Operation optimization method for heat accumulating type electric boiler to participate in peak regulation of power system

Abstract

The invention provides an operation optimization method for a heat accumulating type electric boiler to participate in peak regulation of a power system, and belongs to the field of operation optimization for flexible resources to participate in peak regulation. The method comprises the following steps: firstly, converting historical data of an environment temperature predicted value and an environment temperature actual value through an empirical probability distribution function, constructing a joint probability distribution function of the converted environment temperature predicted value and the environment temperature actual value, and calculating to obtain empirical distribution of the actual environment temperature of the next day; then, establishing an operation optimization model for the heat accumulating type electric boiler to participate in peak regulation of the power system, which is composed of an objective function and constraint conditions, and solving the model after carrying out distributed robust optimization on the objective function of the model to obtain an optimal solution of reported power when the heat accumulating type electric boiler participates in peak regulation in each time period; and finally, obtaining a bidding power curve of the heat accumulating type electric boiler participating in the peak regulation market, and finishing optimization. According to the method, the influence of the uncertainty of the environment temperature on peak regulation of the heat accumulating type electric boiler can be reduced, and the peak regulation capacity of the heat accumulating type electric boiler is fully exerted.

Description

technical field [0001] The invention belongs to the field of operation optimization in which flexible resources participate in peak regulation, and in particular relates to an operation optimization method in which a heat storage electric boiler participates in peak regulation in a power system. Background technique [0002] In recent years, renewable energy has developed vigorously, and the high proportion of renewable energy access has brought great pressure to the power system for peak regulation. In northern China, wind power tends to have a higher output power at night in winter, while thermal power units are limited in their peak shaving capacity due to night heating. Since the power generation resources of the power system in northern my country are mainly thermal power units, the lack of peak-shaving capacity at night during the heating period has become a key factor restricting wind power consumption. At the same time, the heat-storage electric boiler load in the n...

AI Technical Summary

Problems solved by technology

However, when the current research optimizes the power curve of the regenerative electric boiler, the temperature of the weather forecast is often used as the deterministic input condition, and the temperature prediction error is not considered.

Such a method may cause the actual power curve of the regenerative electric boiler to deviate from the power curve reported before the day, and cannot fully utilize the peak-shaving capability of the regenerative electric boiler

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