Model-prediction-control-based optimized dispatching method of integrated energy system of park

Abstract

The invention relates to a model-prediction-control-based optimized dispatching method of an integrated energy system of a park. The method comprises: according to a selected integrated energy systemof a park, structure and parameters of the integrated energy system of the park are inputted; operational constraints of the integrated energy system of the park are established; a minimized sum of operation costs and equipment on-off costs of the integrated energy system of the park in a prediction domain at a rolling optimization stage is set to be an objective function and a minimized sum of operation costs and power adjustment punishment costs of the integrated energy system of the park within a single interval at a dynamic adjustment stage is set to be an objective function; optimized dispatching is carried out by using a rolling-optimization-based multi-time scale optimization dispatching method; and a dispatching plan of the system within one dispatching cycle is outputted, whereinthe dispatching plan includes operation costs, a heat supply water power of a solar hot water system, a ground source heat pump, a start-stop command of an electric boiler, an operating situation, anenergy supply power, a running condition of a thermal-storage water tank, and an energy supply power. According to the invention, optimized dispatching of the integrated energy system of the park is realized; the influence caused by the load and renewable energy output prediction errors is reduced effectively; and the energy demand of the system is satisfied economically and reliably.

Description

technical field [0001] The invention relates to an optimal scheduling method for an integrated energy system. In particular, it relates to an optimal scheduling method for park comprehensive energy systems based on model predictive control. Background technique [0002] With the increasing global energy and environmental problems, vigorously developing renewable energy, improving energy efficiency, and reducing environmental pollution have become an inevitable choice for sustainable energy development in the future. The integrated energy system of the park is close to the user and can utilize various forms of renewable energy on site, breaking the existing mode of separate planning and operation of each energy system, and carrying out unified design and coordinated optimization of different energy supply systems, realizing multiple The deep integration and close interaction of energy can flexibly supply users with various energy needs such as electricity, heat, and cooling,...

AI Technical Summary

Problems solved by technology

[0004] At present, the processing of load and renewable energy output uncertainty in the optimal dispatching process of the integrated energy system of the park is mostly realized by establishing a multi-period advance dispatching model that considers prediction errors, which cannot meet the online adjustment requirements of the actual operation of the system; or It meets the online adjustment requirements of the system, but does not consider the error of prediction information and small time scale operation information

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