Optimized operation control method and system of distributed energy system

Abstract

The invention discloses an optimized operation control method and system of a distributed energy system. The method include: S1, collecting environmental information and actual operation data of a unit so as to acquire a change rule of cold and hot load of a distributed energy station user with season and moment, and establishing a cold, hot and electric load prediction model; S2, optimizing the cold, hot and electric load prediction model on line by introducing real-time calibration factors and the actual operation data of the unit; S3, on the premise that the energy utilization efficiency is met, establishing a dynamic optimized load distribution model according to the dynamic requirements of the predicated cold, hot and electric load by taking a whole-plant economic benefit optimization as an objective, and outputting dynamic optimized load distribution results; S4, based on the whole-plant economic benefit optimization, establishing an optimal combination model according to the dynamic optimized load distribution results, and outputting a unit operation optimization command. High-precision load prediction information can be acquired, a corresponding optimization command is formed, and online optimization control is performed on the load dynamics and unit operation.

Description

technical field [0001] The invention relates to an operation optimization control method and system for a distributed energy system, in particular to an operation optimization control method and system for a gas-steam combined cycle plus waste heat utilization combined cooling, heating and power supply system. Background technique [0002] Distributed energy refers to a comprehensive energy utilization system distributed at the user end, with natural gas or renewable energy as the main driving energy, based on combined cooling, heating, and electricity technology, to achieve energy cascade utilization that directly meets the various needs of users , is an energy supply system characterized by high efficiency, cleanliness and flexibility, and has become a rapidly developing green emerging energy industry in the world today. [0003] The remarkable feature of distributed energy system operation is that the load changes greatly, especially the cooling and heating load changes g...

AI Technical Summary

Problems solved by technology

In order to meet the demands of cooling, heating, and electrical loads, the system is often in a state of variable operating conditions. Due to the lack of load forecasting link or low forecasting accuracy, the deviation of optimal load distribution continues to increase, and the response characteristics of the unit and its control system will appear lagging and overshooting. adjustment or even oscillation, making it difficult for the system to meet the requirements of the comprehensive energy utilization efficiency value at design time, and it is also difficult to guarantee economic benefits

[0004] As the cold, heat and electricity loads on the user side are constantly changing, there are many collocation operation modes for the main equipment of the distributed energy station. Multiple switching / retiring units or unreasonable collocation of the main equipment will lead to increased energy consumption and poor plant use. The power consumption increases and the economy decreases. Therefore, how to reasonably optimize the operation mode of multiple units is also an urgent problem to be solved in the distributed energy system.

At present, the SIS system of distributed energy stations is only responsible for real-time production data transmission and reports, not responsible for on-site decision-making optimization control and optimization management, so it cannot guide the operation optimization management of on-site equipment; while the existing DCS of distributed energy stations The control system and SIS production management system operate independently, and the production management system is not associated with the control system in real time, and does not have the real-time online operation optimization function for the entire distributed energy station

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