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Two-level optimization method for grid-connected microgrid based on two-level demand response

A double-layer optimization and demand-response technology, applied in AC network circuits, electrical components, circuit devices, etc., to achieve the effect of improving convergence speed and accuracy, promoting efficient development and utilization, and improving output stability

Active Publication Date: 2021-09-07
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0006] The present invention is aimed at the problem that economic operation and optimal scheduling are important topics in microgrid research, and proposes a two-level optimization method for grid-connected microgrid based on two-level demand response, fully considering the demand side response based on time-of-use electricity price. Construct a reasonable two-layer optimization model of grid-connected microgrid and use the proposed genetic algorithm based on simulated annealing to solve the model to minimize the operating cost of the microgrid. The implementation mainly considers direct load control. When dispatched, the corresponding load shedding

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  • Two-level optimization method for grid-connected microgrid based on two-level demand response
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  • Two-level optimization method for grid-connected microgrid based on two-level demand response

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Embodiment Construction

[0027] In the following, the present invention will be further described from several aspects such as the optimization model of the micro-grid layer, the optimization model of the demand response layer, the model solving algorithm, and the validity verification.

[0028] 1. Micro-grid layer optimization model

[0029] In order to minimize the comprehensive cost, this paper constructs a comprehensive objective function including system investment depreciation cost, operation and maintenance cost, environmental benefit cost, and electricity purchase and sale cost for the grid-connected microgrid including micro-turbine, wind-solar storage and demand-side load.

[0030] 1.1 Objective function

[0031] The objective function to calibrate the comprehensive cost of the system is

[0032]

[0033] In the formula, F is the comprehensive daily operation cost of the system; is the depreciation cost of the investment; for operating and maintenance costs; cost for environmental ...

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Abstract

The invention relates to a two-level optimization method for grid-connected microgrids based on two-level demand response. The demand response layer guides users to actively track the power generation output of clean energy through one-level optimization, promotes the efficient development and utilization of clean energy, and improves the efficiency of clean energy. The proportion in the terminal energy consumption, through the adjustment of the demand load through the secondary optimization, forms a more stable power load operation state and improves the output stability of the controllable micro-source. On this basis, the microgrid layer minimizes the comprehensive operating cost from the perspective of microgrid economy. Fully consider the demand side response based on the time-of-use electricity price to construct a reasonable two-layer optimization model of the grid-connected microgrid and adopt the proposed genetic algorithm based on simulated annealing to solve the model, which improves the convergence speed and accuracy of the model solution.

Description

technical field [0001] The invention relates to a micro-grid economic optimization scheduling technology, in particular to a two-level optimization method for a grid-connected micro-grid based on two-level demand response. Background technique [0002] With the increasingly prominent environmental and energy issues, distributed energy has become a research hotspot in the industry due to its environmental friendliness and renewable characteristics. However, when directly connected to the grid, its volatility and intermittency will bring many problems such as power quality and operation stability to the grid (such as literature 1: Yu Jiancheng, Chi Fujian, Xu Ke, etc. The impact of distributed power access on the grid Analysis [J]. Power System and Automation Acta, 2012, 24(1): 138-141; Literature 2: Ahn S J, Nam S R, Choi J H, etal.Power Scheduling of Distributed Generators for Economic and StableOperation of a Microgrid[ J]. IEEE Transactions on Smart Grid, 2013, 4(1): 398-...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06H02J3/46H02J3/38H02J3/28
CPCG06Q10/04G06Q50/06H02J3/382H02J3/28H02J3/46H02J2203/20
Inventor 米阳李战强韩云昊何星瑭宋根新李振坤符杨苏向敬
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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