A micro-grid capacity optimization configuration method and terminal
By establishing a multi-objective photovoltaic-storage capacity optimization model, considering the dynamic loss of the energy storage system's state of charge, generating a set of typical scenarios, and optimizing the configuration of microgrid capacity, the problem of inaccurate energy storage system configuration in existing technologies is solved, and more reliable and economical microgrid operation is achieved.
CN117639058BActive Publication Date: 2026-07-24STATE GRID FUJIAN ELECTRIC POWER CO LTD +1
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID FUJIAN ELECTRIC POWER CO LTD
- Filing Date
- 2023-10-25
- Publication Date
- 2026-07-24
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Figure CN117639058B_ABST
Abstract
The application discloses a micro-grid capacity optimization configuration method and a terminal, establishes a multi-target light-storage capacity optimization model of a micro-grid, considers dynamic loss of a state of charge of an energy storage system, determines an economy target function under a generated typical scenario set and a power supply reliability target function under the typical scenario set, and determines a constraint condition of the power supply reliability target function, takes the economy target function under the typical scenario set and the power supply reliability target function under the typical scenario set as targets, solves the multi-target light-storage capacity optimization model under the constraint condition of the power supply reliability target function, and obtains an optimal capacity optimization configuration result, so that the capacity optimization configuration of a light-storage power generation unit of the micro-grid is performed based on the multi-target of the economic benefit and the power supply reliability of the micro-grid, the optimization is solved by using the typical scenario set, the ability of coping with uncertain scenarios is stronger, and therefore, the micro-grid capacity optimization configuration is more accurate and reliable.
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