Steam heat supply network scheduling optimization method based on demand response

Abstract

The invention discloses a steam heat supply network scheduling optimization method based on a demand response. The method comprises the following steps: S1, enabling a steam heat user to get access toa cloud platform dominated and constructed by a heat supply company; S2, acquiring historical load change conditions of each heat user before the demand response, and performing situation evaluationand classification on the historical load change conditions; S3, negotiating with different types of heat users anout a mechanism, a response time period and a load capacity participating in the demand response, and signing an agreement with the heat users; S4, establishing a steam heat supply network optimal scheduling model and an objective function and constraint conditions thereof; S5, solvingthe steam heat supply network optimal scheduling model by using an optimization algorithm; and S6, publishing the final scheduling and pricing scheme based on the excitation scheduling mechanism andthe price scheduling mechanism on a scheduling platform, and adjusting the used amount of steam by the heat user. By adopting the method, the load fluctuation of the steam heat supply network can be effectively slowed down, so that the overall heat energy supply cost and operation and maintenance cost are reduced.

Description

technical field [0001] The invention belongs to the field of advanced control of heating systems, and in particular relates to a method for dispatching and optimizing steam heating networks based on demand response. Adjust the heat consumption behavior of different heat users and smooth the load fluctuation of the steam heating network, thereby optimizing the operation of the steam pipe network, improving efficiency and reducing costs. Background technique [0002] With the rapid development of the economy and society, the demand for heating is increasing. The steam heating system uses steam as the heat medium, because it is easier to meet the requirements of industrial heat, and it has strong adaptability to different types of heat loads and heat exchange. Advantages such as higher efficiency in equipment are being applied on a large scale. However, due to the relatively large load fluctuations on the user side of the current steam heating network, the operation and mainte...

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Problems solved by technology

However, due to the relatively large load fluctuations on the user side of the current steam heating network, the operation and maintenance costs of the pipe network are increased. When the load changes greatly, there may even be a "water hammer" accident in the return water pipeline, which has a great impact on industrial production and life. adverse effects; in addition, load fluctuations will inevitably lead to peak and trough periods of heat consumption. During the peak period, the temperature or flow rate of the pipe network is relatively high. High internal and external temperature difference and high flow velocity will lead to more heat loss and friction loss, which reduces the heat energy carried by steam and the distance that can be transported. Due to the lower temperature and flow rate in the pipe network, the heat exchange efficiency of steam in the heat exchange equipment is reduced, which brings a certain amount of thermal economic loss

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