Optimal sizing of hybrid renewable energy systems for reliability enhancement and cost minimization using multiobjective technique in microgrids

Vaka, Srinivas Sandeep Kumar Reddy; Kumari, M. Sailaja

doi:10.1002/est2.419

Cited by 7 publications

(5 citation statements)

References 35 publications

(21 reference statements)

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“…A MOPSO is a technique inspired by natural swarm behaviors to solve discrete and continuous optimization problems [33]. It focuses on identifying optimal objective function values using two solution points: local best Pbest i = (p i1 , p i2 , .…”

Section: Multi-objective Particle Swarm Optimizationmentioning

confidence: 99%

Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty

Kiptoo,

Adewuyi,

Furukakoi

et al. 2023

Energies

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Weather-driven uncertainties and other extreme events, particularly with the increasing reliance on variable renewable energy (VRE), have made achieving a reliable microgrid operation increasingly challenging. This research proposes a comprehensive and integrated planning strategy for capacity sizing and operational planning, incorporating forecasting and demand response program (DRP) strategies to address microgrid operation under various conditions, accounting for uncertainties. The microgrid includes photovoltaic systems, wind turbines, and battery energy storage. Uncertainties in VREs and load fluctuations are modeled using Monte Carlo simulations (MCSs), while forecasting is based on the long short-term memory (LSTM) model. To determine the best techno-economic planning approach, six cases are formulated and solved using a multi-objective particle swarm optimization with multi-criteria ranking for these three objectives: total lifecycle costs (TLCC), reliability criteria, and surplus VRE curtailment. Shortage/surplus adaptive pricing combined with variable peak critical peak pricing (SSAP VP-CPP) DRP is devised and compared with a time-of-use VP-CPP DRP in mitigating the impacts of both critical and non-critical events in the system. The simulation results show that the integrated planning, which combines LSTM forecasting with DRP strategies, achieved about 7% and 5% TLCC reductions for deterministic and stochastic approaches, respectively. The approach allowed optimal sizing and operation planning, improving the utilization of VREs and effectively managing uncertainty, resulting in the most cost-effective and robust VRE-based microgrid with enhanced resilience and reliability.

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Section: Multi-objective Particle Swarm Optimizationmentioning

confidence: 99%

Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty

Kiptoo,

Adewuyi,

Furukakoi

et al. 2023

Energies

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“…It can be plugged into one or more configurations and supply essential infrastructure, smaller towns, or even industrial plants with electricity 7 . This developing technology boosts resilience, produces clean, effective energy, and enhances the functionality and continuity of the primary power grid 6,8 . The fundamental problem in the topic of managing a hybrid microgrid that generates electricity from multiple sustainable energy sources include 9,10 : Intermittency and stochasticity of renewable energy generation: RESs such as solar and wind energy are intermittent and their output power varies based on weather conditions, which makes managing their integration into the microgrid challenging. Lack of coordination among energy management systems (EMSs): Hybrid microgrids typically use RESs and hybrid energy storage system (HESS), which need to be coordinated effectively to ensure the smooth operation of the microgrid. Efficiency and durability of energy conversion systems: Electrical based energy conversion systems such as photovoltaic (PV), wind turbines, fuel cells (FCs), and tidal energy systems need to be optimized to improve their efficiency and durability to ensure long‐term cost‐effectiveness. Cost‐effectiveness of the system: Hybrid microgrids can be expensive to install and maintain, which raises concerns about their cost‐effectiveness and return on investment. …”

Section: Introductionmentioning

confidence: 99%

“…7 This developing technology boosts resilience, produces clean, effective energy, and enhances the functionality and continuity of the primary power grid. 6,8 The fundamental problem in the topic of managing a hybrid microgrid that generates electricity from multiple sustainable energy sources include 9,10 :…”

