Network type LNG (liquefied natural gas) industrial chain integrated prediction and scheduling method

Abstract

The invention relates to a network type LNG (liquefied natural gas) industrial chain integrated prediction and scheduling method which includes the steps of (1) setting a network type LNG industrial chain integrated prediction and scheduling system, (2) inputting various original data to an initial parameter database of a simulation system platform in advance, (3) by the simulation system platform, collecting and updating data information of the initial parameter database through DCS (distribution control system) of various receiving stations and transfer stations, (4) starting a simulation module by the simulation system platform to perform simulation deduction, (5) displaying the simulation deduction results by index and report display modules, (6) transmitting the simulation deduction results to a trade management platform by the simulation system platform, and then sending the results to GMS(gas management system) terminals of the receiving stations and the transfer stations via the trade management platform so as to generate the scheduling plan of the home station. The network type LNG industrial chain integrated prediction and scheduling system comprises a master scheduling center, the simulation system platform and the trade management platform; the master scheduling center is connected with the DCS of the receiving stations and the transfer stations, the trade management platform is connected with the GMS of the receiving stations and the transfer stations; the simulation system platform comprises an initial parameter database, the simulation module, the index and report display module and an analysis database.

Description

technical field [0001] The present invention relates to a method for comprehensive forecasting and dispatching of the LNG (liquefied natural gas) industry chain, in particular to a method for multi-LNG long-term supply points (that is, LNG liquefaction plants), multi-LNG spot points, multi-LNG receiving stations, and multi-LNG transfer stations. , multi-link LNG transport fleet, multi-LNG transshipment fleet preset and dynamic spot, preset and dynamic inter-station transshipment and other multi-link, multi-operation mode network-based LNG industry chain comprehensive forecasting and dispatching method. Background technique [0002] In the LNG industry chain, the basic function of the receiving station is to unload the transport ships from the long-term supply point through the ocean, store the LNG materials in the LNG storage tank after unloading the ship, and gasify the LNG according to the downstream gas demand Afterwards, it is exported to three types of gaseous users: in...

AI Technical Summary

Problems solved by technology

The existing method is dominated by subjective experience, and the analysis and processing of key data are relatively elementary, unable to adapt to the timely and dynamic adjustment of production needs, the predictability of the plan is poor, and the risk of interfering with the normal operation of the receiving station or transfer station is high

However, under the LNG industry chain structure, the management and control of the overall network system, such as spot goods, inter-station transshipment, and transshipment management triggered by dynamic demand, cannot rely on manual analysis.

In addition, under the influence of many natural uncertain factors, it is often difficult to predict a reasonable time window, and it is even more difficult to effectively coordinate the network relationship of multiple receiving stations and multiple transfer stations at the same time, which will cause the storage tank of a certain station to "force the tank". "(Forcing tanks means that the LNG stock is high and it is difficult to fill LNG), while the storage tanks at another station are "empty tanks", and there are transport ships or transshipment ships queuing up at the port, which cannot adapt to the production and operation requirements in a complex environment, etc. , not only reduces asset utilization, but also leads to unacceptable gas supply security risks

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