Factors Affecting the Power-Efficient Operation of Wind-Diesel Complexes

Factors Affecting the Power-Efficient Operation of Wind-Diesel Complexes

Dmitry Chernov (Moscow Power Engineering Institute, Russia), Galina Deryugina (Moscow Power Engineering Institute, Russia), Nikita Karpov (Moscow Power Engineering Institute, Russia), Mikhail Tyagunov (Moscow Power Engineering Institute, Russia) and Haiyang He (Moscow Power Engineering Institute, Russia)
Copyright: © 2019 |Pages: 38
DOI: 10.4018/978-1-5225-9179-5.ch010


The purpose of this chapter is to compare the design and operational parameters of energy efficiency (power generation, capacity utilization factor) of a wind power plant (WPP) in order to improve the accuracy of the design parameters estimation at the preliminary design stage. Recommendations have been given for accounting different factors influencing on energy efficiency and economic indicators of a WPP. In this chapter, the research is carried out on the example of existing wind-diesel complexes (WDC) in the settlement of Ust-Kamchatsk (Kamchatka Krai), Novikovo (Sakhalin Oblast), and projected WDC on Popova Island (Vladivostok city district).
Chapter Preview


One of the significant factors in the development of distributed energy systems with renewable energy sources (RES) is to determine the mutual influence of various parameters of generating, transmitting and consuming power units on the local power system mode (or load node) (Afonin et al, 2012; Deryugina et al, 2012; Kovalenko et al, 2014).

At present, there is a rather large amount of calculated data on the efficiency of the use of power plants based on RES as a part of the generating sources of local power systems (Scott et al, 1984; Stiller et al, 1983; Katiraei et al, 2007). However, the design and operation of wind-diesel complexes (WDC) for the conditions of Russia have been poorly studied and almost not investigated, since only in recent years several WDC have been built, for which there is little experience of their operation (Gevorgian et al, 1999; IRENA, 2017; Gsanger et al, 2017). Technical solutions in the design and operation of the WDC currently do not have a unified methodology for assessing the technical and economic efficiency of their use. At the preliminary stage of design, various assumptions and simplifications are adopted in modeling the wind resource. Design errors can be detected only during the operation stage. There are many different influencing factors, the neglect of which leads to significant discrepancies in the design and operational parameters of the WDC energy efficiency.

Influencing factors can be attributed to 3 groups:

  • Inaccuracies in assessing the wind potential of the area - this is influenced by the choice of the information source and the methodology for modeling wind speed at the location of wind power plant at the hub height;

  • Assumptions and neglection of various factors in estimation of design energy output;

  • Not taking into account of limitations imposed by the operator of the local power system.


Sources Of Weather Information For The Site Of Wpp “Ust-Kamchatsk”

The data of the met mast (wind-measuring complex, WMC) installed on the site, previously chosen for the location of the wind power plant, was used as the main information source. The WMC data are compared with the archive long-term data of the nearest ground-based meteostation (MS) “Ust-Kamchatsk” from the “Reliable Prognosis” website (n.d.).

Key Terms in this Chapter

Wind-Diesel Complex: A power plant consisting of wind power plant and diesel power plant.

Wind-Measuring Complex: A temporary construction, which is a vertically arranged mast, with a set of measuring equipment installed on it.

Wind Power Plant: A power plant converting wind energy into electrical energy.

Wind Shear Profile: A wind velocity variation depending on height.

Distributed Power System: A complex of power plants located near electric power consumers and unconnected with unified energy system.

Specific Fuel Consumption: A value equal to the ratio of the fuel rate to the power produced.

Capacity Utilization Factor: A coefficient equal to the ratio of the energy output to the installed capacity for a define time interval.

Aerological Station: A surface location from which upper-air observations are made.

Air Density: The mass per unit volume of Earth's atmosphere.

Turbulence Intensity: A value equal to the ratio of the root-mean-square deviation to the average wind speed for specified period (usually 10 minute).

Complete Chapter List

Search this Book: