Long-term optimization based on PSO of a grid-connected renewable energy/battery/hydrogen hybrid system

García‐Triviño, Pablo; Llorens-Iborra, Francisco; García-Vázquez, Carlos Andrés; Mena, Antonio José Gil; Fernández‐Ramírez, Luis M.; Jurado, Francisco

doi:10.1016/j.ijhydene.2014.05.064

Cited by 74 publications

(23 citation statements)

References 21 publications

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“…However, such solving techniques are generally complex to implement and quite time-demanding. Consequently, heuristic approaches have been also proposed, like genetic algorithms and particle swarm optimization, which achieve sub-optimal solutions but faster and with less computational efforts [56][57][58]. As a result, very complex and sophisticated cost functions can be considered, which can account for many system constraints and goals.…”

Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

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This chapter addresses potentialities and advantages of a highly integrated hybrid energy storage system (HESS) for electric propulsion and smart grids. This configuration consists of a highly integrated battery-ultracapacitor system (HIBUC) and aims to benefit from the advantages of both passive and active HESS configurations. Particularly, the integration of the ultracapacitor module (UM) within the DC-link of the DC/AC multilevel converter enables the decoupling between DC-link voltage and energy content without the need for any additional DC/DC converter. As a result, HIBUC benefits from simplicity and energy flow management capabilities very similar to those achieved by passive and active HESS configurations, respectively. This is highlighted properly by a theoretical analysis, which also accounts for a comparison between HIBUC and both passive and active HESS configurations. Some HIBUC application examples are also reported, which highlight the flexibility and potentialities of HIBUC for both electric propulsion systems and smart grids.

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Section: Hess Management and Controlmentioning

confidence: 99%

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

Serpi¹,

Porru²,

Damiano³

2018

Advancements in Energy Storage Technologies

View full text Add to dashboard Cite

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“…Energies 2017, 10, 1909 3 of 21 the literature review also points out that much more focus is given to defining objective functions and operating constraints than to designing the optimal solving procedure, which is generally demanded of pre-defined solvers and tools [43][44][45][46][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

“…A literature review reveals that very complex and sophisticated objective functions are generally considered, whose minimization is carried out by different optimal solving techniques [40], such as model predictive control [41][42][43], mixed-integer/linear programming [44,45], nonlinear programming [46,47] and dynamic programming [48,49]. Viable alternatives consist of heuristic approaches [50,51], such as genetic algorithms and particle swarm optimization, which guarantee less computational efforts Energies 2017, 10, 1909 3 of 21 and execution times at the cost of reduced performances (sub-optimal solutions). However, the literature review also points out that much more focus is given to defining objective functions and operating constraints than to designing the optimal solving procedure, which is generally demanded of pre-defined solvers and tools [43][44][45][46][48][49][50][51].A different management approach is proposed in this paper, which regards a novel hand-designed optimal power and energy management (OPEM) for an HESS made up of B and S. Particularly, an appropriate objective function is defined in order to enable B to provide both peak shaving and reduced grid energy buffering simultaneously, over a given time horizon and in accordance with B energy and power constraints.…”

mentioning

confidence: 99%

“…Viable alternatives consist of heuristic approaches [50,51], such as genetic algorithms and particle swarm optimization, which guarantee less computational efforts Energies 2017, 10, 1909 3 of 21 and execution times at the cost of reduced performances (sub-optimal solutions). However, the literature review also points out that much more focus is given to defining objective functions and operating constraints than to designing the optimal solving procedure, which is generally demanded of pre-defined solvers and tools [43][44][45][46][48][49][50][51].A different management approach is proposed in this paper, which regards a novel hand-designed optimal power and energy management (OPEM) for an HESS made up of B and S. Particularly, an appropriate objective function is defined in order to enable B to provide both peak shaving and reduced grid energy buffering simultaneously, over a given time horizon and in accordance with B energy and power constraints. Unlike many other optimal control approaches proposed in the literature, the optimal solution is achieved analytically by applying the Pontryagin's minimum principle (PMP) [52][53][54][55][56], thus enabling fast and effective real-time implementation.…”

mentioning

confidence: 99%

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confidence: 99%

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An Optimal Power and Energy Management by Hybrid Energy Storage Systems in Microgrids

