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Big-data-based multi-transaction energy coordination optimization method and device

A coordinated optimization and big data technology, applied in data processing applications, market forecasting, marketing, etc., can solve the problems of lack of trading strategies and inability to adapt to the needs of the development of the power market, and achieve the effect of promoting optimal allocation

Inactive Publication Date: 2018-12-11
BEIJING KEDONG ELECTRIC POWER CONTROL SYST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In addition, the current power market trading strategy studies the power purchase problem in a single market, and there is still a lack of trading strategies that consider multiple markets, multiple trading varieties, and multiple time periods, which cannot meet the needs of the current power market development

Method used

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  • Big-data-based multi-transaction energy coordination optimization method and device
  • Big-data-based multi-transaction energy coordination optimization method and device
  • Big-data-based multi-transaction energy coordination optimization method and device

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Embodiment 1

[0034] Such as figure 1 As shown, it is a flow chart of a method for coordinating and optimizing multivariate trading energy based on big data provided by an embodiment of the present invention, consisting of figure 1 Visible, this method comprises the following steps:

[0035] Step S101: Obtain electricity price characteristic data and historical electricity price data of multiple target electricity markets; the electricity price characteristic data includes historical electricity price characteristic data at multiple times and predicted electricity price characteristic data at target moments; the electricity price characteristic data includes: market supply and demand relationship, Online bidding for power generation, user load demand, fuel price and price index; the multiple target power markets mentioned above include at least: day-ahead market, real-time market and forward contract market.

[0036] The price of electricity in the electricity market is affected by some ke...

Embodiment 2

[0060] exist figure 1 on the basis of figure 2 , is a flow chart of another big data-based multivariate trading energy coordination and optimization method provided by the embodiment of the present invention, in figure 2 In the illustrated embodiment, after the step of acquiring the electricity price characteristic data and historical electricity price data of a plurality of target electricity markets, the method further includes: normalizing and processing the electricity price characteristic data.

[0061] Here, the formula for normalizing the electricity price characteristic data is:

[0062]

[0063]

[0064] In the formula, X i Indicates the actual value of the characteristic element in the electricity price characteristic data, X i ' is the normalized data value, is the average value of the characteristic elements in the electricity price characteristic data, and m is the total number of data. Generally, the time period of m data just constitutes the time in...

Embodiment 3

[0097] see Figure 4 , which is a schematic structural diagram of a large data-based multi-trade energy coordination and optimization device provided by an embodiment of the present invention, consisting of Figure 4 It can be seen that the device includes a data acquisition module 41 , an electricity price sequence construction module 42 , a similar electricity price sequence search module 43 , a transaction electricity price calculation module 44 and an optimal power purchase combination calculation module 45 which are connected in sequence. Among them, the functions of each module are as follows:

[0098] The data acquisition module 41 is used to obtain electricity price characteristic data and historical electricity price data of multiple target power markets; the electricity price characteristic data includes historical electricity price characteristic data at multiple times and predicted electricity price characteristic data at target moments; the electricity price chara...

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Abstract

The invention provides a big-data-based multi-transaction energy coordination optimization method and device, which relate to the technical field of a power market transaction strategy. The method comprises the following steps: acquiring power price characteristic data and historical power price data of a plurality of target power markets; according to the forecasted electricity price characteristic data, constructing a forecasted electricity price sequence, and according to the historical electricity price characteristic data, constructing a historical electricity price sequence; performing similarity analysis to find a similar electricity price sequence similar to the forecasted electricity price sequence from the historical electricity price sequence; calculating a trading price of theplurality of target power markets at a target time according to the similar power price sequence and the historical power price data; according to the transaction price, calculating the optimal purchasing combination of users in multiple target power markets is calculated. The big-data-based multi-transaction energy coordination and optimization method and device provided by the embodiment of theinvention can predict the electricity price of the electric power market, provide the trading strategies of multi-markets, multi-time periods and multi-transaction varieties, and promote the optimalallocation of electric power resources.

Description

technical field [0001] The invention relates to the technical field of electricity market trading strategies, in particular to a large data-based multi-trade energy coordination and optimization method and device. Background technique [0002] With the reform and development of the electricity market, trading varieties and trading methods have become more abundant, and a market pattern of "multi-market-multi-trading varieties-multi-time period" has gradually formed. In the electricity market environment, the sharp fluctuation of electricity price will bring huge risks to the members of the electricity market. The volatility of electricity prices makes more and more market designers and participants realize the importance of electricity price forecasting and the risks it brings. [0003] In addition, the current electricity market trading strategy studies the electricity purchase problem in a single market, and still lacks a trading strategy that considers multiple markets, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q50/06
CPCG06Q10/04G06Q30/0206G06Q50/06
Inventor 王海宁王蕾严宇代勇方印高春成王清波张倩习培玉王春艳吴雨健吕经纬吕俊良汪涛袁明珠李守宝肖锋
Owner BEIJING KEDONG ELECTRIC POWER CONTROL SYST
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