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Distributed economic dispatch optimization control method

A technology for economic scheduling and optimal control, applied in forecasting, resources, single-network parallel feeding arrangement, etc., can solve problems such as poor convergence, and achieve the effect of avoiding the impact of communication failures and good versatility

Pending Publication Date: 2020-04-17
SHANGHAI DIANJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when the general distributed economic dispatch control method considers the constraint conditions, the convergence of the part beyond the power generation constraint range is poor.

Method used

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  • Distributed economic dispatch optimization control method

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Experimental program
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Embodiment

[0046] This embodiment provides a distributed economic scheduling optimization control method, such as figure 1 shown, including the following steps:

[0047] Step S1: Establish an economic dispatch model related to power generation;

[0048] Step S2: Based on the consensus algorithm, the basic incremental cost of each power generation unit at time k is obtained;

[0049] Step S3: Add frequency-related target attraction items on the basis of the basic incremental cost to obtain the incremental cost of each power generation unit at time k;

[0050] Step S4: Make the incremental cost of each power generation unit at time k approach the optimal value of incremental cost, and obtain the power generation capacity of each power generation unit at time k;

[0051] Step S5: The power generation of each power generation unit at time k is optimized through the PI controller to optimize the economic dispatch model to realize the optimal control of economic dispatch.

[0052] The speci...

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Abstract

The invention relates to a distributed economic dispatch optimization control method. The method comprises the following steps: establishing an economic dispatch model related to power generation; obtaining the basic increment cost of each power generation unit at the moment k based on a consistency algorithm; adding a target attraction item related to the frequency on the basis of the basic increment cost to obtain the increment cost of each power generation unit at the moment k; enabling the increment cost of each power generation unit at the k moment to approach the increment cost optimal value to obtain the power generation capacity of each power generation unit at the k moment; and optimizing the economic dispatching model of the power generation capacity of each power generation unitat the moment k through a PI controller to realize economic dispatching optimization control. Compared with the prior art, balance constraint conditions can be fully met, and real-time adjustment canbe achieved.

Description

technical field [0001] The invention relates to the technical field of distributed energy grid connection, in particular to a distributed economic scheduling optimization control method. Background technique [0002] The essence of economic dispatch (ED) is an optimization problem, the purpose of which is to minimize the total cost of power generation under the condition of satisfying the supply-demand balance and output constraints of each power generation unit. At present, many concentration algorithms have been proposed, including lambda iteration method, gradient search method, interior point algorithm, Newton method and so on. [0003] With the development of renewable energy, smart grid and micro grid, more and more distributed generators (Distributed Generator, DG) are connected to the power system, and there are more and more researches on distributed algorithms, including graph theory-based Consistent distributed optimal economic scheduling method, distributed sche...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06H02J3/38H02J3/46
CPCG06Q10/04G06Q10/06313H02J3/46H02J3/381G06Q50/06Y04S10/50Y02E40/70
Inventor 马婧涵文传博张超张泽正王珏飞
Owner SHANGHAI DIANJI UNIV