Optimization scheduling method for comprehensive energy system of smart park on basis of multiple objectives

Abstract

The invention discloses an optimization scheduling method for a comprehensive energy system of a smart park on basis of multiple objectives. The optimization scheduling method comprises the followingsteps: determining and acquiring basic operation parameters of the comprehensive energy system; formulating evaluation indexes of multi-objective operation of the smart park; establishing an optimization scheduling model of a day-ahead economic scheduling stage of the comprehensive energy system; and solving the established multi-objective optimization scheduling model by adopting a mixed linear integer programming solver. According to the invention, through construction of a target function with minimized operation cost in a scheduling stage, on the basis of meeting power balance and safety constraints, evaluation indexes and constraint conditions are established from the perspectives of energy consumption, environmental protection and reliability; starting, stopping and output states ofenergy storage, flexible load and combined heat and power supply controllable units in the system are optimized; and multi-objective optimization scheduling of the comprehensive energy system of the smart park is realized. Thus, economic and environment-friendly operation of the system can be achieved; various energy supply reliability of the system can be guaranteed; and safe, stable, efficient and economical operation of the comprehensive energy system is guaranteed.

Description

[0001] Field [0002] The invention belongs to the field of integrated energy systems, and in particular relates to a multi-objective-based optimal scheduling method for an integrated energy system in a smart park. Background technique [0003] Energy is the foundation of human survival and development. The traditional energy system construction tends to plan, design and operate independently for each subsystem. There are differences and barriers in the development of different energy supply systems, and the coupling degree of multi-energy systems such as electricity, heat and gas is different. High, the lack of multi-energy complementarity and coordinated control mechanisms among them may lead to problems such as low energy utilization efficiency, insufficient system operation safety, and lack of system self-healing ability under failure conditions. [0004] In recent years, energy technologies such as distributed power generation, renewable energy, cogeneration, micro-grid, ...

AI Technical Summary

Problems solved by technology

However, further attention needs to be paid to the fact that the response characteristics of electricity, heat, and gas multi-energy are different on the time scale, so it is often not considered or cannot be integrated and To overcome the difference in the time scale of the corresponding characteristics of electric heat and gas, the integrated energy system scheduling cannot play its role to the greatest extent, the error is large, and the work efficiency is low. The difference in the time scale of different response characteristics becomes very important

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