Integrating Energy Management of Autonomous Smart Grids in Electricity Market Operation

This study presents a market operation model integrated with energy management programs of independent smart grids using bilevel optimization. In this framework, autonomous smart grid entities, in the lower levels, operate their own networks and send decisions to the upper level market operator that...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on smart grid Vol. 11; no. 5; pp. 4044 - 4055
Main Authors: Haghighat, Hossein, Karimianfard, Hossein, Zeng, Bo
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Decisions
Electricity supply industry
Energy management
Energy sources
Energy storage
Integer programming
ISO
Linear programming
Load management
Load modeling
Mixed integer
mixed integer bilevel optimization
Optimization
Power flow
power market
Schedules
second-order cone programming
shiftable demand
Smart grid
Smart grids
storage device
Unit commitment
ISSN:1949-3053, 1949-3061
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study presents a market operation model integrated with energy management programs of independent smart grids using bilevel optimization. In this framework, autonomous smart grid entities, in the lower levels, operate their own networks and send decisions to the upper level market operator that clears the day ahead market based on unit commitment and second order conic AC power flow models. A single-leader multi-follower game is thus developed, in which every smart grid derives optimal schedules of its own renewable energy resources, storage devices, and responsive demands that are interconnected through a distribution grid using mixed integer linear programming. Given the mixed integer nature of the upper and lower level decisions, we develop and customize an exact reformulation-decomposition method to compute this bilevel optimization program. Through numerical experiments performed on three test systems, we demonstrate that the proposed modeling paradigm can accurately represent the physics of the transmission and distribution grids and achieves reasonable results with significant computational efficacy.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2020.2992570