Integrated assessment of a sustainable microgrid for a remote village in hilly region

Kumar, Abhishek; Singh, Arvind R.; Deng, Yan; He, Xiuyu; Kumar, Praveen; Bansal, Ramesh C.

doi:10.1016/j.enconman.2018.10.084

Cited by 111 publications

(57 citation statements)

References 158 publications

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“…Promising approaches include for example the combination of optimization approaches with multi-criteriadecision analysis (MCDA), as in [81] and [93]. These types of analyses do not yet include the perspective of every inhabitant, but at least the perspective of their most important representatives.…”

Section: Methodologies and Modelsmentioning

confidence: 99%

“…Possible weightings for the criteria could either be determined on site before the case studies, or taken from surveys such as in [5]. Land use [55,71,81,84] Security of supply [38,69,84,99] Forecast accuracy [125,126] Renewable share in energy supply [38,84] Social acceptance [81,99] Community net imports [93] Creation of jobs [81] Ease of installation and operation [99] Flexibility of the system for future expansion [99] Gross domestic production [105] Health issues [81] Human development index [81] Noise [81] Risk of flash floods [81] Technical efficiency [81] Technical reliability [81] Technical lifespan [81] Technical scalability [81] Technical maturity [81] Universal education and gender equality [81] Water consumption [55] Water quality [81] 4.2.…”

Section: Target Criterionmentioning

confidence: 99%

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Reviewing energy system modelling of decentralized energy autonomy

Weinand

Scheller

McKenna

2020

Energy

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Research attention on decentralized autonomous energy systems has increased exponentially in the past three decades, as demonstrated by the absolute number of publications and the share of these studies in the corpus of energy system modelling literature. This paper shows the status quo and future modelling needs for research on local autonomous energy systems. A total of 359 studies are roughly investigated, of which a subset of 123 in detail. The studies are assessed with respect to the characteristics of their methodology and applications, in order to derive common trends and insights. Most case studies apply to middle-income countries and only focus on the supply of electricity in the residential sector. Furthermore, many of the studies are comparable regarding objectives and applied methods. Local energy autonomy is associated with high costs, leading to levelized costs of electricity of 0.41 $/kWh on average. By analysing the studies, many improvements for future studies could be identified: the studies lack an analysis of the impact of autonomous energy systems on surrounding energy systems. In addition, the robust design of autonomous energy systems requires higher time resolutions and extreme conditions. Future research should also develop methodologies to consider local stakeholders and their preferences for energy systems.

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Section: Methodologies and Modelsmentioning

confidence: 99%

Section: Target Criterionmentioning

confidence: 99%

Reviewing energy system modelling of decentralized energy autonomy

Weinand

Scheller

McKenna

2020

Energy

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“… [19] demonstrated the control technique for enhancing the stable operation of distributed generation units within a microgrid. In order to achieve optimal energy management [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] , one of the core performance requirements of smart microgrid is two-way communication between the energy consumer end and the energy source operator end. Data acquisition systems for performance analysis and fault detection, online monitoring and control are usually found in large power systems because complex monitoring systems and relatively high costs make those solutions less practical for micro and mini-grid power generation clients [28] , [29] , [30] , [31] , [32] , [33] , [34] .…”

Section: Introductionmentioning

confidence: 99%

Internet of things based smart energy management in a vanadium redox flow battery storage integrated bio-solar microgrid

Samanta

Bhattacharjee

Pramanik

et al. 2020

Journal of Energy Storage

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Highlights First time the solar-biogas-VRFB storage integrated IoT based smart microgrid is implemented. Optimized energy management has been demonstrated for the local community. Raspberry-Pi based low cost smart communication platform is used to monitor and control microgrid operation in real time. Available solar PV power is effectively utilized even during sudden grid outage at day time. 24 × 7 energy security is ensured by intelligent scheduling of RE sources and storage.

