Coordinative optimization unit combination method of energy

Abstract

The invention relates to a coordinative optimization unit combination method of energy. The energy comprises wind power, thermal power and pumped storage energy. The coordinative optimization unit combination method of the energy includes following steps: confirming a wind power output confidence interval; confirming running parameters and coal consumption characteristics of a thermal power generating unit and running parameters and running characteristics of a pumped energy storage unit; confirming combination object functions and constraint conditions of a wind power, thermal power and pumped storage energy joint optimization unit; confirming mixed integer nonlinear programming problems; confirming a starting and stopping plan of the wind power, thermal power and pumped storage energy joint optimization unit in future 24 hours. The coordinative optimization unit combination method of the energy improves unit combination reliability, guarantees that a system has enough regulation ability in real-time running so as to balance power imbalance caused by power fluctuation of wind, promotes consumption and absorption of the wind power, achieves coordinative optimization running of the multivariate energy, and thereby guarantees safety and economical efficiency of running of a power grid.

Description

Technical field: [0001] The invention relates to an energy coordination and optimization unit combination method, and more particularly relates to a wind power, thermal power and pumped storage energy coordination and optimization unit combination method. Background technique: [0002] Recently, environmental problems and the continuous consumption of non-renewable resources have promoted the development of clean energy such as wind power. The uncertainty of large-scale intermittent energy output poses new challenges to the safe and economic operation of the power grid. In order to ensure the safe operation of the power grid and promote the consumption of intermittent energy, the system needs to have sufficient peak-shaving capability to ensure real-time power balance. Traditional unit combinations mostly focus on the joint optimization of two types of power sources, and many studies are based on forecasted wind power to study the complementary mechanism between multiple sou...

AI Technical Summary

Problems solved by technology

Uncertain set method, an uncertain set represented by a random parameter represents the possible output of wind power, which is convenient for modeling but complicated to solve

[0004] Considering that pumped storage is a fast-adjusting flexible power source, suitable for peak-shaving and valley-filling, multi-energy joint optimization can give full play to the advantages of various energy sources, and the unit combination method for joint optimization of wind power, thermal power, and pumped storage is not yet available. immature

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