experiments are conducted to verify the superiority-seeking ability of the proposed method. The comparative results indicate that the proposed method possesses a stronger merit-seeking ability, resulting in a solution satisfaction rate of 87.37%, which is higher than that of the unimproved non-dominated sorting genetic algorithms-II.

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“…Specifically, in [12], particle swarm optimization (PSO) and power flow are combined to minimize the total network cost by optimizing the location and size of HPPs. In [13], a multi-objective heuristic algorithm is applied to minimize the levelized cost of energy (LCOE) and the loss of power supply probability (LPSP) by optimizing the size of RESs and a single ESS within the HPP. An improved version of [13] is proposed in [14] by considering hybrid storage (two different storage technologies) within the same HPP.…”

Section: Bmentioning

confidence: 99%

“…In [13], a multi-objective heuristic algorithm is applied to minimize the levelized cost of energy (LCOE) and the loss of power supply probability (LPSP) by optimizing the size of RESs and a single ESS within the HPP. An improved version of [13] is proposed in [14] by considering hybrid storage (two different storage technologies) within the same HPP. In [15], the total lifecycle cost (TLCC) of an HPP, consisting of RESs and hydrogen storage, is minimized, using heuristic optimization.…”

Section: Bmentioning

confidence: 99%

Optimizing the Installation of Hybrid Power Plants in Non-Interconnected Islands

Pompodakis¹,

Kryonidis²,

Karapidakis³

2023

Preprint

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<p>This paper proposes a comprehensive optimization approach based on linear programming (LP) for the installation of multiple hybrid power plants (HPPs) in non-interconnected islands. Contrary to the current state-of-the-art solutions, the proposed approach optimizes simultaneously the size, location, and technology of each HPP in order to minimize the long-term electricity cost of the island. The optimization problem is formulated as a LP problem to ensure convergence and global optimum solution. Moreover, a series of system constraints are included in the optimization problem, e.g., power reserves, transmission constraints, etc., to ensure the secure and reliable operation of the grid; this is compatible with the actual preventive measures imposed by the network operator in real non-interconnected islands. Simulations are executed in a real Greek Island (Rhodes), confirming the applicability of the proposed method as an optimization tool for network planning studies in non-interconnected islands.</p>

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The quantitative techno-economic comparisons and multi-objective capacity optimization of wind-photovoltaic hybrid power system considering different energy storage technologies

Cited by 109 publications

References 35 publications

Prospects of electricity storage

Prospects of electricity storage

An Optimization Capacity Design Method of Wind/Photovoltaic/Hydrogen Storage Power System Based on PSO-NSGA-II

Optimizing the Installation of Hybrid Power Plants in Non-Interconnected Islands

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