Renewable energy consumption capability real-time evaluation method considering energy storage

A renewable energy and absorptive capacity technology, applied in resources, data processing applications, system integration technology, etc., can solve the problems of heavy calculation burden, poor accuracy of feasible domain, difficult industry, etc., to improve power quality, Guaranteed accuracy and rapidity, and the effect of stabilizing voltage

Pending Publication Date: 2021-12-14
JIANGSU ELECTRIC POWER CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method only approximates the feasible region of renewable energy consumption capacity with a specific set of peak planes, and the accuracy of the feasible region is poor; some scholars use the enumeration method to find feasible points to describe the feasible region, although it can accurately Describe the feasible region, but there is a problem of heavy computational burden, it is difficult to apply to the industry
At present, there are few studies on the real-time feasible region evaluation method of renewable energy consumption capacity, and the utilization rate of renewable energy can be improved while ensuring the economical and safe operation of the power system.

Method used

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  • Renewable energy consumption capability real-time evaluation method considering energy storage
  • Renewable energy consumption capability real-time evaluation method considering energy storage
  • Renewable energy consumption capability real-time evaluation method considering energy storage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] see figure 1 , considering the real-time evaluation method of renewable energy consumption capacity of energy storage, including the following steps:

[0064] 1) Obtain the basic data of the distribution network system connected to the renewable energy generator.

[0065] The basic data of the distribution network system includes the number and rated capacity of generators, and the topology of the distribution network system.

[0066] 2) Establish the optimal power flow model of distribution network considering energy storage.

[0067] The objective function of the distribution network optimal power flow model considering energy storage is as follows:

[0068]

[0069] In the formula, NG is the number of units in the system. P G，i is the active power of unit i. a g , b g and c g is the operating cost parameter of the unit. C es is the unit energy storage cost. and Respectively represent the active power charged and discharged by the energy storage devic...

Embodiment 2

[0114] The real-time evaluation method of renewable energy accommodation capacity of distribution network considering energy storage includes the following steps:

[0115] 1) Obtain the basic data of the distribution network system connected to the renewable energy generator.

[0116] The basic data of the distribution network system includes the number and rated capacity of conventional generators and renewable energy generators, the topology of the distribution network system, power balance constraints, generator power constraints, node voltage ranges and transmission power ranges.

[0117] 2) Establish the optimal power flow model of distribution network considering energy storage.

[0118] The objective function of the distribution network optimal power flow model considering energy storage is as follows:

[0119]

[0120] In the formula, NG is the number of units in the system; i is the serial number of the unit; P G，i is the active power of unit i; a g , b g and c...

Embodiment 3

[0163] see Figure 2 to Figure 5 , a verification test for the evaluation of the renewable energy absorption capacity of the distribution network considering energy storage, including the following steps:

[0164] 1) Establish IEEE-30 bus system, see figure 2 .

[0165] 2) The following three methods are used to describe the feasible region on the short time scale:

[0166] M0: Monte Carlo sampling method.

[0167] M1: upper and lower boundary method.

[0168] M2: Multi-parameter programming method.

[0169] Such as figure 2 As shown, the feasible domain of the IEEE-33 node system is described by the above three methods respectively. P R1 , P R2 , P R3 Active power output by renewable generators connected to nodes 6, 18, and 22.

[0170] image 3 The feasible points obtained by Monte Carlo sampling form the accurate feasible region of M0, which is used as a reference for the feasible region of active power output of the renewable generator; the method of M1 is to ...

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Abstract

The invention discloses a renewable energy consumption capability real-time evaluation method considering energy storage. The method comprises the following steps: 1) acquiring basic data of a power distribution network system accessed to a renewable energy generator; 2) establishing a power distribution network optimal power flow model considering energy storage; 3) updating the power distribution network optimal power flow model considering energy storage by using a multi-parameter planning method, and establishing an evaluation model of a renewable energy consumption feasible region; and 4) solving the evaluation model of the renewable energy consumption feasible region to obtain a real-time feasible region of the renewable energy bearing capability of the power distribution network system. By constructing the real-time evaluation model of the feasible region of the renewable energy consumption capability of the power distribution network, the consumption capability of the renewable energy of the power distribution network on a short time scale is evaluated more finely.

Description

technical field [0001] The invention relates to the field of evaluation of energy consumption capacity, in particular to a real-time evaluation method of renewable energy consumption capacity considering energy storage. Background technique [0002] Due to the deteriorating environment and the non-renewability of traditional fossil energy, energy transition is an inevitable trend. Renewable energy has the characteristics of high efficiency, cleanness, low carbon, and environmental protection, which is conducive to promoting the sustainable development of the ecological environment and social economy. Therefore, renewable energy represented by wind power and photovoltaics is developing rapidly, and the installed capacity of renewable energy worldwide is increasing year by year. Increase. However, the inherent intermittent and random characteristics of renewable energy make the safe and stable operation of the power system severely challenged by uncertainty, and the phenomeno...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/067G06Q10/0639G06Q50/06Y02E40/70Y02P90/82Y04S10/50
Inventor 耿莲庄汝学姚浩威崔鲁夏梦赵静怡简江艺李珂强
Owner JIANGSU ELECTRIC POWER CO
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