Large-scale intermittent energy access mixed energy multi-target robust optimization method

A hybrid energy and optimization method technology, applied in wind power generation, AC network circuits, photovoltaic power generation, etc., can solve problems such as multi-energy joint optimization, achieve multi-energy joint optimization, reliable decision support, and reduce complexity.

Active Publication Date: 2017-05-24
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0003] The purpose of the present invention is to address the shortcomings of the above-mentioned background technology, to provide a mixed energy multi-objective robust optimization method for large-scale intermittent energy access, to realize the multi-energy optimal configuration under the environment of large-scale intermittent energy access, and to solve the problem of Solved the technical problems of multi-energy joint optimization in uncertain environment

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  • Large-scale intermittent energy access mixed energy multi-target robust optimization method
  • Large-scale intermittent energy access mixed energy multi-target robust optimization method
  • Large-scale intermittent energy access mixed energy multi-target robust optimization method

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[0032] Combine below figure 1 The technical solution of the invention is described in detail. The mixed energy multi-objective robust optimization method proposed in the present invention obtains a robust optimization scheme under extreme conditions, realizes multi-energy optimal configuration under large-scale intermittent energy access, and solves the problem of multi-energy joint optimization in an uncertain environment technical challenge.

[0033] Firstly, the uncertainty of intermittent energy output is regarded as the uncertainty cost, and the economy, environmental protection, uncertainty cost and battery charge and discharge cost of hybrid energy optimization are taken as the goals, and load balance constraints and network transmission loss constraints are considered , spinning reserve constraints, output constraints, ramp rate constraints, uncertainty budget constraints, and battery charge and discharge constraints and other constraints, and establish a multi-object...

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Abstract

The present invention provides a large-scale intermittent energy access mixed energy multi-target robust optimization method, belonging to the electric power system automation technical field. Aiming at the nondeterminacy problem of the intermittent energy generation, the concept of the uncertain cost is introduced, the economy, the environmental protection and the nondeterminacy of the electric power system are taken as a target, and the nondeterminacy robust optimization theory is combined to provide a large-scale multi-energy and multi-target robust optimization model. The large-scale system decomposition coordination optimization theory is employed to decompose a link optimization model into a plurality of subsystem multi-target optimization models and perform grade division of the risk degree possibly caused by each uncertainty scheme set, and the scheme with the lowest risk degree is selected as an optimal scheme so as to obtain the optimal solution of each subsystem or a Pareto scheme set; the optimal scheme of each subsystem or the scheme set are fused in the optimal Pareto solution set of the whole system to provide an improved decision support for decision makers.

Description

technical field [0001] The invention discloses a mixed energy multi-objective robust optimization method for large-scale intermittent energy access, and belongs to the technical field of power system automation. Background technique [0002] Due to the access of large-scale wind power, photovoltaic and other intermittent energy sources, the uncertainty of the intermittent energy generation process has an increasing impact on the operational reliability of the power grid system. The traditional optimization algorithm based on deterministic factors does not fully consider the uncertainty of intermittent energy generation, and cannot meet the actual needs of power system operation; while the traditional stochastic optimization method has problems such as difficulty in obtaining the probability density function accurately. Contents of the invention [0003] The purpose of the present invention is to address the shortcomings of the above-mentioned background technology, provide...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/38
CPCH02J3/00H02J3/383H02J3/386H02J2203/20Y02E10/56Y02E10/76
Inventor 张慧峰岳东王程桂解相朋胡松林翁盛煊
Owner NANJING UNIV OF POSTS & TELECOMM
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