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Virtual power plant optimization trading strategy model based on two-stage stochastic programming

A virtual power plant and stochastic planning technology, applied in forecasting, resources, instruments, etc., to solve problems such as reducing autonomy

Active Publication Date: 2018-12-07
SICHUAN UNIV
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Problems solved by technology

[0002] In recent years, environmental problems have increased the penetration rate of renewable energy sources (RES) in the power grid. However, due to the randomness of RES output such as wind power and solar energy, it has brought great challenges to the operation of the power grid, and at the same time reduced autonomy to participate in market transactions

Method used

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  • Virtual power plant optimization trading strategy model based on two-stage stochastic programming
  • Virtual power plant optimization trading strategy model based on two-stage stochastic programming
  • Virtual power plant optimization trading strategy model based on two-stage stochastic programming

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Embodiment 1

[0072] The present invention uses the above-mentioned virtual power plant to verify the effectiveness of the proposed model, and uses the CPLEX12.6.0 algorithm package to solve it under the Matlab R2015a environment. The parameters of each component in the virtual power plant are as follows: The gas turbine adopts the TAU5670 model, and the main parameters are shown in Table 1. The a and b in the compensation fee are 1 and 90 respectively; the capacity of the energy storage system is 15MWh, the maximum limit of charging / discharging is 3.5 and 4MW respectively, the initial energy storage is 5MW, and the efficiency coefficient is 80%; the electric vehicle is considered by 1,000 household Nissan LEAFs with a battery capacity of 24KWh are composed. The lower limit and upper limit of battery storage capacity are set to 15% and 95% of the battery capacity respectively. The initial and final storage capacity of each electric vehicle is randomly generated within the upper and lower lim...

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Abstract

The invention discloses a virtual power plant optimization trading strategy model based on two-stage stochastic programming. The virtual power plant optimization trading strategy model based on two-stage stochastic programming comprises the following steps of S1, according to a power market rule, summarizing a VPP bidding process and the theoretical basis such as a multi-scenario technique; S2, establishing the objective function of the virtual power plant optimization trading strategy based on two-stage stochastic programming; S3, establishing the constraint condition of the virtual power plant optimization trading strategy based on two-stage stochastic programming. In consideration of the influence of clean energy output and market electricity price uncertainty on the participation of avirtual power plant in the current market and balanced market bidding strategies, the multi-scenario technique is used to simulate a uncertainty factor and construct the virtual power plant optimization trading strategy model based on two-stage stochastic programming to maximize the operation efficiency of the virtual power plant.

Description

technical field [0001] The invention relates to the technical field of power plant optimization trading strategies, in particular to a virtual power plant optimization trading strategy model based on two-stage stochastic programming. Background technique [0002] In recent years, environmental problems have increased the penetration rate of renewable energy sources (RES) in the power grid. However, due to the randomness of RES output such as wind power and solar energy, it has brought great challenges to the operation of the power grid, and at the same time reduced autonomy in participating in market transactions. Virtual power plant (virtual power plant, VPP) can efficiently integrate RES, distributed energy storage and demand response, effectively reduce the output uncertainty of intermittent RES, thereby improving the competitiveness of VPP when it enters the electricity market and the overall grid connection time. stability. At the same time, with the liberalization of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q30/08G06Q40/04G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q30/08G06Q40/04G06Q50/06Y02E40/70Y04S10/50Y04S50/10
Inventor 高红均周博刘友波
Owner SICHUAN UNIV
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