Source network load self-optimization intelligent regulation and control system based on wide-area perception prediction and real-time control optimization technical method
A technology of self-trending and real-time control of source-network-load, applied in forecasting, design optimization/simulation, AC network voltage adjustment, etc., can solve problems such as large fluctuation of distributed energy, reduction of power system inertia, and difficulty in accurate prediction
Pending Publication Date: 2022-03-25
STATE GRID HEBEI ELECTRIC POWER RES INST +3
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[0003] However, traditionally, distributed energy resources on the user side do not participate in system control, resulting in reduced inertia of the power system, insufficient frequency control and dynamic voltage regulation capabilities; distributed energy resources are highly volatile and difficult to accurately predict, and centralized optimal scheduling cannot adapt to this situation. A strong uncertainty, decentralized distributed energy resources and large power grids have not formed a complementary coordination mechanism
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[0037] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way serves as any limitation of the application, its application or uses. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0038] An intelligent control system and real-time control optimization technology method based on wide-area perception and prediction of source-network-load self-optimization, characterized by an observer-based state diagnosis method and a situation-aware distributed source-network-load self-optimization control m...
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The invention discloses a source network load self-optimization intelligent regulation and control system based on wide area perception prediction and a real-time control optimization technical method. The method comprises a state diagnosis method based on an observer, a source network load distributed control method based on situation awareness and a source network load time scale intelligent regulation and control energy management method. The observer-based state diagnosis method and the situation awareness-based source network load distributed self-optimization control method provide support for a source network load self-optimization intelligent regulation and control system and a real-time control optimization technical method. The invention is suitable for a complex network system, including but not limited to a complex network theory and a visual data mining algorithm of a power system, and aims to realize clean energy broadband measurement, wide area perception, power generation capability prediction and real-time control technologies based on ubiquitous Internet of Things. A smart power grid operation control system which is wide in source, network and load interconnection and friendly in interaction facing the regional energy internet and an intelligent regulation and control system supporting the energy market are established.
Description
technical field [0001] The invention belongs to the technical field of energy system management, optimization and control, and specifically relates to a source-network-load self-optimizing intelligent control system based on wide-area perception prediction and a real-time control optimization technology method. Background technique [0002] The construction of a new power system needs to be based on the intelligence of the grid side, while promoting the development of clean power supply and user-side electrification. The means of realization must be centered on electricity, while taking into account the goals of clean, low-carbon, high-efficiency, and digital intelligent interaction. However, with the massive development and utilization of renewable energy, a large number of power grids across the country have initially formed a pattern of coexistence of traditional energy power generation and renewable energy power generation, and coordinated development of centralized power...
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Login to View More IPC IPC(8): H02J3/24H02J3/32H02J3/38H02J3/14H02J3/06H02J3/46H02J13/00G06F30/20G06Q10/04G06Q10/06G06Q50/06
CPCH02J3/004H02J3/0075H02J3/24H02J3/32H02J3/381H02J3/144H02J3/06H02J3/466H02J13/00001H02J13/00002G06F30/20G06Q10/04G06Q10/0631G06Q10/0639G06Q50/06H02J2203/10H02J2203/20H02J2300/40Y02E60/00Y02B70/3225Y04S10/50Y04S20/222Y04S40/128
Inventor 马瑞胡长斌侯倩金飞李剑锋罗珊娜
Owner STATE GRID HEBEI ELECTRIC POWER RES INST