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Day-ahead unit commitment method giving consideration to new energy consumption and trade execution

A technology for unit combination and transaction execution, which is applied in wind power generation, AC network circuits, single-network parallel feeding arrangements, etc., and can solve problems such as inapplicable day-ahead power optimization scheduling

Active Publication Date: 2018-05-25
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing research mainly focuses on the wholesale competitive market. The research on bilateral transactions, especially the quantitative analysis research, is still insufficient, and most of them focus on the game model, quotation strategy, annual and monthly decomposition of bilateral transactions, etc., which cannot be applied to various power sources. Day-Ahead Power Optimal Dispatch under Contract Type

Method used

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  • Day-ahead unit commitment method giving consideration to new energy consumption and trade execution
  • Day-ahead unit commitment method giving consideration to new energy consumption and trade execution
  • Day-ahead unit commitment method giving consideration to new energy consumption and trade execution

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0142] The embodiment system of this paper is as image 3 , including: 3 thermal power plants, 7 thermal power units, a wind farm, and the power flow limit of line A-E is 110MW. The parameters of thermal power units are shown in Table 1, the load and wind power forecast data are shown in Table 2, and the information of bilateral contracts and three-public contracts are shown in Table 3.

[0143] Table 1 Power Plant Unit Parameters

[0144]

[0145]

[0146] Table 2 Load and wind power forecast data

[0147]

[0148] Table 3 Power Plant Contract Information

[0149] power plant

Bilateral contract / MW*h

Three public contracts / MW*h

Cumulative / MW*h

contract reduction factor

A

6447

1611.75

8058.75

0.5

B

1074.5

268.63

1343.13

0.083

D

5372.5

1343.13

6715.63

0.417

[0150] Assuming that the wind power prediction error distribution is a piecewise exponential distribution, the confidence inter...

Embodiment 2

[0168] The system of Embodiment 2 is the same as that of Embodiment 1, except that the bilateral contract is a power plant power contract, and the contract information is shown in Table 8. According to the statistics of power plant contract information in Table 8, the contract reduction factor of each power plant is calculated, as shown in Table 9.

[0169] Table 8 Bilateral Power Contract Information of Power Plants

[0170] period of time

Bilateral power curve of power plant A

Bilateral power curve of power plant B

Power plant D bilateral power curve

1

258.625

29.77083

243.8542

2

258.625

29.77083

243.8542

3

258.625

29.77083

243.8542

4

278.625

29.77083

243.8542

5

278.625

29.77083

243.8542

6

278.625

29.77083

243.8542

7

248.625

29.77083

233.8542

8

248.625

44.77083

233.8542

9

248.625

44.77083

233.8542

10

253.625

4...

Embodiment 3

[0192] Assume that the bilateral contract is the unit power bilateral contract information as shown in Table 14. According to Table 14, the contract information of each power plant is counted, and the contract reduction factor of each power plant is calculated. The calculation results are the same as Table 9.

[0193] Table 14 Bilateral Power Contract Information for Units

[0194]

[0195]

[0196] (1) Select M 1 , M 2 10000 and 1 respectively, W 1 , W 2 4 and 1 respectively. Under Case 1 and Case 2, consider transaction execution and line power flow, and compare the impact on transaction execution and power generation costs under the power plant power contract without wind power, considering forecast wind power, and considering wind power volatility, as shown in Tables 15 and 16.

[0197] Table 15 The impact on transaction execution and power generation cost when considering wind power and tidal current in case1

[0198]

[0199] Table 16 The impact on transacti...

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Abstract

The invention provides a day-ahead unit commitment method giving consideration to new energy consumption and trade execution. The method comprises the following steps: acquiring data of a power generation side and a power utilization side, determining a wind power output confidence interval, establishing a corresponding day-ahead scheduling optimization model according to bilateral contract type,and determining a day-ahead unit commitment and a power generation plan. The technical scheme provided by the invention considers the volatility of the wind power, and guarantees the unit commitment reliability when the wind powder is in any fluctuation in the confidence interval, and the consumption on the wind power by the system; and the technical scheme further considers the coordination between the trade execution and the power generation economy, so that the execution of the trade and the economy of the power generation are well balanced; the coordination of the trade execution between the power plants is ensured, and the fairness between the power plants is guaranteed; and the mutual influence among the flow restraint, the trade execution and the new energy consumption is determined.

Description

technical field [0001] The invention relates to a power market technology and a new energy consumption technology, in particular to a day-ahead unit combination method that takes both new energy consumption and transaction execution into consideration. Background technique [0002] The uncertainty of large-scale intermittent energy output poses new challenges to the safe and economical operation of the power grid. In order to ensure the safe operation of the power grid and promote the consumption of intermittent energy, it is necessary for the power grid to have sufficient peak-shaving capacity to ensure real-time power balance. When the scale of wind power grid connection is small, the safety of grid operation can be ensured by adding backup. With the expansion of wind power grid-connected scale, wind power may fluctuate greatly in a short period of time. Since the increased reserve energy does not consider the changes in wind power in detail, other power sources will not ...

Claims

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Application Information

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IPC IPC(8): H02J3/46
CPCH02J3/46H02J2203/20Y02E10/76
Inventor 刘芳潘毅崔晖
Owner CHINA ELECTRIC POWER RES INST
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