Estimation in Deregulated Environment by using Spark and Big Data Analytics for Real Power Tracing-Reference-Cited by-同舟云学术

Estimation in Deregulated Environment by using Spark and Big Data Analytics for Real Power Tracing

Published:2023-04-17 Issue: Volume: Page:
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Author:

Modhugu Venugopal Reddy¹,Veeraboina Hemish²,Punnaiah V.³,Sunder Syam²

Affiliation:

1. Idol Soft Inc

2. San Jose State University

3. I/c-Engineering (E), CDFD

Abstract

Abstract Tracing real power in a deregulated environment is particularly challenging, because of unbundling restrictions and an expanding number of market participants. This study suggests utilizing Spark analysis and Bigdata to perform actual power tracing. For predicting the future power system for system planning, the load sharing of generators is calculated using the RED method. Spark is a ground-breaking data analytics and processing platform for the big data era. Spark is far more effective than traditional computing at tracing real power.

Publisher

Research Square Platform LLC

Reference21 articles.

1. Power Tracing in Distribution Network in Deregulated Power Environment (2018 International Conference on the computation of Power, Energy, Information and Communication.

2. Real and reactive power loss allocation in Pool-based electricity markets;Alturki YA;Electrical Power and Energy systems,2010

3. Power system expansion planning under uncertainty;Gorenstin BG;IEEE Transactions on Power Systems, 1993

4. Optimization Approach to Real Power Tracing: An Application to Transmission Fixed Cost Allocation;Abyankar AR;IEEE Transactions on Power Systems, Aug,2006

5. Sebastian p. Rosado, Khatib Abdel-Rahman, and Nouredine Hadjsaid. Tracing the path of electric power flow, a study for deregulated power systems, IEEE Conference, 2001, pp. 1479–1484.