An Optimal Scheduling Method for Multi-energy Coupling Integrated Energy System

Abstract

The invention discloses a scheduling optimization method of a multi-energy coupling comprehensive energy system. The scheduling optimization method comprises the following steps: S1, establishing models of renewable energy, energy coupling equipment and energy storage equipment; s2, establishing a day-ahead scheduling model; s3, substituting the prediction results of the electricity, cold, heat and gas loads in the future 24 hours into the model in the step S2, and performing solving the prediction results in a Cplex optimizer; s4, establishing an intra-day rolling optimization scheduling model; and S5, substituting the real-time electricity, cold, heat and gas loads into the model in the step S4, and performing solving in a Cplex optimizer. According to the scheduling optimization method,the accuracy of a result is improved by utilizing day-ahead intra-day multi-time-scale scheduling, so that the operation cost of the system is reduced, and the stable and economic operation of the system is ensured.

Description

technical field [0001] The invention belongs to the field of energy optimization dispatching, and in particular relates to a dispatching optimization method of a multi-energy coupling comprehensive energy system. Background technique [0002] In traditional energy systems, each energy subsystem such as electricity, cooling, heating, and gas systems is relatively independent, and different supply and demand energy systems cannot be uniformly dispatched and optimized, resulting in low energy utilization and high operating costs, which cannot meet low-carbon requirements. The integrated energy system with multi-energy coupling specifically refers to the integration of energy production and sales formed after the organic coordination and optimization of energy generation, transmission and distribution, conversion, storage, and consumption in the process of planning, construction, and operation scheduling. This will better improve the stability and energy utilization efficiency o...

AI Technical Summary

Problems solved by technology

However, this patent balances the balance of intraday load demand by setting the day-ahead interruption load. It does not consider the sudden demand for energy used by users, and only considers the cooling, heating and power systems, not the natural gas system, and the optimal scheduling is not comprehensive.

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