Interactive game scheduling method for park integrated energy system group and power grid

Abstract

An interactive game scheduling method for a park integrated energy system group and a power grid belongs to the technical field of integrated energy system operation and control, and is characterizedby comprising the following steps: (1) establishing output models and cost models of a conventional generator set, a distributed power supply, energy storage and other equipment; 2, establishing a park comprehensive energy system group and power grid collaborative optimization control framework; 3, establishing a power grid and park integrated energy system group game structure; (4) setting a threshold value, and judging whether an interactive game is performed or not; 5, establishing a park comprehensive energy system group and power grid interactive game model based on master-slave game; (6)establishing an interactive game scheduling Matlab platform of the park comprehensive energy system group and the power grid to solve an interactive process; and (7) performing simulation analysis onthe effectiveness of the interactive game scheduling strategy of the hierarchically coordinated park comprehensive energy system group and the power grid, and verifying that the interactive game scheduling strategy of the hierarchically coordinated park comprehensive energy system group and the power grid can realize stable and economic operation of the park comprehensive energy system group andthe power grid. According to the interactive game scheduling method adopted by the invention, cooperative optimization operation of the park comprehensive energy system group and the power grid can beeffectively and reliably carried out, and a technical basis and a practical method are provided for stable operation of the park comprehensive energy system group and the power grid.

Description

technical field [0001] The present invention relates to an interactive game dispatching method for park comprehensive energy system groups and power grids, in particular to an interactive game scheduling method for park comprehensive energy system groups and power grids based on layered collaborative control and master-slave game, which belongs to the operation of comprehensive energy systems and control technology. Background technique [0002] The large-scale grid-connection of distributed power sources makes the original radial network of single-end power supply evolve into a complex network of multi-terminal power supply. The complexity of relay protection is greatly increased; at the same time, the output of renewable distributed power has strong randomness and volatility, which will damage the power balance of the power grid, thus affecting the voltage and frequency stability in the system. At present, the integrated energy system group is an effective way to solve th...

AI Technical Summary

Problems solved by technology

[0004] Some experts have established an optimal dispatching model for multi-park integrated energy systems that considers power interaction and coordinated output between different parks, taking into account the power interaction between parks and between parks and distribution networks, but the above research will Roughly, the interactive power between the park and the distribution network is included in the minimum operating cost objective function, which is a unified scheduling method, and the collaborative interaction between the power grid and MCIES is not obvious

[0005] At present, there are three issues to be further explored: ①The optimal scheduling of MCIES seldom considers the influence of multi-energy collaborative interaction between parks on the optimal operation of multi-parks and the impact of distribution network on MCIES; ②Modeling multi-parks and power grids as different stakeholders , but when solving, the active distribution network economy is optimal first, and then the "secondary coordination" of the multi-park integrated energy system is optimal, and parallel solutions for multi-microgrids and power grids cannot be achieved

③The stakeholders considered in MCIES multi-agent decentralized coordination scheduling are not comprehensive, and the distribution of benefits between the power grid and the park is not considered

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