Abstract
The article deals with the problem of the negative impact of wind farms stochastic generation on power grid. One of the ways to reduce the stochasticity of the wind farms generation is their geographically distributed siting. A technique for sizing and distributed siting of wind farms from the standpoint of the influence on the variability of the total generated power is proposed. Modeling of wind power generation with hourly detailing is carried out using the developed Wind-MCA software based on data from archives of long-term observations of ground-based weather stations. The optimal distribution of wind turbines in potential locations is based on a genetic algorithm. The objective function is the coefficient of variation of the power generated by all wind farms in the sites under consideration, depending on the number of wind turbines in their composition. The genetic algorithm is implemented using the built-in MATLAB function. The proposed technique is applied to assess the capacity options and sites for wind farms in the Zabaykalsky Krai. The solution providing the minimum value of the coefficient of variation of the wind farms generated power and high value of the wind farms capacity utilization factor has been obtained.
Highlights
According to the Energy Strategy of Russia for the period up to 2035, implementation of the spatial priorities of the state energy policy assumes increasing stability and reliability of energy supply to macroregions with maximum, cost-effective use of local and renewable energy sources.Over the period from 2016 to 2020, the installed capacity of grid wind farms (WF) in Russia increased from 10.9 to 184 MW due to investments attracted under power supply agreements
When the share of WF in power generation is more than 15-20%, there is a danger of influencing the power system transient stability [1,2,3,4]
With a significant WF share in covering the electric power system load, the stochastic nature of generation can affect the transient stability of the system
Summary
According to the Energy Strategy of Russia for the period up to 2035, implementation of the spatial priorities of the state energy policy assumes increasing stability and reliability of energy supply to macroregions with maximum, cost-effective use of local and renewable energy sources. To cover possible sudden power fluctuations from WF, an increase in the operating reserve of the power system is required [5]. WF with the capacity of several tens or hundreds of MW connected to power grid at one point has a greater influence on the power balance of the system than a group of WF with the same total capacity distributed over a large territory. This is due to the fact that at any given time the wind regime on the vast territory is different. The article proposes a technique for sizing and distributed siting of WF from the standpoint of the influence on the variability of the total generated power
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