Microgrid energy management method based on two-stage robust optimization

Abstract

The invention relates to a microgrid energy management method based on two-stage robust optimization, and the method comprises the following steps: constructing a microgrid electrical equipment basicmodel; constructing an uncertainty set for uncertain variables; constructing a microgrid two-stage robust optimization model: taking 0 / 1 variables and a continuous variable and an uncertain variable as a first-stage optimization variable and a second-stage optimization variable, taking the minimum operation cost of a microgrid as an optimization target, taking the operation restriction of all equipment and the uncertainty set as the constraints, and building a two-stage robust optimization model of the microgrid; solving the two-stage robust optimization model: decomposing the two-stage modelinto a main problem and a subproblem, and obtaining the dual problems of the problems through employing the strong dual theory and the linearization theory; employing a mixed integral linear planningmethod for the alternate solving of the dual problems of the main problem and the subproblem.

Description

technical field [0001] The invention discloses a microgrid energy management method based on two-stage robust optimization, which belongs to the field of distributed power generation and microgrid technology. Background technique [0002] With the depletion of traditional fossil energy and the aggravation of environmental pollution, the development and utilization of renewable energy to achieve sustainable economic development has become the consensus of governments of all countries. As an effective carrier for efficient use of renewable energy, microgrid technology has been vigorously developed in recent years. [0003] However, the microgrid is faced with many uncertainties in the operation process, such as the output of renewable distributed power sources such as photovoltaics and wind turbines, the local load power in the microgrid, and the real-time electricity price in the market. The operation brings new challenges. How to design a reasonable and effective energy man...

AI Technical Summary

Problems solved by technology

[0005] 1) In the actual operation of the microgrid, the probability curves of uncertain variables such as load power and renewable distributed power output are difficult to obtain accurately, resulting in inaccurate final models;

[0006] 2) A large number of scenes are used to describe the uncertain variable information. Before calculation, scene reduction technology needs to be used to reasonably screen the scenes, which increases the complexity of the algorithm and increases the amount of calculation.

The robust optimization methods currently used in microgrid energy management either cannot flexibly adjust the conservatism of the scheduling scheme, or cannot determine the worst scenario that the system may face while optimizing 0 / 1 variables and continuous variables

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