Grid-connecting micro-grid double-layer optimization method based on two-stage demand response

A double-layer optimization and demand-response technology, applied in the direction of AC network circuits, electrical components, circuit devices, etc., to achieve the effects of improving output stability, reducing comprehensive operating costs, and increasing proportions

Active Publication Date: 2018-05-08
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

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  • Grid-connecting micro-grid double-layer optimization method based on two-stage demand response
  • Grid-connecting micro-grid double-layer optimization method based on two-stage demand response
  • Grid-connecting micro-grid double-layer optimization method based on two-stage 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 grid-connecting micro-grid double-layer optimization method based on two-stage demand response. A demand response layer guides a user actively track clean energy power generation output in power consumption through one-stage optimization, thereby promoting high-efficiency development and utilization of the clean energy, and increasing ratio of the clean energy in terminal energy consumption. Through demand load adjustment by two-stage optimization, a more stable electric power load operation state is formed and output stability of a controllable micro-source is improved. A micro-grid layer minimizes comprehensive operation cost at the aspect of economic property of the micro-grid based on the method. A reasonable grid connecting micro-grid double-layer optimization model is constructed through sufficiently considering the demand-side response based on time-variable electricity price, and furthermore the model is solved by a heredity algorithm based on simulated annealing, thereby improving convergence speed and precision in model solving.

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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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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