Active power distribution network energy hierarchical management optimization method of multi-microgrid system
A technology of active distribution network and layered management, applied in the field of power system, to achieve the effects of reducing transfer or interruption, good economic benefits, and ensuring economic efficiency
Pending Publication Date: 2022-07-29
HEBEI UNIV OF TECH
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Problems solved by technology
However, facing the problems of user load demand response, system operation strategy and model solution, it is a difficult point in the research of energy hierarchical management of active distribution network with multi-microgrid system.
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Embodiment 1
[0138] The present invention proposes an optimization method for active power distribution network energy hierarchical management of a multi-microgrid system. A PC is used as a platform for model building. Its operating environment is MATLAB R2016a software based on Microsoft Windows10 operating system, and the hardware configuration is Core i5- 5200U 2.20GHz and 4GB RAM.
[0139] In this embodiment, the environmental data comes from the Meteonorm 8.0 meteorological data set, and the load data includes the independent loads obtained from the active distribution network and the cooling, heating, and electric loads of each CCHP microgrid system, which come from the U.S. Energy Administration Load data of 16 types of commercial reference building information released, take restaurants, supermarkets and shopping centers in the dataset as MG1, hotels and apartment areas as MG2, and office areas as MG3;
[0140] Step 1, establish an active distribution network layer optimization mod...
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The invention relates to an active power distribution network energy hierarchical management optimization method for a multi-microgrid system, and the method is technically characterized in that an active power distribution network energy hierarchical management model containing a combined cooling heating and power supply type multi-microgrid system is constructed, and the model is divided into an active power distribution network layer optimization model and a multi-microgrid system layer optimization model; a multi-microgrid system demand response strategy is introduced, and maximum consumption of renewable energy sources is realized while demand response is considered; introducing four means of nonlinear mapping, a sine and cosine model, a dynamic inertia weight factor and a Levy flight strategy to improve a sparrow search algorithm, setting parameters of the improved sparrow search algorithm for initialization, and updating an optimal position of an iteration population and a corresponding fitness value; and finally, displaying an optimization result of the improved sparrow search algorithm on the energy hierarchical management model. According to the method, the energy hierarchical management problem is optimized, the scheduling flexibility of the electric power system is ensured, and the operation cost of the electric power system is reduced.
Description
technical field [0001] The invention belongs to the technical field of electric power systems, in particular to an optimization method for active power distribution network energy hierarchical management of a multi-microgrid system. Background technique [0002] With the decrease of global fossil energy reserves, the proportion of renewable energy consumption is gradually increasing. Compared with traditional centralized power generation, renewable energy usually participates in the operation of the distribution network in the form of distributed power. Distributed power has the characteristics of less pollution, high efficiency and flexible installation, which is an effective support for large power grids. and powerful supplements. Integrate distributed power sources, energy storage systems and user loads into a modular, miniaturized and decentralized functional network system through centralized control and protection devices, making full use of renewable energy, improvin...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/11H02J3/00H02J3/46
CPCG06Q10/04G06Q10/06315G06Q50/06G06F17/11H02J3/008H02J3/46H02J2203/20
Inventor 李玲玲苗岩孙文治曲立楠李家荣林国乾张惠娟
Owner HEBEI UNIV OF TECH