Random electrothermal coupling system optimization scheduling method considering heat asymmetric heat loss

Abstract

The invention discloses a random electrothermal coupling system optimization scheduling method considering heat asymmetric loss, wherein the method comprises the steps: building a thermodynamic system model considering the heat asymmetric loss based on a heat transfer process of a heat supply network pipeline considering the actual heat loss; by using the thermodynamic system model and considering the influence of wind power uncertainty in a traditional electrothermal coupling system structure, establishing a random electrothermal coupling system optimization scheduling model; and based on the optimal scheduling model, modeling the wind power uncertainty of the optimal scheduling model by adopting an information gap robust optimization method and performing relaxation solution on the optimal scheduling model. According to the method, the heat asymmetric loss process of the heat supply network pipeline is considered, and the heat migration dynamic characteristic of the thermodynamic system is fully exerted, so that the wind power consumption level and the economic benefit of the random electrothermal coupling system are improved. In addition, an information gap robust optimization method is adopted for solving, so that the method can be suitable for the current situation that the random electrothermal coupling system has wind power uncertainty, and the safety and stability of system operation are fully ensured.

Description

technical field [0001] The invention relates to the technical field of integrated energy system operation control, in particular to an optimal scheduling method for a stochastic electric-thermal coupling system taking into account asymmetric heat loss of heat. Background technique [0002] During the winter in the "Three North" region, the demand for centralized heating and wind power consumption overlap each other, seriously reducing the capacity of the grid to accommodate renewable energy. From the perspective of physical characteristics, electrical energy is relatively easy to transmit but difficult to store, and thermal energy is relatively easy to store but difficult to transmit. There is a natural complementarity between power systems and thermal systems. Integrate the power system and thermal system for unified scheduling, and fully tap the coordination and flexibility space between the power network and thermal network, as well as thermal power units, cogeneration un...

AI Technical Summary

Problems solved by technology

However, the probability distribution of wind power in practical engineering applications is inherently uncertain, and it is difficult to guarantee the validity of its stochastic optimization results

Also, while robust optimization can be expressed in terms of its uncertain bounding parameters, the resulting results are often too conservative

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