A power system transmission network line planning method considering massive operation scenarios

Abstract

A method, an apparatus and a storage medium for transmission network expansion planning considering extremely large amounts of operation scenarios is provided. The method comprises establishing an optimization model for transmission network expansion planning, the optimization model including an objective function for minimizing the sum of investment costs for the transmission lines and expected values of operation costs in the power transmission network, solving the optimization model to obtain an optimal investment decision variable; and determining the transmission network expansion planning based on the optimal investment decision variable.

Description

technical field [0001] The invention relates to a power system transmission network line planning method considering massive operation scenarios, and belongs to the technical field of power system expansion planning. Background technique [0002] With the continuous depletion of fossil energy and the increasing attention of countries around the world to environmental pollution and climate change, the proportion of low-carbon and clean new renewable energy sources (such as wind power, photovoltaics, etc.) in the grid is increasing. According to the National Energy Administration, as of the end of 2017, my country's installed capacity of renewable energy power generation reached 650 million kilowatts, an increase of 14% year-on-year; among them, the installed capacity of wind power was 164 million kilowatts, and the installed capacity of photovoltaic power generation was 130 million kilowatts, an increase of 10.5% and 68.7% year-on-year respectively. A high proportion of renew...

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Problems solved by technology

There are also scene reduction techniques disclosed in Zhan, Junpeng, C.Y.Chung, and Alireza Zare."A fast solution method forstochastic transmission expansion planning."IEEE Transactions on PowerSystems 32.6(2017):4684-4695, at the expense of discarding uncertain information , it will inevitably lead to a decrease in the accuracy of the description of uncertain factors, and there will be large errors in the calculated system operating costs, which will eventually affect the planning results obtained

In addition, scene reduction is carried out in advance, and then the reduced scene is input into the power grid planning model. Only the reduced scene is in the model, and the error generated is an inherent error of the system, which cannot be eliminated by an optimization algorithm.

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