Multi-energy power supply capacity configuration method based on complex adaptive system theory

Abstract

The invention discloses a multi-energy power supply capacity configuration method based on a complex adaptive system theory, relates to the technical field of power systems, and provides a multi-energy power system planning model based on the complex adaptive system theory (CAS) in allusion to the multi-energy power supply capacity configuration problem. According to the model, the time sequence and randomness of wind power and photovoltaic power generation are considered, the multi-energy power supply capacity is reasonably configured by taking various types of power supplies as adaptive mainbodies, selecting the power supply capacity as a decision amount, taking the maximum economic benefit as a target function and depending on the behavior rule of continuously changing the main bodiesthrough the adaptive action between the main bodies and between the main bodies and the environment. An actual power system of a certain province in China is selected as an example for simulation andcompared with a Pareto solution set, new energy consumption can be remarkably improved based on power supply structure optimization configuration of a complex adaptive system theory, and the method better conforms to the operation mode of the actual power system.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a multi-energy source capacity configuration method based on complex adaptive system theory. Background technique [0002] The cleanliness and low-carbonization of the power industry is an inevitable requirement for sustainable social and economic development. At present, low-carbon emission power sources such as photovoltaic power plants and wind farms are increasing in the power system. Different from traditional power sources, photovoltaic and wind power have low carbon emissions, but both have the characteristics of intermittency, volatility, anti-peak regulation, and poor controllability. With the increase of grid-connected capacity, the impact of photovoltaic power plants and wind farms on the system is becoming more and more obvious, which also has a profound impact on traditional power planning. Compared with other energy sources, my country's coal reserves have c...

AI Technical Summary

Problems solved by technology

[0004] However, in the above studies, there are still problems such as inaccurate models or incomplete consideration of power supply types. Some studies have adopted traditional optimization methods, but their calculation efficiency is low.

Although the new intelligent optimization algorithm has improved the speed of problem optimization to a certain extent, it still cannot guarantee the global convergence and rationality of the solution.

Images