System day-ahead scheduling method based on hydrogen energy storage

A scheduling method, hydrogen energy storage technology, applied in the direction of electric energy storage system, energy storage, power generation prediction in AC network, etc., can solve problems not involving energy storage devices, etc., and achieve the effect of solving asynchrony

Pending Publication Date: 2021-11-16
JIANGSU ELECTRIC POWER CO +1
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Problems solved by technology

[0003] It can be seen that DR planning plays an important role in the reliable and economical operation of the system and the power market. In the case of access to large-scale wind power, the uncertainty of wind power output will inevitably affect the safe and economical operation of the system. However, in the existing None of the studies involved energy storage devices

Method used

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  • System day-ahead scheduling method based on hydrogen energy storage
  • System day-ahead scheduling method based on hydrogen energy storage
  • System day-ahead scheduling method based on hydrogen energy storage

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Experimental program
Comparison scheme
Effect test

Embodiment

[0116] Aiming at the 24-hour load requirements and wind power shown in Table 1, the day-ahead scheduling of the hydrogen energy storage system is carried out for the thermal power units of the 6-node improved system.

[0117] Table 1

[0118]

[0119] Table 2 shows the grid parameters of the 6-node improved system, and Table 3 shows the parameters of the thermal power unit of the 6-node improved system:

[0120] Table 2

[0121] node node Maximum transmission power (MW) R(p.u.) X(p.u.) 1 2 100 0.1149 0.0029 1 4 200 0.134 0.0034 2 3 100 0.0854 0.0021 3 6 100 0.0107 0.0003 4 5 100 0.1149 0.0029 4 2 100 0.1334 0.0037 5 6 100 0.093 0.0023

;

[0122] table 3

[0123] unit A(yuan / MW^2*h) B (yuan / MWh) C (yuan / h) P max (MW)

P min (MW)

P vp , P down (MW)

T on (h)

T off (h)

R vp :R down (MW)

G1 0.0028 89.828 1268.8 220 100 60 4 7 55 ...

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Abstract

The invention provides a system day-ahead scheduling method based on hydrogen energy storage, and the method comprises the steps: 1, building a hydrogen energy storage integrated energy system for the application of hydrogen energy storage; 2, constructing an optimal scheduling model taking the lowest operation cost as a target; the optimization scheduling model comprises 2-1) wind energy uncertainty processing, 2-2) random security constraint unit combination and 2-3) price type demand response. The invention has the beneficial effects that the problem of asynchronism during multi-energy production and use is solved, the energy can be translated in time and space, and the day-ahead optimization model of the hydrogen energy storage comprehensive energy system containing high-proportion wind, electricity and electricity is constructed.

Description

technical field [0001] The invention relates to a day-ahead dispatching method for a system based on hydrogen energy storage, and belongs to the field of system planning and dispatching. Background technique [0002] For the operation optimization of the hydrogen energy storage integrated energy system considering wind power, in recent years, methods such as the coordination of demand response and wind energy, and the combination of current units have been proposed; existing studies have considered the impact of demand response (DR) and wind energy coordination on system operating costs. and wind curtailment rate; some studies have proposed an optimal scheduling method based on demand response and the combination of wind, photovoltaic power generation units and gas turbine cooling, heating and power cogeneration systems, which effectively reduces the overall operating cost of the system; some studies have analyzed a method based on deviation prediction. A multi-time-scale ro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/46H02J3/00H02J3/28H02J15/00
CPCH02J3/466H02J3/004H02J3/28H02J15/008H02J2203/20H02J2300/28Y02E60/36Y02E70/30
Inventor 万立新陆怀谷倪菁陈斌储宇辉戴黎明蒋志坚王曙宁
Owner JIANGSU ELECTRIC POWER CO
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