Load reliability assessment method considering load grading and energy scheduling

Abstract

The present invention discloses a load reliability assessment method considering load grading and energy scheduling. The method comprises the following steps: 1. obtaining the original data of a power distribution system and the original meteorological data within a period of time; 2. establishing a reliability model for a distribution type power supply and energy storage combined power generation system; 3. making the local network formed by the distribution power supply and the energy storage an equivalent node recorded as a PCC node; and using the GO model to calculate the equivalent state model and the parameters of the external components relative to the PCC node; 4. classifying the loads in the PCC node, setting the weight coefficients; and using an improved particle swarm optimization algorithm to solve the optimal scheduling; and 5. using Monte Carlo simulation method to calculate the load reliability index. The method of the invention can calculate the reliability of the loads with different characteristics more accurately, and can propose an energy scheduling scheme able to improve the load reliability through the optimization algorithm.

Description

technical field [0001] The invention relates to the field of reliability assessment, in particular to a load reliability assessment method considering load weight coefficients and energy scheduling. Background technique [0002] With the development of the economy, the user's requirements for the quality and reliability of the power supply of the distribution network are constantly increasing; the distributed power supply, energy storage device, control system and load are connected together, and can be separated from the main network in an emergency to achieve Stable power supply target; the access of distributed power and energy storage has an important impact on the reliability of the load, and at the same time increases the complexity of the load reliability analysis; at present, a lot of research has been done on the reliability of the load at home and abroad. In terms of reliability models of distributed power sources, photovoltaic power generation and wind power gener...

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Problems solved by technology

[0002] With the development of the economy, the user's requirements for the quality and reliability of the power supply of the distribution network are constantly increasing; the distributed power supply, energy storage device, control system and load are connected together, and can be separated from the main network in an emergency to achieve Stable power supply target; the access of distributed power and energy storage has an important impact on the reliability of the load, and at the same time increases the complexity of the load reliability analysis; at present, a lot of research has been done on the reliability of the load at home and abroad. In terms of reliability models of distributed power sources, photovoltaic power generation and wind power generation are mainly studied; in terms of reliability models of energy storage devices, the reliability models of joint power generation of energy storage and distributed power sources are mainly studied; in terms of evaluation methods, there are mainly analytical methods And the Monte Carlo simulation method, the analytical method has high calculation accuracy and fast speed, but when the system is complex, it is difficult to use the analytical method to solve it; the simulation method calculates the reliability by systematic random sampling, which is suitable for the reliability of complex systems Estimated, but the sampling process is random, requiring increased simulation time to improve accuracy

[0003] When the load is separated from the main network, the distributed power supply and energy storage system for the load cannot fully meet the power supply requirements for all loads. A load classification mechanism is introduced to give priority to power supply for important loads. The load dispatching method, how to improve the reliability evaluation method after load classification, the existing research methods do not involve these issues; the load does not make full use of the distributed power generation, and the distributed power supply and energy storage system, but failed to effectively improve load reliability

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