Comprehensive energy micro-grid optimization planning method, micro-grid structure and control method

Abstract

The invention discloses a comprehensive energy micro-grid optimization planning method. The method comprises the following steps of: firstly establishing a structure of a comprehensive energy micro-grid; modeling devices such as a CCHP system, a gas boiler, an electric refrigerating unit and an energy storage device in the structure; obtaining a typical daily load curve and a renewable energy output curve from history data; and establishing an energy storage capacity optimization configuration model which takes a minimum total cost of an energy storage construction, operation and maintenance cost and a system operation cost as a target function by combining balance constraint of load, characteristic constraint of equipment and output constraint of new energy. Through solving the model, optimal energy storage capacities can be obtained so as to provide reference and support for the energy storage construction of practical comprehensive energy micro-grids.

Description

technical field [0001] The invention relates to the field of power system planning, in particular to an integrated energy microgrid optimization planning method, microgrid structure and control method. Background technique [0002] In recent years, concepts such as integrated energy microgrid and regional energy Internet have been sought after and applied in some parks, islands and other scenarios. Generally, these park micro-grids will set up an integrated energy supplier to meet the energy demand of each user in the park. The users themselves do not directly connect to the grid, but collectively connect to the grid through the integrated energy supplier. In this mode, the comprehensive energy suppliers in the park often sign power supply agreements directly with the power grid company according to the scale of power consumption and voltage level of users in the park. In the general agreement, the electricity price is divided into two parts, one part is directly linked to ...

AI Technical Summary

Problems solved by technology

However, at present, when configuring energy storage equipment in most park microgrids, the determination of its capacity is often determined by the staff based on past experience, without optimized planning - a small capacity configuration will lead to the inability to fully exert the role of energy storage. If it is too large, it will lead to a waste of resources

In addition, at present, the energy storage in most industrial parks is usually realized by electric storage equipment such as lead storage battery and lithium battery. The biggest problem is that the cost is too high

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