Method for evaluating benefit of source-load complementation across time and space in consideration of randomness of both sides of system

Abstract

A method for evaluating the benefit of source-load complementation across time and space in consideration of the randomness of both sides of a system is characterized by comprising the following steps: constructing a typical power output feature database of different clean power sources across time and space; building a load prediction model based on a data mining technology, and predicting the load characteristics of different regions in the future by considering multiple influence factors; and building a cross-regional source-load time-space complementation characteristic evaluation system based on the statistical characteristics of big power data by considering the natural conditions of different regions, the regional differences and the external influence factors of energy structure differences. By taking into full consideration the complementation optimization configuration of renewable energy and loads in a wide area and across time and space in the global scope, the benefit of cross-national, cross-regional or cross-continental source-load time-space complementation can be evaluated from three dimensions (source-source complementation, load-load complementation and source-load complementation) based on the broad, multi-source, polymorphic and heterogeneous data differences and the statistical characteristics of big power data. The method can be widely applied to the reasonable evaluation of the benefit of source-load complementation across time and space.

Description

technical field [0001] The invention relates to the technical field of power generation, power transformation or power transmission, in particular to a method for evaluating the benefit of source-load cross-time-space complementarity considering the randomness of both sides of the system. Background technique [0002] Affected by factors such as climate change, environmental pollution, and energy security, global energy is accelerating its transition to a green, low-carbon, and intelligent direction. The large-scale development and utilization of clean energy represented by wind energy and solar power generation is playing an increasingly important role in the process of promoting energy transformation in various countries. Considering that the distribution of wind and solar resources varies greatly around the world, usually far away from the load center, the generated energy needs to be transmitted by long-distance large-capacity power grids, so the concept of global energy...

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Problems solved by technology

How to take advantage of the complementary characteristics of wind power and photovoltaics to smooth the output power fluctuations of their power generation by bundling new energy and traditional energy, and to use the complementary characteristics of loads to reduce the adverse impact on the power system by using demand-side management to reduce the adverse impact on the power system. Many literatures at home and abroad have proposed relevant methods, but these methods do not take into account the complementary optimal allocation of renewable energy and loads in a wide area and across time and space; The amount of polymorphic and heterogeneous data will increase exponentially, and it needs to be supported by corresponding wide-area collection, efficient storage and fast processing technologies, and mining knowledge and value applications from these data

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