Capacity of Virtual Energy Storage System for Frequency Regulation Services via a Data-Driven Distributionally Robust Optimization Method
Author:
Affiliation:
1. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia
2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Funder
ARC Research Hub for Integrated Energy Storage Solutions
NTU
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10107552/09845361.pdf?arnumber=9845361
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