Peaking strategy optimization method considering safety constraints of wind power integration system

A technology of safety constraints and optimization methods, which is applied in the field of peak shaving strategy optimization considering the safety constraints of wind power grid-connected systems, and can solve problems such as difficult promotion, power flow exceeding the limit, and failure to consider power flow safety constraints, etc.

Active Publication Date: 2017-05-24
WUHAN UNIV
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Problems solved by technology

Because these studies do not consider the safety constraints of power flow, the peak shaving strategy formulat...

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  • Peaking strategy optimization method considering safety constraints of wind power integration system
  • Peaking strategy optimization method considering safety constraints of wind power integration system
  • Peaking strategy optimization method considering safety constraints of wind power integration system

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Embodiment Construction

[0036] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

[0037] 1. Determination method of unit peak regulation capacity

[0038] The peak shaving capacity of the unit can be defined as the ratio of the adjustable capacity of the unit to the rated capacity, and the adjustable capacity refers to the difference between the maximum output and the minimum output of the unit, namely:

[0039]

[0040] In the formula: α i is the peak regulation depth of conventional unit i; P Gimax is the maximum output of conventional unit i, which can be taken as the rated capacity of the unit; P Gimin is the minimum output of conventional unit i.

[0041] The main peaking units in the power system generally include hydroelectric units, thermal power units and pumped storage. Under the condition that the basic operating conditions of the power system are met, different pe...

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Abstract

The invention relates to a peaking strategy optimization method considering the safety constraints of a wind power integration system. On the basis of analysis of the change in peaking demand of a wind power integration system, an improved optimization model based on thermal power, hydropower and pumped storage joint peaking is built by taking maximum consumption of wind power as the goal and considering factors minimizing peaking generation cost and line loss and meeting power flow safety constraints, and the solving method of the improved optimization model is studied using optimal power flow and particle swarm algorithms. Through the peaking method, an effective peaking unit output scheme can be determined under the premise of ensuring safe and economic operation of the system, the cost of power generation can be reduced effectively, the safety of the system can be ensured, and large-scale wind power can be consumed as much as possible. Finally, the peaking strategy optimization method studied is simulated and verified.

Description

technical field [0001] The invention relates to an optimization method of a peak regulation strategy, in particular to an optimization method of a peak regulation strategy considering the safety constraints of a wind power grid-connected system. Background technique [0002] Due to increasingly severe energy and environmental problems, wind power has been booming. Wind power has been installed since 2004, and its capacity has maintained a high-speed development. However, due to the randomness and intermittent nature of wind power, there may be anti-peaking characteristics, which will give the system peaking. It is difficult to increase demand, so research on peak regulation methods plays an important role in ensuring the safe and economical operation of wind power systems. [0003] At present, some researches are carried out around evaluating the system peak-shaving capability and peak-shaving adequacy of the wind power grid-connected system. For example, for the Northwest ...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/46
CPCH02J3/386H02J3/46H02J2203/20Y02E10/76
Inventor 彭晓涛张彬徐云谷志华毛荀
Owner WUHAN UNIV
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