Operation Strategy of Central Air Conditioning Virtual Power Plant Based on Risk Measurement Method

Virtual power plant is an integrated technology and operation mode to realize air-conditioning load participating in system operation, further benefitting low carbon renewable energy applications. However, the principle of multi-system coupling central poses a challenge normal regulation. Besides, uncertainties demand-side resources bring risks virtual plant. In this paper, regulation characteristics air conditioning are obtained by experiment, while potential quantified thermodynamic model, resulting could be transformed into unit model. Then dynamic capacity optimization strategy formulated based on risk measurement theory, generation task decomposition also equal increase rate criterion, thus forming two-tier Finally, illustrative case study constructed quantitatively analyze effectiveness The practicability proposed verified benefit