Section: Introductionmentioning

confidence: 99%

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

Belkhier,

Oubelaid

2024

Energy Storage

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This paper proposes a comprehensive solution to the challenges of managing a hybrid microgrid that generates electricity from multiple sustainable energy sources by proposing a coordinated energy management strategy and storage system. As renewable energy generation becomes increasingly popular, it introduces greater intermittency and stochasticity in energy management. To address this issue, a coordinated energy management strategy and storage system is proposed, which includes a fuzzy logic modified super twisting algorithm (MSTA). The objectives are to optimize the design and operation of microgrid including electrical based energy conversion systems such as photovoltaic and wind turbines, fuel cells, tidal energy, electric vehicle charging stations, and main grid. The second objective is to develop an energy management system for hybrid energy storage systems (HESS) and renewable energy sources (RESs) to maximize power production and ensure service continuity and smooth output energy of the microgrid, while also providing optimal benefits. To maintain cost‐effectiveness, an On/Off maximum power point tracking (MPPT) algorithm is also proposed. The contribution of this paper is to provide a solution to the intermittent and stochastic nature of renewable energy management and to improve the efficiency and durability of the energy conversion systems. The proposed management unit provides consistent output power and long‐term service.

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“…The depletion of fossil fuels has raised the demand for renewable means of energy production for future life. The development of sustainable and renewable energy production and storage attained increasing attention due to its unique features, such as being environment‐friendly, safe, low pollution, and so forth 1‐3 . United Nation's Sustainable Development Goals (UNSDGs) envisage our planet to be green forever by implementing sustainable and renewable energy devices in the market 4‐6 .…”

Section: Introductionmentioning

confidence: 99%

“…to its unique features, such as being environmentfriendly, safe, low pollution, and so forth. [1][2][3] United Nation's Sustainable Development Goals (UNSDGs) envisage our planet to be green forever by implementing sustainable and renewable energy devices in the market. [4][5][6] The UNSDG Goal-7 illustrates the necessity of developing affordable and clean energy for a sustainable earth.…”

mentioning

confidence: 99%

A comprehensive review on tungsten oxide nanostructures‐based electrochromic supercapacitors and machine learning models for design and process parameter optimization

Thomas¹,

Cherusseri

Khalid

2023

Energy Storage

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Electrochromism has received significant research recently due to its unique electrochromic feature for various applications such as smart buildings, smart doors, e‐skins, display devices, and so forth. Transition metal oxides are the major choice as electrode materials for electrochromic devices. Among the various electrochromic oxides available so far, tungsten oxide (WO3) achieves great interest due to its peculiar properties such as high coloration efficiency, low‐cost, high stability, and so forth. WO3 is an example of cathodic electrochromic material in which the material gets color under ion insertion. In this review article, we discuss the recent developments in WO3‐based electrochromic supercapacitors. Initially, the synthesis and characterizations of WO3 are discussed, and later the electrochromic performance evaluation using various electrochemical characterization tools, such as cyclic voltammetry, galvanostatic charge/discharge cycling, and so on, was reviewed. Furthermore, various theoretical models that describe the performance of electrochromic supercapacitors are explained in detail. Finally, the future perspectives of WO3‐based electrochromic supercapacitors are discussed. The most recent advances in machine learning (ML) are being utilized to investigate the mechanism and enhance the strategic performance of WO3 in the field of electrochromic. There is ongoing research in developing ML models for predicting the optimal design of electrochromic supercapacitors in terms of both material selection and performance parameters. Such models are essential in the pursuit of next‐generation smart windows, which are integral to the construction of sustainable buildings and the creation of a more environment‐friendly planet.

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Optimal sizing of hybrid renewable energy systems for reliability enhancement and cost minimization using multiobjective technique in microgrids

Cited by 7 publications

References 35 publications

Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty

Integrated Multi-Criteria Planning for Resilient Renewable Energy-Based Microgrid Considering Advanced Demand Response and Uncertainty

Novel design and adaptive coordinated energy management of hybrid fuel‐cells/tidal/wind/PV array energy systems with battery storage for microgrids

A comprehensive review on tungsten oxide nanostructures‐based electrochromic supercapacitors and machine learning models for design and process parameter optimization

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