Cold and hot gas combined supply scheduling method and system for flexible area comprehensive energy system

Abstract

A cold and hot gas combined supply dispatching method for a flexible area comprehensive energy system comprises the steps of: stepwisely introducing electricity-to-gas two-stage operation and the combined refrigeration technology of an electric refrigerator and a lithium bromide absorption refrigerator and carrying out modeling respectively; then establishing an RIES optimal scheduling model by taking the sum of the power system network loss in the RIES and the cost of purchasing energy from a superior network as an objective function, and giving a power, gas, heat and cold power balance constraint relationship of the RIES; converting the originally built model into a mixed integer second-order cone programming model by using linearization and second-order cone relaxation technologies; calling a Cplex algorithm package on the Matlab provided with the Yalmip optimization toolbox by using the established model according to the predicted operation curves of the fan, the photovoltaic system and various loads, and carrying out optimization solution on the Matlab provided with the Yalmip optimization toolbox; and analyzing the economic benefits generated by SOP and P2G technologies and a lithium bromide absorption refrigerator for reducing the system network loss and cost and improving the wind and light absorption capacity of the system. The invention further comprises a cold and hot gas combined supply dispatching system of the flexible area comprehensive energy system.

Description

technical field [0001] The invention relates to an optimal scheduling method for combined cooling, heating, gas and electricity of a flexible regional comprehensive energy system including an intelligent soft switch. Background technique [0002] The energy supply mode driven by traditional fossil energy is being replaced by wind power, photovoltaic and other renewable clean energy (Renewable Clean Energy, RCE) supply mode. However, RCEs such as wind and solar, whose power generation ratio is increasing year by year, are difficult to fully absorb due to their inherent low peak-shaving capability, strong uncertainty and strong volatility. Continuing to remain high has gradually become a bottleneck problem that restricts the sustainable and healthy promotion of RCE power generation substitution. At the same time, a high proportion of RCE penetration can easily cause problems such as low comprehensive energy utilization, distribution network voltage limit and power fluctuation...

AI Technical Summary

Problems solved by technology

[0004] However, at present, the primary problem facing RIES in terms of optimal scheduling is how to promote the coordinated and optimized operation of various heterogeneous energy supplies within RIES. The comprehensive utilization rate and safety and stability of RIES internal energy, and further reduce the operating cost of RIES

However, the current research on RIES mainly focuses on the three aspects of system planning, modeling and optimal scheduling, which cannot well solve the primary problems that RIES currently faces in optimal scheduling.

At the same time, due to the nature of RCE itself, such as high-permeability wind and light mentioned above, the energy conversion, coordination and absorption capabilities of RIES are greatly weakened, and it also leads to the imbalance between the supply and demand of RIES electric energy.

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