Managing forecast uncertainty in power system security assessment

被引：0

作者：

Ciapessoni, E. ^{[1
]}

Cirio, D. ^{[1
]}

Pitto, A. ^{[1
]}

Omont, N. ^{[2
]}

Vasconcelos, M. H. ^{[3
,4
]}

Carvalho, L. M. ^{[4
]}

机构：

[1] Ric Sistema Energet RSE SpA, Milan, Italy

[2] RTE, Paris, France

[3] INESC TEC, Porto, Portugal

[4] FEUP, Porto, Portugal

来源：

2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2017年

关键词：

Cross-validation; power systems; online security assessment; uncertainty;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accounting for the increasing uncertainties related to forecast of renewables is becoming an essential requirement while assessing the security of future power system scenarios. The FP7 EU project iTesla tackles these needs and reaches several major objectives, including the development of a security platform architecture. In particular, the platform implements a complex stochastic dependence model to simulate a reasonable cloud of plausible "future" states - due to renewable forecast - around the expected state, and evaluates the security on relevant states sampling the cloud of uncertainty. The paper focuses on the proposed model of the uncertainty and its exploitation in power system security assessment process.

引用

页码：997 / 1002

页数：6

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