Day-ahead optimization scheduling method for integrated energy system

Abstract

The invention discloses a day-ahead optimization scheduling method for an integrated energy system, which comprises the specific steps of building a power distribution system mathematical model, a gasdistribution system mathematical model and an EC system mathematical model in an integrated community energy system; establishing a comprehensive evaluation model to evaluate the reliability, economy, environmental protection and efficiency of the power system; formulating an objective function by taking the minimized operation cost, greenhouse gas and pollution gas emission as objectives; constructing a multi-objective random optimization mathematical model; and solving the multi-objective random optimization problem by adopting an NSGA-II optimization algorithm. According to the invention,a series of optional schemes are provided based on multi-objective optimization scheduling analysis, and the optimization result realizes the economic and environment-friendly operation of ICES (Integrated Community Energy System)under the random condition.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of integrated energy systems, and in particular to a day-ahead optimization scheduling method for integrated energy systems. Background technique [0002] With the increasingly tense relationship between energy supply and demand and the deteriorating global environment, the integrated community energy system (ICES) can not only provide a more secure and economical sustainable energy solution than a single energy system, but also help to improve Energy utilization efficiency and reduction of polluting gas emissions are of great significance to promote the construction of low-carbon cities in the future. [0003] From the evaluation point of view of the regional comprehensive energy system is relatively single and different regions have differences in terms of population, area and GDP, etc., and the impact of the reliability and environmental protection of the regional comprehensive energ...

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Problems solved by technology

[0004] To this end, the embodiment of the present invention provides a day-ahead optimization scheduling method for an integrated energy system, by constructing the mathematical model of the power distribution system, the mathematical model of the gas distribution system, and the mathematical model of the EC system in ICES; To evaluate each aspect, establish a comprehensive evaluation model; take the minimization of operating costs and greenhouse gas and pollutant gas emissions as the objective function, build a multi-objective stochastic optimization mathematical model based on the chance constraint method, and use the NSGA-II optimization algorithm to perform multi-objective stochastic optimization. Solve the problem to solve the negative impact on the reliability and environmental protection of the regional comprehensive energy system in the existing technology due to the single evaluation angle of the regional comprehensive energy system and the differences in population, area and GDP in different regions problem of influence

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