Multi-time scale microgrid energy control method considering demand response

Abstract

The invention discloses a multi-time scale microgrid energy control method considering demand response. According to the multi-time scale microgrid energy control method considering the demand response, in order to achieve the purpose of lowest operation cost of a microgrid, the electricity generating characteristic of a micro power source and demand response load power utilization property difference are combined to provide a user side load interruptible capacity limiting value, an electricity generating unit power output limiting value, a climbing constraint condition, an energy storage unit storage capacity constraint condition and an interaction maximum capacity constraint condition, an economic combination which can guarantee the optimum environmental benefit is searched under the multi-time scale condition by means of the genetic optimization algorithm, frequency modulation and spare capacity of a main grid are indirectly reduced, and the economical performance of complete-period operation of the grid is improved.

Description

technical field [0001] The invention relates to a coordinated control method of micro-grid energy, belonging to the technical field of micro-grid control. Background technique [0002] Broadly speaking, demand response (DR) can be defined as: users in the electricity market respond to market price signals or incentive mechanisms and change the market participation behavior of normal electricity consumption patterns. Different from the mandatory curtailment of power consumption in an orderly manner to ensure the safe operation of the power system, demand response strives to effectively control the load while minimizing the impact on industrial and agricultural production and residents' comfort. Take a series of compensation measures to motivate users to make them actively respond to the control strategy. The development of smart grid has promoted the implementation of demand response, which has greatly expanded the audience of demand response, and is not limited to high-load...

AI Technical Summary

Problems solved by technology

[0006] In the existing technology, the energy management of the microgrid only considers distributed power sources. Although energy optimization can be achieved, due to the intermittent and discontinuous nature of distributed power generation, in order to maintain the safe and stable operation of the power grid, the main grid needs to prepare a large number of Inefficient and high-cost frequency regulation and reserve capacity, but loss of economic and environmental benefits;

[0007] Existing microgrid energy management only considers energy optimization on a single time scale, and does not realize optimization and coordination on multiple time scales in the entire scheduling process

However, due to the strong randomness of the power generation state of distributed power generation, the energy management plan needs to be adjusted frequently, and the optimization of a single time scale in the past cannot guarantee the economy of energy management;

[0008] Existing microgrid energy management research does not consider the power generation characteristics of micropower sources, power consumption characteristics of loads, and charge and discharge characteristics of energy storage equipment, and does not optimize energy management for the characteristics of the initial stage of microgrid development.

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