A method of energy storage point distribution and constant capacity comprehensive wind power year-round and multi-seasonal characteristics

A multi-season, battery energy storage technology, applied in the field of electrical engineering, can solve the problems of poor economy and inability to effectively alleviate the adjustment ability, so as to avoid excessive investment, improve the overall economy, and promote the effect of wind power consumption

Active Publication Date: 2020-02-21
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides an energy storage location constant capacity method that integrates the multi-seasonal characteristics of wind power throughout the year, thus solving the problem of poor economy and inability to effectively alleviate the problem caused by insufficient adjustment capacity in the prior art. The technical problems caused by wind curtailment

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  • A method of energy storage point distribution and constant capacity comprehensive wind power year-round and multi-seasonal characteristics
  • A method of energy storage point distribution and constant capacity comprehensive wind power year-round and multi-seasonal characteristics
  • A method of energy storage point distribution and constant capacity comprehensive wind power year-round and multi-seasonal characteristics

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Embodiment 1

[0107] Embodiment 1 of the present invention is based on the improved IEEE14 node system, and the grid parameters remain unchanged, but on this basis, two wind turbines are added to the system. At the same time, the system includes two types of energy storage, battery energy storage and pumped hydro storage. Include the following steps:

[0108] 1. Obtain grid parameters and energy storage parameters. The IEEE 14-node system includes 14 nodes, 6 conventional units, and 20 branches. The power grid parameters: generator parameters, system load parameters, and branch parameters are shown in Tables 1 to 3. The line-node association matrix A is generated from the serial numbers of the start node and end node in Table 3, and the line admittance b l It is the reciprocal of the branch impedance in Table 3. Line transmission capacity P l max See Table 3. The spinning reserve ratio R is set to 0.05. Node 11 is selected as the wind power transmission line node of the system, and t...

Embodiment 2

[0139] Embodiment 2 of the present invention is based on the improved IEEE39 node system, and the grid parameters remain unchanged, but on this basis, two wind turbines are added to the system. At the same time, the system includes two types of energy storage, battery energy storage and pumped hydro storage. Include the following steps:

[0140] 1. Obtain grid parameters and energy storage parameters. The IEEE 39-node system includes 39 nodes, 7 conventional units, 3 wind turbines, and 46 branches. The grid parameters: generator parameters, system load parameters, and branch parameters are shown in Table 10-12. The line-node association matrix A is generated from the serial numbers of the start node and end node in Table 12, and the line admittance b l It is the reciprocal of the branch impedance in Table 12. Line transmission capacity F l max See Table 12. The spinning reserve ratio R is set to 0.05. Node 11 is selected as the wind power transmission line node of the s...

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Abstract

The invention discloses an energy storage siting and sizing method integrating wind power year-round multi-season features. The method includes the following steps that: power grid parameters and energy storage parameters are obtained, and an objective function to minimize the sum of operating costs, energy storage investments, wind curtailment penalties and delivery costs is adopted to build an operation simulation-based energy storage planning model; and positions where battery energy storage demand is the hugest are identified through multi-scene analysis, and are adopted as battery energystorage optional nodes, an energy storage demand ratio and an equivalent year-round maximum energy storage demand day are provided, and with the difference of the energy storage demand of different seasons considered, a final siting and sizing scheme is determined. According to the energy storage siting and sizing method integrating wind power year-round multi-season features, the investment costsof energy storage are considered in the planning objective; the difference of the energy storage demand of different seasons is considered on the basis of the energy storage demand ratio; and therefore, the problem of wind curtailment and power limiting caused by insufficient adjustment capacity can be effectively mitigated with economic efficiency ensured, and the overall economic efficiency andutilization efficiency of energy storage planning can be improved from the perspective of an overall situation.

Description

technical field [0001] The invention belongs to the field of electrical engineering, and more specifically relates to an energy storage point distribution constant capacity method that integrates the multi-seasonal characteristics of wind power throughout the year. Background technique [0002] Since the beginning of the 21st century, under the dual pressure of energy crisis and environmental pollution, wind power has developed rapidly due to its mature technology, large-scale development conditions, and good prospects for commercial development. In 2016, my country's new installed capacity was 23.37 million kilowatts, and the cumulative installed capacity reached 169 million kilowatts, twice that of the United States, which ranks second in the world in terms of installed capacity. However, due to the randomness and volatility of wind power output, large-scale grid integration of wind power brings great challenges to the power system. In particular, the lack of system adjus...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/32H02J3/38H02J3/14
CPCH02J3/14H02J3/32H02J3/386Y02B70/3225Y02E10/76Y02E70/30Y04S20/222
Inventor 艾小猛甘伟姚伟文劲宇
Owner HUAZHONG UNIV OF SCI & TECH
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