Method for optimizing and designing island wind electricity generator, diesel engine and storage battery electricity generation power based on improved particle swarm

Abstract

The invention discloses a method for optimizing and designing island wind electricity generator, diesel engine and storage battery electricity generation power based on an improved particle swarm. The method comprises the following steps of: acquiring island wind resource data at an average wind speed per hour as a unit; acquiring loading data corresponding to the wind speed at the same time at an average load per hour as a unit; determining an island wind, diesel and storage load electricity generation system; linearizing a wind-speed-power curve of the wind turbine; improving a particle swarm optimization (PSO) algorithm; adopting a unit watt cost calculation model; adopting a power loss rate LLP as a ratio of the system power failure time to the estimation period time; output a result so as to obtain the number of wind electricity generators and diesel engines as well as the capacitance of a storage battery when the electricity cost is lowest, and forecasting the unit watt cost. Inthe method, the improved particle swarm algorithm is applied to power supply combined by the wind electricity generator, the diesel engine and the storage battery on the island; according to an energy optimization and scheduling method, the electricity expense is lowest under the condition of meeting the electricity requirement. The method has the advantages of simpleness, high efficiency and accuracy of the obtained optimized result.

Description

Technical field [0001] The invention relates to a unit selection method that uses wind power and diesel engines to supply power to the area in an isolated island that is not connected to a large power grid, and particularly uses an improved particle swarm optimization method to optimize the selection of wind power units, diesel units and battery capacity The design method belongs to the field of energy power engineering and electrical engineering. Background technique [0002] As of 2006, about one-third of the world’s people lived in areas where there was no power grid, and a considerable part of them lived in island areas. Most of these areas used diesel engines to generate electricity. With the shortage of oil and the increase in oil prices, the unfavorable factors of the rapid increase in the cost of power supply on the islands and the decrease in reliability coexist, which severely restricts the economic development of these areas and affects the daily life of local resident...

AI Technical Summary

Problems solved by technology

[0003] In the power allocation selection of island wind-diesel-storage hybrid power generation, the average meteorological data (wind speed, wind direction) and the annual average load are often used, and the wind turbine, diesel engine power and battery capacity are designed according to the method of empirical estimation. The result is not necessarily the result of optimization, resulting in waste of investment. In addition, unreasonable energy scheduling leads to high unit cost of electricity, and some even exceed pure diesel power generation, so that in the design of island power sources, hesitant to choose the type of power source, and some simply choose Conventional diesel engine power generation, resulting in high cost, poor power supply reliability, and environmental pollution

[0004] According to the applicant's knowledge, there is currently no patent on the power optimization design of the island's wind-diesel-storage hybrid power generation process

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