Evaluation of battery‐renewable hybrid stations in small‐isolated systems

Psarros, Georgios N.; Papathanassiou, Stavros A.

doi:10.1049/iet-rpg.2019.0212

Cited by 18 publications

(13 citation statements)

References 36 publications

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“…Some scholars focus on the evaluation of a single indicator to establish an indicator system. For example, Psarros and Georgios N use the levelized cost of energy as the only primary evaluation index; a comprehensive evaluation index is developed to evaluate the potential of the energy system, which integrates all the technical, economic, and environmental performance indicators [3,4]. A single indicator focuses on one aspect of the problem, and results are one-sided.…”

Section: Evaluation Indicator Systemmentioning

confidence: 99%

Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

Peng

2020

Mathematical Problems in Engineering

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Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

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Section: Evaluation Indicator Systemmentioning

confidence: 99%

Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

Peng

2020

Mathematical Problems in Engineering

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“…Tawfiq et al [13] performed a comparative review of wind energy conversion system topologies and converters. Psarros et al [14] studied and shed light on the operation of battery-based hybrid power stations in small island systems and their investment feasibility. Kumar et al [15] proposed an algorithm based on quasi-oppositional harmony search.…”

Section: India Ranks Fourth On the Renewable Energymentioning

confidence: 99%

Ant lion algorithm for optimized controller gains for power quality enrichment of off-grid wind power harnessing units

Kodakkal¹,

Rajagopal

Raju

et al. 2020

Chin. J. Electr. Eng.

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The proposed system uses an algorithm that works on the admittance of the system, for estimating the reference values of generated currents for an off-grid wind power harnessing unit (WPHU). The controller controls the voltage and maintains the frequency within the limits while working with both linear and nonlinear loads for varying wind speeds. The admittance algorithm is simple and easy to implement and works very efficiently to generate the triggering signals for the controller of the WPHU. The wind power harnessing unit comprising of a squirrel cage induction generator, a star-delta transformer, a battery storage system and the control unit are modeled using Matlab/Simulink R2019. An isolated transformer with a star-delta configuration connects the load and the generator circuit with the controller to reduce the dc bus voltage and mitigate current in the neutral line. The response of the system during the dynamic loading depends on the best possible compensator proportional-integral (PI) gains. The antlion optimization algorithm is compared with particle swarm optimization and grey wolf optimization and is found to have the advantages of good convergence, high efficiency and fast calculating speed. It is therefore used to extract the optimal values of frequency and voltage PI gains. The simulation results of the control algorithm for the WPHU are validated in a real-time environment in a dSpace1104 laboratory set up. This algorithm is proven to have a quick response, maintain the required frequency, suppress the current harmonics, regulate voltage, help in balancing the load and compensating for the neutral current.

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“…In [20], the contribution of non-conventional pumped-storage configurations such as variablespeed pumping and hydraulic short-circuit, have been examined in an attempt to reduce the scheduling cost and wind curtailment of an isolated power system considering the impact on CO 2 emissions. With the aid of virtual power plants, two further studies involved the presence of centrally managed battery energy storage (BES) facilities with diversified system characteristics under high-RES penetration conditions [21,22]. Finally, it is worth noting that the most common methods conducted to solve UC in indicative non-interconnected island power systems are the Benders decomposition technique [16], priority list schemes [23] and mixed-integer linear programming approach [24].…”

Section: Introductionmentioning

confidence: 99%

Increasing the Photovoltaic Hosting Capacity in Autonomous Grids and Microgrids via Enhanced Priority-List Schemes and Storage

Nikolaidis

Poullikkas

2021

Green Energy Sustain

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European Union has seen a rapid increase in renewable energy sources during the last decade. The variability and uncertainty caused by the increased penetrations of renewable generation must be properly considered in day-ahead unit commitment to retain the stable operation of conventional power plants. In this work, we present an enhanced method to determine the hosting capacity of photovoltaic energy in an autonomous grid. Based on optimal unit commitment schedules derived from priority list-schemes, we examine the potential of increasing the hosting capacity performing annual simulations for different scenarios in the presence of electricity storage. According to the obtained results, the application of storage eliminates the reliability expenses of load shedding and spinning reserve deficits. Hence, the actual hosting capacity is appropriately retrieved based on the renewable generation curtailment during each case study. However, sustainable solutions are achieved at higher penetration levels, reaching a near of 20% with respect to photovoltaic systems. The proposed solution could be efficiently utilized to determine the photovoltaic hosting capacity of microgrids in islanded or interconnected mode.

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Evaluation of battery‐renewable hybrid stations in small‐isolated systems

Cited by 18 publications

References 36 publications

Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

Ant lion algorithm for optimized controller gains for power quality enrichment of off-grid wind power harnessing units

Increasing the Photovoltaic Hosting Capacity in Autonomous Grids and Microgrids via Enhanced Priority-List Schemes and Storage

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