Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution

Ameri, Ahmed Al; Aouchenni, Ounissa; Nichita, Cristian; Aouzellag, Djamal

doi:10.3390/en10040463

Cited by 22 publications

(8 citation statements)

References 26 publications

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“…Increasing the penetration of wind energies in the power system can change the total power system loss. 62,63 Therefore, to reduce power loss, the FACTS devices can be potentially utilized. Xu et al 46 exploited the power loss cost minimization in its objective function.…”

Section: Power Loss Costmentioning

confidence: 99%

Review of FACTS technologies and applications for accelerating penetration of wind energies in the power system

Ghadimi

Gholami

Miveh

2023

Energy Science & Engineering

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Conventional energy resource problems made power system planners apply more renewable energy sources (RESs) in the power system. RESs have a significant impact on fulfilling the world's energy demand, protecting the environment at least in the exploration phase, and providing energy reliability as well as security for the new generation of power grids. In this regard, wind power generation is considered a promising solution. However, by increasing the share of wind power generation units in the power sector, some challenges, such as voltage problems, transient stability, increasing system losses, and line congestions can occur. Consequently, an alternative solution is required to accelerate wind power units' connections to the grid by preventing the problems caused by the penetration of wind power. In this regard, Flexible Alternating Current Transmission Systems (FACTS) devices can play an important role while they can improve power grid dynamic performance. This paper presents a review of the optimization techniques applied to accelerate the penetration of wind energy by exploiting FACTS devices. The topic identifies the objectives and optimization formulations, as well as schemes and models available in the published literature. This survey gives noteworthy insights to the researchers to cover available solutions in these regards. The literature in the field is summarized in different aspects, such as FACTS technology, objective functions, constraints, optimization methods, planning or operation purposes, and load flow types. At each aspect, a comparison is derived to recognize the most important issues. The result of the review is the finding of future work and contributions which can be done in the field of wind energy integration acceleration using FACTS devices and the output of the paper can be used as a guide for researchers to find a new path for research in this area.

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Section: Power Loss Costmentioning

confidence: 99%

Review of FACTS technologies and applications for accelerating penetration of wind energies in the power system

Ghadimi

Gholami

Miveh

2023

Energy Science & Engineering

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“…of an OWF are not rated loaded for the most of the time of a year. Using Weibull distribution for power loss of a wind farm achieved more accurate results in Reference [32]. To have more accurate values in estimating losses of each system components, this study therefore considers the Weibull probability distribution function for wind speed.…”

Section: Annual Energy Yield and Electrical Losses Estimationmentioning

confidence: 99%

Impact of Electrical Topology, Capacity Factor and Line Length on Economic Performance of Offshore Wind Investments

2019

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In this study, an economic performance assessment of offshore wind investments is investigated through electrical topology, capacity factor and line length. First, annual energy yield production and electrical system losses for AC and DC offshore wind configurations are estimated by using Weibull probability distributions of wind speed. A cost model for calculating core energy economic metrics for offshore wind environment is developed by using a discount cash flow analysis. A case study is then conducted for a projected offshore wind farm (OWF) rated 100 MW and 300 MW sizes situated in the Aegean sea. Finally, a sensitivity analysis is performed for AC and DC OWFs with three different capacity factors (e.g., 45%, 55% and 60%) and various transmission line lengths ranging from 20 km to 120 km. The OWF is found to be economically viable for both AC and DC configurations with the estimated levelized cost of electricity (LCOE) ranging from 88.34 $/MWh to 113.76 $/MWh and from 97.61 $/MWh to 126.60 $/MWh, respectively. LCOEs for both options slightly change even though the wind farm size was increased three-fold. The sensitivity analysis reveals that, for further offshore locations with higher capacity factors, the superiority of AC configuration over the DC option in terms of LCOE reduces while the advantage of DC configuration over the AC option in terms of electrical losses is significant. Losses in the AC and DC configurations range from 3.75% to 5.86% and 3.75% to 5.34%, respectively, while LCOEs vary between 59.90 $/MWh and 113.76 $/MWh for the AC configuration and 66.21 $/MWh and 124.15 $/MWh for the DC configuration. Capacity factor was found to be more sensitive in LCOE estimation compared to transmission line length while line length is more sensitive in losses estimation compared to capacity factor.

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“…Depending on its location, wind power generation may bring power losses or benefits. To calculate the losses, it is necessary to know the wind power production profile and load profile [27,28]. Wind power production profile should be determined based on the wind speed measurements on site and the power curves of the selected wind turbines [29].…”

Section: Exploitation Costsmentioning

confidence: 99%

Mathematical model for the optimal determination of voltage level and PCC for large wind farms connection to transmission network

Đorđević

Đurišić

2019

IET Renewable Power Generation

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This study presents a practical mathematical model for the determination of the optimal point of connection of large wind farms to the transmission network. A comparative analysis of costs of connecting wind farms to the transmission network is given, about their distance from the point of common coupling (PCC). Calculations have been made for different installed capacity of the wind farm and for different voltage levels of PCC. Based on these calculations, there have been defined competitive distances of a wind farm with a certain power from the network of different voltage levels (e.g. 110 and 220 kV) for which the connection costs are equal. Such calculations are widely applicable and can be used by transmission system operators and wind power plant developers to optimise and plan the connection of a wind farm to the transmission network.

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Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution

Cited by 22 publications

References 26 publications

Review of FACTS technologies and applications for accelerating penetration of wind energies in the power system

Review of FACTS technologies and applications for accelerating penetration of wind energies in the power system

Impact of Electrical Topology, Capacity Factor and Line Length on Economic Performance of Offshore Wind Investments

Mathematical model for the optimal determination of voltage level and PCC for large wind farms connection to transmission network

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