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Multi-energy local area network optimization scheduling method of two-stage hierarchical optimization algorithm

An optimization algorithm and optimization scheduling technology, applied in the direction of resources, computing, computing models, etc., can solve the problem of lack of energy competition and optimization of multiple energy LANs, so as to facilitate real-time supply and demand balance, alleviate the demand for power supply, and reduce impact. Effect

Pending Publication Date: 2021-08-13
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the current research on the regional energy Internet is more focused on the internal energy balance and optimization of a single energy local area network or energy Internet, and lacks energy competition and optimization among multiple energy local area networks.

Method used

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  • Multi-energy local area network optimization scheduling method of two-stage hierarchical optimization algorithm
  • Multi-energy local area network optimization scheduling method of two-stage hierarchical optimization algorithm
  • Multi-energy local area network optimization scheduling method of two-stage hierarchical optimization algorithm

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Embodiment 1

[0048] refer to figure 1 , as an embodiment of the present invention, provides a multi-energy local area network optimal scheduling method of a two-stage hierarchical optimization algorithm, including:

[0049] S1: According to the benefits to power buyers, use the benefit function to establish a power game model. It should be noted that,

[0050] The power game model includes user model, power grid company model and energy local area network model.

[0051] Furthermore, establishing a user model includes:

[0052] It is assumed that the user model N is composed of n users, including pure load consumption users and energy local area networks with insufficient production capacity, and the user set is recorded as N={1, 2, 3, n}, and the corresponding geographic location vector is recorded as L n =[L 1 , L 2 , L 3 ,··········L n ], users can choose a power supplier according to the electricity price vector provided by each power supplier and the area they are in. The user...

Embodiment 2

[0112] Set the global total number of iterations to 100, initialize the relevant parameters of the particle swarm optimization algorithm, and conduct an example analysis of the optimal scheduling algorithm proposed by the present invention.

[0113] In a power supply regional energy Internet, there are 2 large power buyers with different types of household electricity and 3 energy local area networks with different types of power generation to prepare for power trading. Taking one day as a trading cycle, take Δt=2h, and divide a day into 12 time period, the power consumption matrix of two users can be obtained as:

[0114]

[0115] Bring the experimental data into the electricity price model formula, and get the electricity price and electricity model of the power supply company:

[0116]

[0117]

[0118] Bring the experimental data into the relevant model of the energy local area network, and get the electricity price initialization model of the energy local area ne...

Embodiment 3

[0145] refer to figure 2 It is another embodiment of the present invention. In order to verify and illustrate the technical effect adopted in this method, this embodiment adopts the traditional single-layer optimization algorithm and the method of the present invention to carry out comparative tests, and compares the test results by means of scientific demonstration to verify this method. the real effect it has.

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Abstract

The invention discloses a multi-energy local area network optimization scheduling method based on a two-stage hierarchical optimization algorithm, and the method comprises the steps: building an electric power game model according to the earnings of electricity purchasing users through a benefit function; performing benefit maximization processing on the electric power game model; solving an optimal combination strategy of the electric power game model by using a two-stage hierarchical optimization algorithm, and taking the optimal combination strategy as a scheduling means of the multi-energy local area network. According to the invention, on-site / near consumption of renewable energy in the energy local area network is facilitated, real-time supply and demand balance of the regional energy internet is facilitated, energy interaction among a plurality of local area networks is enhanced, the demand of users and the energy local area network with insufficient capacity for supplying power to a power grid company for many times is relieved, and the impact on a large power grid and the power purchase cost of the users are reduced.

Description

technical field [0001] The present invention relates to the technical field of energy Internet optimal scheduling, and in particular to a multi-energy local area network optimal scheduling method with a two-stage layered optimization algorithm. Background technique [0002] With the gradual deterioration of the fossil energy crisis and environmental problems, establishing a more efficient, safe and sustainable energy development and utilization model has become an inevitable choice for the future development of the energy industry. Establishing an efficient and safe multi-energy production and utilization network with renewable energy as the main primary energy is the core goal of realizing the Energy Internet. How to deal with the fluctuation and intermittency of renewable energy power generation output is the main problem that needs to be solved. [0003] The energy local area network is a typical subnet of the energy Internet, which mainly serves end users in a certain ar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q10/0631G06Q50/06
Inventor 夏飞王亚杰张传林谢琪龚春阳
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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