Multi-time-scale strengthening interval optimization method for unified power grid-distributed heat supply network system

Abstract

The invention provides a multi-time scale enhanced interval optimization method for a unified power grid-distributed heat supply network system, and relates to the field of electric heating interconnection system optimization scheduling. By establishing a cost minimum objective function and reasonable unit constraints and considering different current and water flow transmission speeds, a multi-time-scale optimization scheduling strategy is adopted, and the unit output condition is adjusted in real time. Meanwhile, the uncertainty caused by the fact that wind turbine generator set predicted output and electric heating load predicted values are easily influenced by factors such as weather is considered, an enhanced interval optimization method is adopted, the uncertainty is described in an interval number mode, an interval solution of a decision variable and an objective function can be obtained through calculation, an expected value, namely the optimal value of the solution interval, is calculated, and the optimal solution of the enhanced interval optimization model is obtained.

Description

technical field [0001] The invention relates to the technical field of optimal dispatching of electric heating interconnection systems, in particular to a multi-time scale enhanced interval optimization method for a unified power grid-distributed heating network system. Background technique [0002] As various countries pay more and more attention to energy security, ecological environment and other issues, the global energy development system is turning to a low-carbon energy system. The ultimate goal is to enter the era of sustainable energy and get rid of the heavy dependence on fossil energy with renewable energy. However, the rapid development of wind power in the "Three North" region has also encountered huge challenges. How to avoid the problem of wind power consumption from becoming a constraint on the development of new energy again is a topic that must be solved on the road to high-quality energy development. The combination and complementarity of energy systems is...

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Problems solved by technology

However, considering the stochastic equality constraints of the predicted value of renewable energy generation, it is difficult to satisfy

The result of deterministic optimization is the only definite value, which brings difficulties in unit control. Interval optimization can effectively improve this problem, but at the same time it leads to inaccuracy of too large interval range

Many input parameters of general modeling will show a certain degree of uncertainty due to inaccurate or missing data. Traditional linear optimization models can only solve simulation problems where all parameters are determined.

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