Optimization method for new energy access and grid expansion considering wind power uncertainty

An uncertainty and optimization method technology, applied in wind power generation, single-network parallel feeding arrangement, etc., can solve problems such as wind power output fluctuations, line flow exceeding the limit, and affecting wind power consumption

Active Publication Date: 2021-03-02
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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  • Optimization method for new energy access and grid expansion considering wind power uncertainty
  • Optimization method for new energy access and grid expansion considering wind power uncertainty
  • Optimization method for new energy access and grid expansion 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 network frame expansion optimization method considering the uncertainty of wind power. Considering the uncertainty of wind power output, a large number of uncertain wind power output scenarios are randomly generated by Monte Carlo method, and synchronous back generation is used. Scenario reduction using the method; establish a mixed integer programming model, with the goal of minimizing the sum of the total construction cost, operation cost, and wind curtailment penalty cost of connection and expansion, and coordinate the planning of large-scale wind power cluster access methods and regional grid expansion. A commercial solver is used to find the global optimal solution to achieve the optimal overall economy under the premise of absorbing 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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