Technical, economic, and performance analysis of a hybrid energy system using a novel dispatch strategy

Toopshekan, Ashkan; Yousefi, Hossein; Astaraei, Fatemeh Razi

doi:10.1016/j.energy.2020.118850

Cited by 84 publications

(36 citation statements)

References 49 publications

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“…In most recent studies conducted in Iran, the system design consisted of renewables (SPV and WT systems), DG, BSS, and electric load. [10][11][12][13][14][15][16] Mostly, they ignored to consider thermal load and thermal energy supply in their studies. Therefore, it would be more realistic to consider the thermal consumption of residential households in technoeconomic optimization.…”

Section: Components Of the Hybrid Energy Systemmentioning

confidence: 99%

“…Reviewing recent studies in the field, it can be observed that many studies neglected to consider load growth rates in their long-term planning. [10][11][12][13][14][15][16] In these studies, hybrid energy systems are optimized using a one-year electrical (sometimes thermal) load consumption profile and then extrapolate that particular year to other years until the end of the optimization (static planning approach). While this procedure significantly saves simulation time, the results could be unrealistic, especially when the residential sector is taken as a case study.…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. 11, a grid-connected mediumsize hotel located at Kish Island, Iran, has been investigated for the best combination of RESs and nonRESs. They found that the optimal economic system includes the WT system, DG, and BSS.…”

Section: Introductionmentioning

confidence: 99%

“…This principle has been neglected in previous studies. [10][11][12][13][14][15][16] Some other studies emphasized both electrical and thermal load consumption of hybrid energy systems. [17][18][19] In real-world applications, residential households require both electrical and thermal power.…”

Section: Introductionmentioning

confidence: 99%

“…2. In contrast to the reviewed research works, [10][11][12][13][14][15][16] this paper considered both electric and thermal load growth rates using an efficient peak load forecasting method. 3.…”

mentioning

confidence: 99%

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Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

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Section: Components Of the Hybrid Energy Systemmentioning

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Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

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Impact of Small Scale Storage and Intelligent Scheduling Strategy on Cost Effective and Voltage Secure Operation of Wind+PV+Thermal Hybrid System

Dauda

Panda

2022

Advcd Theory and Sims

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The growing concern on climate change and environmental pollution has created enormous pressure on shifting the generation toward cleaner and environmental friendly sources. Among different clean energy producers, wind power and solar photovoltaic (PV) systems are the most attractive ones due to their abundant availability, substantial power production capability, and cost effective attributes. But, their intermittent availability makes the system operation extremely vulnerable. Therefore, optimum utilization of renewable energy in hybrid power system (HPS) may not be achievable without the integration of energy storage facilities. In this context, integration of battery energy storage (BES) systems with Wind+PV+Thermal (WPT) hybrid configuration is considered in this work to meet the sudden and short term disharmony between actual and available renewable power output. Moreover, to maintain a secure system voltage of the WPT+BES system, the impact of reactive power (Q) capability of doubly fed induction generator has also been analyzed. The scheduling problem of the proposed HPS is solved by formulating in an optimization framework. Intelligent technique is applied to evaluate the optimal operational paradigm at multiple percentage of renewable energy penetration scenarios at which the proposed HPS may operate in a voltage secure and cost effective manner. The validation of the proposed operating strategy on the comparative performance evaluation of WPT and WPT+BES systems is portrayed on IEEE30 bus benchmark power system configuration.

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Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

Kushwaha,

Bhattacharjee

2024

Env Prog and Sustain Energy

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Electricity supply reliability in an electricity distribution network is majorly affected due to unexpected power failures and power cuts. A hybrid renewable energy system (HRES) with the optimal size of renewable energy sources can substantially improve power reliability. Therefore, this article develops an objective function incorporating socio‐techno‐economic‐environmental (STEE) factors for HRES optimal sizing to supply reliable power to a rural village. The factors considered in the objective function are namely social (employment generation factor, human progress index, and land cost), technical (excess energy factor, renewable energy portion, and loss of power supply probability), economical (total net present cost, cost of energy, and annualized cost of system), and environmental (emission cost). In this article, for the first time, marine predators algorithm (MPA) based metaheuristic optimizer is devised to address the sizing optimization problem of HRES. Three HRES configurations, having different arrangements of diesel generator (DG), biogas generator (BG), battery (BAT), wind turbine (WT), and photovoltaic (PV), are examined utilizing MPA, particle swarm optimization (PSO), salp swarm algorithm (SSA), and genetic algorithm (GA) for optimal configuration. Due to the lowest value of economical and environmental factors and the highest value of the social factor, the PV‐WT‐BAT‐BG‐DG configuration is optimal compared to other investigated configurations with MPA. Comparing the four optimizers, MPA has the best STEE factor values, as well as stronger convergence, greater ability to escape from local minima, and higher ability to approach the global optimum. Additionally, by contrasting it with the PSO result for the three HRES configurations, the MPA result quality is confirmed. Furthermore, the cost of energy (0.1799 $/kWh) of the optimal configuration is less than the latest addressed in the literature.

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Technical, economic, and performance analysis of a hybrid energy system using a novel dispatch strategy

Cited by 84 publications

References 49 publications

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

Impact of Small Scale Storage and Intelligent Scheduling Strategy on Cost Effective and Voltage Secure Operation of Wind+PV+Thermal Hybrid System

Socio‐techno‐economic‐environmental sizing of hybrid renewable energy system using metaheuristic optimization approaches

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