2017

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A novel optimal power and energy management (OPEM) for centralized hybrid energy storage systems (HESS) in microgrids is presented in this paper. The proposed OPEM aims at providing multiple grid services by suitably exploiting the different power/energy features of electrochemical batteries (B) and supercapacitors (S). The first part of the paper focuses on the design and analysis of the proposed OPEM, by highlighting the advantages of employing hand-designed solutions based on Pontryagin's minimum principle rather than resorting to pre-defined optimization tools. Particularly, the B power profile is synthesized optimally over a given time horizon in order to provide both peak shaving and reduced grid energy buffering, while S is employed in order to compensate for short-term forecasting errors and to prevent B from handling sudden and high-frequency power fluctuations. Both the B and S power profiles are computed in real-time in order to benefit from more accurate forecasting, as well as to support each other. Then, the effectiveness of the proposed OPEM is tested through numerical simulations, which have been carried out based on real data from the German island of Borkum. Particularly, an extensive and detailed performance analysis is performed by comparing OPEM with a frequency-based management strategy (FBM) in order to highlight the superior performance achievable by the proposed OPEM in terms of both power and energy management and HESS exploitation.ESS in several applications, their use for providing energy and power services is still quite limited. Considering supercapacitors, flywheel and superconducting magnetic ESS, they are very suitable for power services due to their fast dynamic response. However, supercapacitors suffer from very poor energy content, while flywheel and superconducting magnetic ESS are characterized by safety and cost issues respectively. Despite the specific types of ESS, a literature review reveals that a single ESS technology may not be suitable for providing both energy and power services. Consequently, ESS economic viability is still an issue for grid applications, especially due to high investment costs.In this regard, hybrid energy storage systems (HESS) represent a very promising solution; these consist of suitable combinations of both high energy and high power density ESS and thus, of ESS technologies characterized by complementary features [15][16][17][18][19][20]. Consequently, HESS can benefit from the advantages of different ESS technologies, resulting in enhanced performance compared to single ESS. Regarding the high energy density storage unit of the HESS, electrochemical batteries (B), compressed-air or hydrogen-based ESS are generally considered, which are characterized by an adequate energy capacity but relatively slow dynamic performance. It is also possible to make an HESS by combining B with compressed-air or hydrogen-based ESS [16,17]; in these cases, B act as the high power density storage unit due to superior dynamic performances and lower energy density c...

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System sizing of hybridsolar‐fuel cell batteryenergy system using artificial bee colony algorithm with predator effect

Singh

Gupta

2021

Intl J of Energy Research

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Summary In current years, hydrogen‐based power generation has emerged as an alternative energy source for transportation and electricity. Hydrogen‐based power generation along with solar photovoltaic (PV) is a matter of current research. In this manuscript, a hybrid solar, fuel cell, battery with an electrolyzer and hydrogen tank has been developed to cater the electricity demand of a small academic complex. The economic analysis of the project has been performed with detailed mathematical modeling of the system. The hydrogen and energy management is performed on a one‐year complete data. To deduce the sizing of the components, a novel artificial bee colony algorithm with predator effect (ABC‐PO) has been proposed by the authors. The optimal sizing results obtained from the proposed ABC‐PO have been compared with other optimization algorithms, that is, conventional ABC, particle swarm optimization (PSO), and hybrid ABC‐PSO. The results show that electricity demand of 39.4 MWh/yr could be met with a combination of 27 kW solar PV, 24 kW electrolyzer, 10 kW fuel cell, and 57 kWh batteries with a 131 kg of hydrogen tank. The designed system provides a levelized cost of electricity of $0.279/kWh with a minimum loss of power supply probability. A detailed hydrogen and energy management has been discussed to show the efficacy of the system.

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Long-term optimization based on PSO of a grid-connected renewable energy/battery/hydrogen hybrid system

Cited by 74 publications

References 21 publications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

A Novel Highly Integrated Hybrid Energy Storage System for Electric Propulsion and Smart Grid Applications

An Optimal Power and Energy Management by Hybrid Energy Storage Systems in Microgrids

System sizing of hybridsolar‐fuel cell batteryenergy system using artificial bee colony algorithm with predator effect

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