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Bidding optimization method considering cross-region consumption of renewable energy sources

A technology of renewable energy and renewable energy, applied in resources, calculations, instruments, etc.

Active Publication Date: 2018-03-13
ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a bidding optimization method that takes into account the cross-regional consumption of renewable energy, overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem that the existing bidding optimization method on the power generation side cannot solve the constraints based on the supply and demand balance of UHV lines. Bidding optimization problem for cross-regional consumption of renewable energy by way of equilibrium problem with equilibrium constraints

Method used

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  • Bidding optimization method considering cross-region consumption of renewable energy sources
  • Bidding optimization method considering cross-region consumption of renewable energy sources
  • Bidding optimization method considering cross-region consumption of renewable energy sources

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Embodiment 1

[0079] Embodiment 1: as attached figure 1 , 2 As shown, the bidding optimization method considering the cross-regional consumption of renewable energy includes the following steps:

[0080] Step 1: Construct the cost model of non-renewable energy power stations participating in cross-regional consumption through UHV lines and the cost model of renewable energy power stations participating in cross-regional consumption through UHV lines;

[0081] Step 2: Construct the quotation model for non-renewable energy power stations to participate in cross-regional consumption through UHV lines and the quotation model for renewable energy power stations to participate in cross-regional consumption through UHV lines;

[0082] Step 3: Construct the revenue model of the day-ahead market for non-renewable energy power station cross-regional consumption and the revenue model of the day-ahead market for renewable energy power station cross-regional consumption;

[0083] Step 4: Construct the...

Embodiment 2

[0140] Embodiment 2: as attached figure 1 , 2 , 3, 4, 5, 6, 7, 8, 9, 10, Table 1, 2, attached figure 2 The UHV line shown has a rated capacity of 8000MW and a length of 2100km. In this embodiment, thermal power plants are selected as typical representatives of non-renewable energy power plants, and wind farms and photovoltaic power plants are typical representatives of renewable energy power plants. , carbon emission price p in the receiving region cr = 200 yuan / t, carbon emission price p in the send-end area ct =100 yuan / t, the conversion factor of carbon emission per unit of thermal power is μ=1.3t / MWh, the adjustment rate of thermal power units is 2% / min, and the proportional coefficient of penalty cost is k f = 1.1, on-grid electricity price p at the sending end TG =288 yuan / MW·h, on-grid electricity price at receiving end p RG = 439 yuan / MW h, UHV line transmission and distribution price p T =104 yuan / MW·h, each trading session interval is 15 minutes, namely H=96. ...

Embodiment 3

[0144] Embodiment 3: as attached figure 1 , 2 , 3, 11, 12, 13, 14, 15, 16, 17, Table 3, 4, attached figure 2 The UHV line shown has a rated capacity of 8000MW and a length of 2100km. In this embodiment, thermal power plants are selected as typical representatives of non-renewable energy power plants, and wind farms and photovoltaic power plants are typical representatives of renewable energy power plants. , carbon emission price p in the receiving region cr = 200 yuan / t, carbon emission price p in the send-end area ct =100 yuan / t, the conversion factor of carbon emission per unit of thermal power is μ=1.3t / MWh, the adjustment rate of thermal power units is 2% / min, and the proportional coefficient of penalty cost is k f = 1.1, on-grid electricity price p at the sending end TG =288 yuan / MW·h, on-grid electricity price at receiving end p RG = 439 yuan / MW h, UHV line transmission and distribution price p T =104 yuan / MW·h, each trading session interval is 15 minutes, namely...

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Abstract

The invention relates to the technical field of electricity side bidding optimization, in particular to a bidding optimization method considering cross-region consumption of renewable energy sources.The method comprises the following steps of 1, building cost models of a non-renewable energy resource power station and a renewable energy resource power station in cross-region consumption; 2, building quotation models of the non-renewable energy resource power station and the renewable energy resource power station in cross-region consumption; 3, building income models of day-ahead markets of the non-renewable energy resource power station and the renewable energy resource power station in cross-region consumption; 4, building income models of intra-day markets of the non-renewable energy resource power station and the renewable energy resource power station in cross-region consumption; 5, judging whether ultra-high-voltage line supply and demand meet an ultra-high-voltage line supply and demand balance constraint condition or not; and 6, solving a balance problem with a balance constraint. According to a simulation result, the incomes are maximized by changing corresponding quotation parameters; the consumption level of the renewable energy source power station is improved through the ultra-high-voltage line; and both the non-renewable energy resource power station and the renewable energy resource power station achieve relatively high incomes.

Description

technical field [0001] The invention relates to the technical field of electricity-side bidding optimization, and relates to a bidding optimization method that takes into account the cross-regional consumption of renewable energy. Background technique [0002] In recent years, my country's renewable energy has developed rapidly and achieved world-renowned development achievements, but at the same time, the "three wastes" of renewable energy "abandoning wind", "abandoning light" and "abandoning water" are also continuously deteriorating. In the case of limited local consumption capacity of renewable energy, cross-regional consumption can effectively utilize the complementarity between multi-regional electricity load and renewable energy output, and significantly improve the overall renewable energy consumption capacity. Due to the volatility and randomness of renewable energy generation such as wind power and photovoltaic power generation, simply sending renewable energy will...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06315G06Q10/0637G06Q50/06Y02E40/70Y04S10/50
Inventor 陈宁孙谊媊祁晓笑高丙团凌静马婷婷于永军秦艳辉翟保豫朱鹏朱建华张磊王湘艳曲立楠孙冰张斌李宛儒刘国营亢朋朋
Owner ELECTRIC POWER SCI RES INST OF STATE GRID XINJIANG ELECTRIC POWER
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