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New energy access and grid extension optimization method considering wind power uncertainty

A technology of uncertainty and optimization method, applied in wind power generation, single grid parallel feeding arrangement, etc., can solve problems such as line power flow exceeding limit, wind power output fluctuation, affecting wind power consumption, etc.

Active Publication Date: 2020-04-28
国网宁夏电力有限公司经济技术研究院 +1
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Problems solved by technology

At present, in actual engineering, access planning and grid planning are relatively independent. When the wind power access node system is relatively weak in the results of deterministic planning, large fluctuations in wind power output may cause line flow to exceed the limit and affect wind power consumption.

Method used

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  • New energy access and grid extension optimization method considering wind power uncertainty
  • New energy access and grid extension optimization method considering wind power uncertainty
  • New energy access and grid extension optimization method considering wind power uncertainty

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Embodiment Construction

[0079] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0080] For large-scale new energy cluster access, the access location and access method have a great impact on the operation and planning of the regional power grid, coupled with the randomness and volatility of new energy output, the traditional deterministic independent planning is no longer In the fully applicable situation, the invention considers the uncertainty of new energy output, and on the basis of typical days, uses the scenario method to conduct random optimization, aiming at the minimum sum of the total construction cost, operation cost and wind curtailment penalty cost of connection and expansion , to optimize the new energy access mode and grid expansion considering the uncertainty of wind power. The planning model established by the present invention is a mixed-integer linear programming problem (Mixed-Integer Linear P...

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Abstract

The invention discloses a new energy access and grid extension optimization method considering wind power uncertainty, which comprises the steps of generating a large number of wind power output uncertainty scenes through random sampling of a Monte Carlo method in consideration of the uncertainty of wind power output, and perform scene reduction by using a synchronous back substitution method; andestablishing a mixed integer programming model, planning a large-scale wind power cluster access mode and regional grid extension in an overall planning manner by taking the minimum sum of the accessand extension total construction cost, the operation cost and the wind curtailment punishment cost as a target, and solving a globally optimal solution by adopting a commercial solver, thereby realizing overall economic optimization on the premise of consuming as much new energy as possible.

Description

technical field [0001] The invention belongs to the technical field of new energy access and grid optimization, and in particular relates to an optimization method for new energy access and network frame expansion considering the uncertainty of wind power. Background technique [0002] Energy is the basis and driving force for social and economic development. With the gradual depletion of fossil energy and the intensification of environmental pollution, traditional fossil fuel power generation is gradually replaced by renewable energy, and vigorously developing new energy has become the consensus of all countries. New energy access planning and access regional grid planning are the prerequisites for the utilization of new energy, and are of great significance for promoting the development of renewable energy, absorbing and improving social energy utilization efficiency, and national energy conservation and emission reduction. [0003] With the continuous increase of the pro...

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Application Information

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IPC IPC(8): H02J3/46H02J3/38
CPCH02J3/46Y02E10/76
Inventor 车彬赵雪珺杨文华何川党东升刘天琪冯雪宫建锋赵亮
Owner 国网宁夏电力有限公司经济技术研究院
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