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Optimized scheduling method for wind-solar storage hybrid system

A technology for optimizing scheduling and hybrid systems, applied in the field of power scheduling, can solve the problems of not considering the adjustment capacity of the unit and the high cost of energy storage equipment, and achieve the effect of saving adjustment amount and reducing capacity

Active Publication Date: 2018-07-20
南京鼎竹电力设备工程有限公司
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Problems solved by technology

Most of the current systems use energy storage equipment to adjust the prediction error of clean energy such as wind and solar, without considering the adjustment ability of the unit itself, which brings a great burden to the energy storage equipment, and the cost of the energy storage equipment is particularly high

Method used

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  • Optimized scheduling method for wind-solar storage hybrid system
  • Optimized scheduling method for wind-solar storage hybrid system
  • Optimized scheduling method for wind-solar storage hybrid system

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Embodiment 1

[0104] The specific implementation parameters of this embodiment are shown in Table 1 and Table 2 below, where Table 1 shows some parameter settings of the three thermal power units, including maximum and minimum power, maximum and minimum ramp values, and power generation cost coefficients, and Table 2 shows the wind farm And parameter settings of photovoltaic power plants, including total installed capacity, reserve ratio and adjustment cost coefficient.

[0105] Table 1 thermal power unit parameter list

[0106]

[0107] Table 2 Wind farm and photovoltaic power station parameter table

[0108]

[0109] Using the method of the present invention to optimize dispatching, the load prediction curve of a certain day in summer is as follows image 3 shown. The day-ahead forecast curve of wind power and photovoltaic energy output is as follows: Figure 4 As shown, it can be seen that in a day, the wind energy is weak at noon and the photovoltaic energy is sufficient; at ni...

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Abstract

The invention discloses an optimized scheduling method for a wind-solar storage hybrid system. A wind-solar output power reference value is set and day-ahead prediction output curves and load prediction curves of wind power and photovoltaic energy are obtained; a wind-solar storage energy output curve as well as an operation mode of an energy storage device are determined; a multi-objective optimization scheduling model is established by taking intra-day operation cost minimization of system scheduling as an optimization objective; and then an input load prediction curve, a wind-solar storageenergy output curve and the operation mode of the energy storage device are inputted, and the optimization scheduling model is calculated by using an improved particle swarm optimization algorithm toobtain a day-ahead set combination output curve. According to the invention, with utilization of the complementary characteristic and frequency modulation capability of the wind-solar energy, the frequency regulation pressures of the energy storage device and the conventional energy set are reduced; and with consideration of the frequency safety constraint, the optimal operation mode of the wind-solar storage hybrid energy system is determined, so that the economic and security of the operation of the hybrid energy system are improved.

Description

technical field [0001] The invention relates to electric power dispatching technology, in particular to an optimal dispatching method of a wind-solar-storage hybrid system. Background technique [0002] Since the 21st century, problems such as energy shortage and environmental pollution have become increasingly prominent and have become important factors restricting economic development. In order to solve environmental problems and the sustainability of energy supply, clean energy such as geothermal energy, wind power generation, and photovoltaic power generation have been developed. [0003] In the traditional optimal scheduling, only one disturbance element—load is considered, and a certain reserve capacity is set to deal with load fluctuations. With the traditional optimal scheduling scheme, the prediction error can be controlled below 5%, and the backup ratio required to deal with this part of the fluctuation is also very small. When all kinds of clean energy are integ...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/28H02J3/46
CPCH02J3/28H02J3/383H02J3/386H02J3/46H02J2203/20Y02E10/56Y02E10/76Y02E70/30
Inventor 徐野驰张瑶陈佳欣戚向阳
Owner 南京鼎竹电力设备工程有限公司
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