Process industry flexibility adjustable robust monitoring method considering production uncertainty

Abstract

The invention discloses a flow industry flexibility adjustable robust monitoring method considering production uncertainty, which comprises the following steps: constructing a multi-energy coupling model considering production constraints to monitor the state change in the operation process of an energy system of the flow industry, and further monitoring the system flexibility; the flexibility monitoring index corresponding to the frequency modulation service demand is extracted to monitor the flexibility regulation and control capability of the energy system, and a basis is provided for monitoring the flexibility capability of the energy system of the process industry and providing the potential cost of the flexibility service by an operator; on the basis of a data driving method, constructing an uncertain set of uncertain data of the process industry energy supply system so as to reduce the conservative degree of robust optimization; an adjustable robust optimization framework is proposed to solve the proposed flexibility monitoring index, robust dual transformation is carried out for a robust optimization formula containing an uncertain set, a conservative factor is introduced to adjust the conservative degree of robust optimization, and finally a deterministic optimization problem which can be solved by a commercial solver is transformed.

Description

technical field [0001] The invention relates to the field of industrial integrated energy systems, in particular to a flexible, adjustable and robust monitoring method for a process industry that takes into account production uncertainty. Background technique [0002] With the advancement of carbon neutrality goals and the increasing penetration of renewable energy in the power system, the need for power system flexibility has increased significantly in this change. In the future, as the proportion of coal-fired and gas-fired power plants gradually decreases, the proportion of resources that can be flexibly adjusted in the system will also decrease accordingly. In order to maintain the supply-demand balance and operational safety of the power system, more flexibility resources are required. Although the new large-scale energy storage power station can greatly improve the flexibility of the power system, there are still problems such as high cost, and it is difficult to appl...

AI Technical Summary

Problems solved by technology

However, it also faces the problem of excessive conservatism, and solving such problems has become a common idea of ​​the existing technology, for example: building a two-stage robust optimization model, introducing uncertain space constraints, and using adaptive algorithms to analyze the model. layer solution for a reasonable balance of system economy and conservatism

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