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“…[30][31][32][33] HRESs in a remote community is recommended compared to a grid extension, as indicated by the reference, 34 the power losses are significantly reduced, even if demand increases annually. 35 Recent studies related to optimization of HRES, focus on the complementarity of PV and WT technologies, the analyzes are increasingly complex. 36 In some cases, simulation results and sensitivity analysis have shown that in PV-WT-DG the efficiency is higher than PV-DG system.…”

Section: Introductionmentioning

confidence: 99%

“…Several authors recommend it, in order to ensure continuity and reliability of the power supply 30‐33 . HRESs in a remote community is recommended compared to a grid extension, as indicated by the reference, 34 the power losses are significantly reduced, even if demand increases annually 35 . Recent studies related to optimization of HRES, focus on the complementarity of PV and WT technologies, the analyzes are increasingly complex 36 .…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic evaluation of renewable energy systems combining PV‐WT‐HKT sources: Effects of energy management under Ecuadorian conditions

Arévalo

Benavides

Lata‐García

2020

Int Trans Electr Energ Syst

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Sustainable development reached a new energy paradigm in recent decades, by promoting renewable generation technologies. The present study performs a techno-economic analysis of several hybrid energy systems that combine wind generators, photovoltaic systems, hydrokinetic turbines, lead acid batteries, and diesel generators in southern Ecuador. From real data, the sizing optimization of each renewable system was done under three proposed energy control algorithms. Then, the combinations of renewable systems are compared based on costs, energy, and environment. Additionally, this study includes several sensitivity analyzes varying the cost of the components and fuel, minimum state of charge in batteries, scaled electric load and time step to better understand the impact caused in each renewable hybrid system. The results show that a system composed of three renewable sources under load following and cycle charging energy controls, is cheaper and less polluting with respect to any combination of sources proposed. In addition to this, the systems that include photovoltaic systems and diesel generators present lower cost, 0.36 US$/kWh in the best case. To reduce the operability of the diesel List of Symbols and Abbreviations: P PV , output power of a photovoltaic system (kW); Y PV , rated capacity of the photovoltaic array (kW); f PV , photovoltaic derating factor (%); G T , incident solar radiation on the photovoltaic array (kW/m 2); G T,STC , incident solar radiation at standard test conditions (kW/m 2); α P , power coefficient of photovoltaic array (%/ C); T c , photovoltaic cell temperature (C); T c,STC , photovoltaic cell temperature at standard test conditions (C); η mp , maximum power point efficiency of photovoltaic array at standard test conditions (%); τ, solar transmittance of the photovoltaic array (%); α, solar absorptance of the photovoltaic array (%); P WT , output power of wind turbine (kW); v cin , cut in wind speed (m/s); v count , cut off wind speed (m/s); v r , rated wind speed (m/s); P rated , nominal power limit of wind turbine (kW); ρ air , air density (kg/m 3); R, rotor radius of wind turbine (m); C p , power coefficient of wind turbine (%); v i , wind speed (m/s); P HKT , hydrokinetic turbine electrical power output (kW); ρ w , water density (kg/m 3); C p,H , hydrokinetic turbine performance coefficient (%); η HKT , combined hydrokinetic turbine-generator efficiency (%); A, hydrokinetic turbine sweep area (m 2); v, river speed (m/s); t, time (s); E HKT , energy of hydrokinetic turbine (kWh); P DG , diesel generator electrical power output (kW); η DG , diesel generator efficiency (%); E batt (t), energy stored in batteries over time t (kWh); E batt (t − 1), energy stored in batteries over time (t − 1) (kWh); σ, battery self-discharge rate; η batt , efficiency of battery during the charging process (%); P Linv (t), power of bidirectional converter in alternating current (kW); P inv (t), power of bidirectional converter in direct current (kW); η inv , efficiency of bidirectional converter (%); C...

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Integrated assessment of a sustainable microgrid for a remote village in hilly region

Cited by 111 publications

References 158 publications

Reviewing energy system modelling of decentralized energy autonomy

Reviewing energy system modelling of decentralized energy autonomy

Internet of things based smart energy management in a vanadium redox flow battery storage integrated bio-solar microgrid

Techno‐economic evaluation of renewable energy systems combining PV‐WT‐HKT sources: Effects of energy management under Ecuadorian conditions

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