Gas-electric coupling system operation optimization method

Abstract

The invention discloses a gas-electric coupling system operation optimization method. The method comprises the following steps of a data reading step, a sample generation step, a population sample number judgment step, a maximum population algebra setting step, a population sample calculation step, a population sample judgment step, a genetic operation step, a population algebra judgment step andan optimal solution output step. Based on real-time requirements of natural gas loads and electric loads, management of energy is optimized. Based on the concept of an energy concentrator, an energy center model is established. The energy center model comprises an energy converter including a transformer, a combined heat and power generation unit, a gas-fired boiler, a heat pump and a lithium bromide unit in order to provide flexible energy flow paths. The target of minimizing cost of a gas-electric coupling system is set . The constraint conditions are set for equipment capacity and network flow.

Description

technical field [0001] The invention relates to an operation optimization method of a gas-electric coupling system in the field of energy integration optimization. Background technique [0002] The key to solving increasingly severe energy and environmental problems is to develop new energy sources, improve energy utilization efficiency, and accommodate renewable energy, which puts forward an urgent need for the integration and optimization of multiple energy sources. [0003] Multi-energy complementarity refers to the use of multiple energy sources to complement each other according to different resource conditions and energy-using objects, so as to alleviate the contradiction between supply and demand of certain energy sources. The document "Optimal power flow of multi-pleenergy carriers" puts forward the concept of an energy hub, which converts multiple energy sources that are easy to control, such as gas turbines, air conditioners, heat pumps, etc., according to the user...

AI Technical Summary

Problems solved by technology

The above studies are based on the concept of energy hubs in the analysis and optimal scheduling of the gas-electric coupling system, but the distribution coefficients of different equipment in the established energy center model are fixed, and the energy flow path is single. The energy conversion characteristics of the device and the front-to-back interaction mechanism provide room for optimization of its energy distribution

Images