Optimal Power Flow Solution for Natural Gas System Based on Second-order Cone Optimization Algorithm

Abstract

The invention provides a natural gas system optimal power flow solving method based on a second-order cone optimization algorithm. The model of natural gas system and the constraint conditions to be satisfied in operation are established, scaling the non-convex pipe flow equation, in order to guarantee the relaxation to be compact, the cutset is introduced to iterate in the process of natural gasoptimal power flow solution to ensure the final solution to be the optimal power flow solution. The optimal power flow of natural gas system is solved by using the second-order cone convex equation and the natural gas cost as the objective function. The invention firstly analyzes the main components of the natural gas system, such as the pipeline, the pressurizing station, the gas well and the like, and studies the operation mechanism thereof to establish a natural gas steady-state model; then, the non-convex and non-linear OPF problem is transformed into a convex problem which is easy to solve. Then, the cutset is introduced to solve the problem iteratively to ensure that the solution obtained is the optimal solution of the original problem. Finally, MOSEK second-order cone optimization solver is used to verify the correctness and effectiveness of the proposed algorithm.

Description

technical field [0001] The invention relates to a natural gas system, in particular to a method for solving the optimal power flow of the natural gas system. Background technique [0002] Energy is the basis and important guarantee for human survival and the lifeline of the national economy. How to ensure sustainable energy supply while reducing environmental pollution is the focus of common concern in today's society. After years of development, my country's energy industry has made great achievements, but this is based on the consumption of a large amount of non-renewable coal resources, which has brought huge pollution to the environment. As a country with a large energy demand, the United States has a smaller proportion of coal power generation than natural gas power generation. This is because the products produced by natural gas power generation are less polluting to the environment than coal, and natural gas reserves are very abundant in the United States. Although m...

AI Technical Summary

Problems solved by technology

The Newton-Raphson method is a conventional method for solving system power flow. Its principle is simple and easy to understand, but the solution process is complex, slow, and requires high initial value setting, and it is easy to fall into a local optimal solution

Although the linearization method can speed up the solution, the accuracy of the solution is low, and the result can only be used as an approximation; while the second-order cone optimization algorithm, as a convex optimization algorithm, has the advantages of efficient solution and can ensure that the solution result is the global optimal solution

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