Power distribution network and micro-grid collaborative optimization method considering privacy protection

Abstract

The invention discloses a power distribution network and micro-grid collaborative optimization method considering privacy protection, and belongs to the technical field of electrical engineering. The method comprises the steps of establishing a centralized optimization model of the power distribution network and the micro-grid, decomposing the optimization model into a power distribution network main problem model and a micro-grid sub-problem model, and finally obtaining an optimal decision variable of the micro-grid and the power distribution network through iterative optimization solution of the power distribution network main problem model and the micro-grid sub-problem model. According to the collaborative optimization method disclosed by the invention, the improved Benders decomposition algorithm is applied to the collaborative optimization problem of the power distribution network and the micro-grid, and meanwhile, the privacy of the power distribution network and the micro-grid is protected.

Description

technical field [0001] The invention relates to the technical field of electrical engineering, in particular to a collaborative optimization method for a distribution network and a microgrid considering privacy protection. Background technique [0002] Microgrid refers to a small power generation and distribution network composed of distributed power sources, energy storage devices, loads and other components, and exchanges energy with adjacent distribution networks. In the power system, although the distribution network and the microgrid operate independently, there is energy exchange between them. If the distribution network and the micro-grid are coordinated and optimized, the total social welfare will be maximized, the total operating cost will be reduced, and a win-win effect will be achieved. However, due to privacy issues, microgrids are usually reluctant to disclose information (such as the cost function of distributed power plants, technical parameters of energy st...

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Problems solved by technology

However, due to privacy issues, microgrids are usually reluctant to disclose information (such as the cost function of distributed power plants, technical parameters of energy storage devices) to distribution network operators, which undoubtedly increases the risk of collaborative optimization of distribution networks and microgrids. difficulty

[0003] Because there are 0-1 variables in the distribution network optimization problem, such as the start-stop state variables of distributed power generation and the charging and discharging state variables of energy storage devices, the traditional Benders decomposition algorithm cannot be used for collaborative optimization of distribution network and microgrid

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