Multi-strategy coordinated power grid optimization operation method based on response priority

Abstract

The invention discloses a multi-strategy coordinated power grid optimization operation method based on response priorities. The multi-strategy coordinated power grid optimization operation method comprises the steps of: S1, acquiring a power grid daily basic load curve, predicting total energy required for charging an electric vehicle, and acquiring peak/flat/valley electricity price information; S2, establishing orderly charging optimization control models including a multi-target optimization model and an orderly charging control information base; S3, calculating electric vehicle charging start time and number of access allowed electric vehicles, and issuing relevant information to electric vehicle users; S4, and judging whether the electric vehicle is allowed to charge immediately after the user receives a notification, so that fluctuations of an output building integral load curve are greatly reduced, the optimized load region is stable, and the peak and valley difference is significantly reduced.

Description

technical field [0001] The invention relates to the technical field of grid operation, in particular to a grid optimization operation method based on response priority and multi-strategy coordination. Background technique [0002] Energy conservation and emission reduction is a national strategic policy, and it is the only way to develop a low-carbon economy and maintain sustainable development of the national economy. As the power source of the national economy and the core element of the national energy strategy, electricity is the lifeblood of the national economy and the key areas and main force of energy conservation and emission reduction. With the sustained and rapid development of my country's economy and the increasingly prominent structural contradictions, the peak load of the power grid continues to rise, and the peak-to-valley difference of the power grid shows a trend of gradually expanding. Safe and stable operation of the power system. In particular, public b...

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Problems solved by technology

However, research on flexible and schedulable resources such as air-conditioning loads, lighting loads, electric vehicles, distributed energy, and energy storage in public buildings focuses on air-conditioning load forecasting, unilateral control of lighting, and research on charging and discharging models for electric vehicles. The research on the optimization control technology of flexible resources in the scenario is relatively single, mainly focusing on the improvement of building energy efficiency, less consideration is given to multi-objective scenarios such as the interaction between building and power grid demand, lack of research on complementary characteristics between adjustable resources, and less analysis of optimal combination models

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