Wind power eliminating method considering the interruptible load and the day-ahead hour electricity price

A technology of wind power consumption and electricity price, applied in the field of smart grid, can solve the problems of lack of multiple demand responses, inflexible electricity price mechanism, single demand response project, etc., to achieve the effect of flexible electricity price, stable load transfer, and improved efficiency

Inactive Publication Date: 2018-08-28
NANJING UNIV OF SCI & TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, domestic and foreign research on demand response to promote wind power consumption is mostly a single demand respon

Method used

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  • Wind power eliminating method considering the interruptible load and the day-ahead hour electricity price
  • Wind power eliminating method considering the interruptible load and the day-ahead hour electricity price
  • Wind power eliminating method considering the interruptible load and the day-ahead hour electricity price

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Embodiment 1

[0083] Step 1. The calculation example adopts the IEEE30 node 6-computer system, and the system wiring is as follows: figure 2 , thermal power unit parameters are shown in Table 1. The positive and negative spinning reserve is the sum of 10% of load response and 15% of wind power. Load forecasting and wind power forecasting power such as image 3 shown. A wind farm is connected to 7 nodes, and the actual output power of wind power is expressed in the form of the predicted wind power output and the wind deviation. And use the synchronous back-substitution elimination method to cut down to 10 benchmark scenes. Generated benchmark scenarios such as Figure 4 shown.

[0084] Table 1 Parameters of thermal power units

[0085]

[0086] Step 2. According to the relationship between the user's historical load data and the electricity price, fit the user's demand price curve function, and establish the response model of the user's daily hourly electricity price. The number o...

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Abstract

The invention discloses a wind power eliminating method considering the interruptible load and the day-ahead hour electricity price. A day-ahead hour electricity price optimization and an interruptible load under a wind power uncertainty condition are established to participate in a standby power system dispatching two-layer planning model containing wind power, and the outer layer is a day-aheadhour electricity price optimization model, and the inner layer is a daily electric power system dispatching model. A random scheduling method is adopted, and the optimal day-ahead hour electricity price, the wind electricity eliminating and electricity system economic dispatching in a plurality of scenes can be realized. According to the invention, the non-flexibility of the single electricity price and the peak-valley time-sharing electricity price is overcome, and the system abandoning amount is reduced. The power generation efficiency of the power grid is improved, the peak shaving capacityof the power grid is improved, the power generation cost of the thermal power generation is reduced, and the benefit of the user is increased.

Description

technical field [0001] The invention belongs to the field of smart grids, and in particular relates to a method for accommodating wind power in consideration of interruptible loads and hourly electricity prices before the day. Background technique [0002] Facing the increasingly severe energy supply situation and climate change issues, the use of renewable energy has become one of the important measures for countries to adjust their energy structure and achieve sustainable development. As a renewable energy with mature technology and high reliability, wind power has developed rapidly in recent years. With the continuous expansion of wind power scale, the traditional dispatching mode requires sufficient system reserve capacity on the power generation side to cope with the impact of wind power intermittency and volatility, but the current reserve resources on the power generation side are very limited, resulting in system peak regulation Insufficient capacity makes it diffic...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06312G06Q10/06315G06Q50/06Y02E40/70Y04S10/50
Inventor 张瑶徐野驰陈佳欣邱蕴锋戚向阳
Owner NANJING UNIV OF SCI & TECH
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