Electricity-gas coupling system optimization method considering unit combination and random wind energy output

Abstract

The invention provides an electricity-gas coupling system optimization method considering unit combination and random wind energy output. The method comprises the steps of forming a random wind speedscene; establishing a single-fan output scene model, and performing multi-scenario joint solution, wherein the establishment of the single-fan output scene model comprises constraints in three aspects: power system constraints, natural gas system constraints and energy conversion equipment constraints, and the power system constraints comprise unit output constraints, unit climbing constraints, spinning reserve constraints, unit start-stop constraints, power node balance equations and power flow equations; the natural gas system constraints comprise a gas well output constraint, an energy storage constraint, a compressor working condition constraint, a pipeline quality equation and a pipeline flow equation; the energy conversion equipment constraints comprise a natural gas node balance equation and first and last header pipe storage constraints. According to the invention, the iteration process is eliminated, the operation efficiency is improved, and meanwhile the high calculation accuracy degree is guaranteed; iteration is eliminated in a single scene, and acceleration of a multi-scene stochastic programming problem is facilitated.

Description

technical field [0001] The invention belongs to the field of energy systems, and in particular relates to an optimization method of an electric-pneumatic coupling system considering unit combination and random wind energy output. Among them, the multi-scenario problem caused by random wind energy output is considered, and the unit combination variables are used to couple the scenarios in the scenarios. Background technique [0002] Traditional energy systems such as electricity, gas, heating, and cooling are all dispatched by corresponding departments, and there are few connections and integrations among them, so it is impossible to achieve energy complementarity and improve energy efficiency. The integrated energy system emerged as the times require, specifically referring to the organic coordination and optimization of energy production, distribution, exchange, and consumption in the process of planning, construction, and operation to form an integrated system of energy pr...

AI Technical Summary

Problems solved by technology

These iterations will not only double the computing time, which is detrimental to the efficient operation of stochastic programming; but also cause difficulties to the actual operation of various multi-scenario decomposition algorithms (such as progressive hedging algorithms)

[0005] Existing quasi-dynamic models of natural gas pipelines have the problems of long calculation time and inaccurate results

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