Techno‐economic analysis of solar grid‐based virtual power plant in Indian power sector: A case study

Sharma, Harpreet; Mishra, Sachin

doi:10.1002/2050-7038.12177

Cited by 22 publications

(10 citation statements)

References 41 publications

(54 reference statements)

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“…Many research works are available with optimal scheduling of generation in the VPP network [44][45][46]. The grid integration of the VPP was presented with different approaches [54].…”

Section: Stochastic Adaptive Robust Optimization Methodsmentioning

confidence: 99%

Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework

et al. 2021

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Renewable energy sources prevail as a clean energy source and their penetration in the power sector is increasing day by day due to the growing concern for climate action. However, the intermittent nature of the renewable energy based-power generation questions the grid security, especially when the utilized source is solar radiation or wind flow. The intermittency of the renewable generation can be met by the integration of distributed energy resources. The virtual power plant (VPP) is a new concept which aggregates the capacities of various distributed energy resources, handles controllable and uncontrollable loads, integrates storage devices and empowers participation as an individual power plant in the electricity market. The VPP as an energy management system (EMS) should optimally dispatch the power to its consumers. This research work is proposed to analyze the optimal scheduling of generation in VPP for the day-ahead market framework using the beetle antenna search (BAS) algorithm under various scenarios. A case study is considered for this analysis in which the constituting energy resources include a photovoltaic solar panel (PV), micro-turbine (MT), wind turbine (WT), fuel cell (FC), battery energy storage system (BESS) and controllable loads. The real-time hourly load curves are considered in this work. Three different scenarios are considered for the optimal dispatch of generation in the VPP to analyze the performance of the proposed technique. The uncertainties of the solar irradiation and the wind speed are modeled using the beta distribution method and Weibull distribution method, respectively. The performance of the proposed method is compared with other evolutionary algorithms such as particle swarm optimization (PSO) and the genetic algorithm (GA). Among these above-mentioned algorithms, the proposed BAS algorithm shows the best scheduling with the minimum operating cost of generation.

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“…Many research works are available with optimal scheduling of generation in the VPP network [44][45][46]. The grid integration of the VPP was presented with different approaches [54].…”

Section: Stochastic Adaptive Robust Optimization Methodsmentioning

confidence: 99%

Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework

et al. 2021

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“…Thus, the current literature analyzes the real cases of VPPs. The international examples are in, e.g., United Kingdom [6], Denmark [7], Ireland [8], Greece [9], Germany [10], China [11], India [12], Australia [13], and South Korea [14]. The range of VPP functioning is wide.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

et al. 2021

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One of the recent trends that concern renewable energy sources and energy storage systems is the concept of virtual power plants (VPP). The majority of research now focuses on analyzing case studies of VPP in different issues. This article presents the investigation that is based on a real VPP. That VPP operates in Poland and consists of hydropower plants (HPP), as well as energy storage systems (ESS). For specific analysis, cluster analysis, as a representative technique of data mining, was selected for power quality (PQ) issues. The used data represents 26 weeks of PQ multipoint synchronic measurements for 5 related to VPP points. The investigation discusses different input databases for cluster analysis. Moreover, as an extension to using classical PQ parameters as an input, the application of the global index was proposed. This enables the reduction of the size of the input database with maintaining the data features for cluster analysis. Moreover, the problem of the optimal number of cluster selection is discussed. Finally, the assessment of clustering results was performed to assess the VPP impact on PQ level.

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“…Sunlight is the largest available renewable resource and has a very high potential for electricity generation due to its distributed nature . Electricity production through photovoltaic (PV) conversion has gained major interest in the past decade due to lowering cost of solar panels coupled with increasing awareness on global warming . In addition, the advancements in power electronics have also aided the PV growth .…”

Section: Introductionmentioning

confidence: 99%

Analysis on inverter selection for domestic rooftop solar photovoltaic system deployment

Ali

Khan

2020

Int Trans Electr Energ Syst

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Summary Partial shading is a common occurrence in residential and commercial photovoltaic (PV) installations. It causes mismatch losses, particularly in string and central inverter‐based systems, leading to output power loss and in turn lower performance ratio under partial shading conditions. The choice of string configuration itself is critical in lowering mismatch losses and the levelized energy cost. While a range of commercial inverters with different string configurations and prices are available, many standard string topologies are not optimum for common settings under various shading scenarios. Therefore, in this article, we evaluate various string configurations attached to state‐of‐the‐art commercial inverters widely used in the industry from both mismatch loss and cost perspective. We quantify the impact of various shading scenarios on multiple inverter configurations to ascertain the relative performance of PV systems under symmetrical shading as well as random shading in field settings. For multiple PV system configurations (on a single rooftop), the mismatch loss varied up to 2.3% and 6% under symmetrical shading and field settings, respectively. The levelized cost of electricity also varies from 0.062$/kWh to 0.041$/kWh and is dependent on the type of inverter and string configurations.

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Techno‐economic analysis of solar grid‐based virtual power plant in Indian power sector: A case study

Cited by 22 publications

References 41 publications

Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework

Optimal Dispatch Strategy of Virtual Power Plant for Day-Ahead Market Framework

A Case Study on Data Mining Application in a Virtual Power Plant: Cluster Analysis of Power Quality Measurements

Analysis on inverter selection for domestic rooftop solar photovoltaic system deployment

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