Virtual power plant double-layer optimization scheduling method considering demand side response

Abstract

The invention discloses a virtual power plant double-layer optimization scheduling method considering demand side response. A gas turbine unit and an energy storage equipment unit in the upper-layer model are used for compensating the deviation between the wind-solar prediction output and the actual output, and optimization is carried out by taking the maximum income of the upper-layer model as atarget; the upper-layer optimized output is transmitted to the lower layer; a demand side response unit and a thermal power generating unit are established at the lower layer to optimize the load; andoptimization is performed by taking the maximum economic benefit as a target, an optimal distribution output curve is obtained by optimizing the output of the thermal power generating unit, and a CPLEX solver and a YALMIP toolbox in MATLAB 2016a software are called to respectively solve the upper-layer model and the lower-layer model. According to the method, the virtual power plant double-layeroptimization model of the gas turbine, the energy storage equipment, the demand side response and the thermal power generating unit is established, the influence of the wind-solar prediction error onthe system income is considered, and the model can achieve virtual power plant income maximization.

Description

technical field [0001] The invention belongs to the technical field of coordinated optimization scheduling of virtual power plants, and in particular relates to a double-layer optimal scheduling method of virtual power plants considering demand-side response. Background technique [0002] With the shortage of global fossil energy and the increasingly serious problem of environmental pollution, considering the advantages of low pollution and renewable energy using new energy sources such as wind energy and solar energy, in recent years, domestic and foreign researchers have aimed at the energy supply side in the field of new energy. Although this type of energy has the characteristics of low-carbon and environmental protection, wind power and photovoltaic power generation have the characteristics of intermittent, fluctuating, and random, which makes the output power of distributed energy sources uncertain, resulting in poor reliability and stability of power supply. With the ...

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Problems solved by technology

[0003] Considering the uncertainty of wind and wind output, the existing optimal dispatch research shows that using energy storage equipment to stabilize the uncertainty of wind and wind output has a good effect, which can effectively improve the economics of virtual power plants, and mainly based on the minimum economic cost or the maximum benefit unit. Targets are optimized. At present, most of the optimal scheduling considers the aggregation of renewable energy and energy storage equipment. If the combination of traditional energy units is not considered, it is not conducive to the application of actual projects; It is of great research significance to increase the income of virtual power plants

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