Reliability Evaluation Method of Power System Considering Climbing Flexibility

doi:10.12204/j.issn.1000-7229.2023.07.015

Abstract

Abstract:

Four power balance states are proposed for a power system with high penetration of new energy by analyzing the principles of power, electricity balance, and climbing balance. A reliability index that considers climbing flexibility is studied, which extends the applicability of the original reliability index. On this basis, the starting capacity of the system is determined by load correction to ensure that the power demand and climbing demand of the system are satisfied simultaneously, and sufficient hot backup is reserved. A joint probability density model of the unit, load and climbing demand is established, and production simulation technology is used to calculate the proposed indicators. Finally, a reliability test example is used to create a variety of new energy proportion scenarios to verify the effectiveness of the proposed indexes and methods. The results show that in the context of a high proportion of new energy, traditional reliability indexes are conservative, and it is recommended to use reliability indexes that consider flexibility.

Key words: high penetration of new energy, reliability, climbing flexibility, load correction

CLC Number:

TM73

PENG Yu, ZHOU Qinyong, DING Baodi. Reliability Evaluation Method of Power System Considering Climbing Flexibility[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(7): 142-150.

Figures/Tables 12

Fig.1 Power balance diagram

Fig.2 Climbing balance diagram

Fig.3 Power system status

Fig.4 Flow chart of reliability indexes assessment

Table 1 Parameter of generator

Table 2 Situation of conventional unit replacement

Table 3 Increase of new energy units

Table 4 Capacity of new energy units in different proportions

Fig.5 Power system starting capacity arrangement

Fig.6 Indexes changing under the different proportion of new energy in scenario 1

Fig.7 Indexes changing under the different proportion of new energy in scenario 2

Fig.8 Indexes changing under the different proportions (wind: solar)

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