Power grid optimization dispatching method, electronic equipment, storage medium and program product
By building a virtual electric energy storage model and a joint optimization scheduling model, the problem of microgrid dependence on centralized electric energy storage equipment is solved, and load transfer capacity is improved and operating costs is reduced.
CN114243736BActive Publication Date: 2025-03-25HUANENG ZHEJIANG ENERGY SALES CO LTD
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Patent Information
- Application Number
- CN202111463333.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-12-02
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2041-12-02
AI Technical Summary
Technical Problem
The existing methods rely heavily on centralized electrical energy storage equipment in the microgrid, resulting in an increase in operating costs of the microgrid.
Method used
By constructing a first virtual electric energy storage model based on water pump-water tank and a second virtual electric energy storage model based on temperature control load, and combining the joint optimization scheduling model of microgrid and water distribution network, the power grid is optimized and dispatched.
Benefits of technology
Reliance on centralized power storage equipment has been reduced, the power grid has been improved in the short-term and long-term load transfer capabilities, and the operating costs of the microgrid have been reduced.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention provides a power grid optimization scheduling method, electronic equipment, storage medium and program product, the power grid optimization scheduling method includes: constructing a first virtual electric energy storage model based on a water pump-water tank; wherein the first virtual electric energy storage model is constructed based on at least the water pump parameters and water tank parameters of the water distribution network; constructing a second virtual electric energy storage model based on a temperature control load; constructing a microgrid and water distribution network joint optimization scheduling model; and performing power grid optimization scheduling according to the first virtual electric energy storage model, the second virtual electric energy storage model and the microgrid and water distribution network joint optimization scheduling model. The present invention is used to solve the defect that the existing method relies heavily on centralized electric energy storage equipment in the microgrid, which increases the operating cost of the microgrid.
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