Stochastic Model Predictive Control for economic/environmental operation management of microgrids

A. Parisio; L. Glielmo

Stochastic Model Predictive Control for economic/environmental operation management of microgrids

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	2013 European Control Conference (ECC)
Place of Publication	Piscataway
Publisher	IEEE
Pages	2014-2019
Number of pages	6
ISBN (Print)	978-1-4799-0189-0
Publication status	Published - 1 Jul 2013

Keywords

distributed power generation
environmental factors
feedback
integer programming
linear programming
power generation control
power generation economics
power system management
predictive control
stochastic programming
controllable loads
distribution grid
economic-environmental operation management
feedback mechanism
fluctuating demand
generation capacities
microgrid management system
microgrid operations
mixed-integer linear programming problem
stochastic framework
stochastic model predictive control
stochastic optimization problem
storage devices
time-varying request
two-stage stochastic programming approach
utility grid
Load modeling
Microgrids
Optimization
Programming
Stochastic processes
Uncertainty
Vectors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{843108ccea88454c85ee27ce01ab8a7c,

title = "Stochastic Model Predictive Control for economic/environmental operation management of microgrids",

keywords = "distributed power generation, environmental factors, feedback, integer programming, linear programming, power generation control, power generation economics, power system management, predictive control, stochastic programming, controllable loads, distribution grid, economic-environmental operation management, feedback mechanism, fluctuating demand, generation capacities, microgrid management system, microgrid operations, mixed-integer linear programming problem, stochastic framework, stochastic model predictive control, stochastic optimization problem, storage devices, time-varying request, two-stage stochastic programming approach, utility grid, Load modeling, Microgrids, Optimization, Programming, Stochastic processes, Uncertainty, Vectors",

author = "A. Parisio and L. Glielmo",

year = "2013",

month = jul,

day = "1",

language = "English",

isbn = "978-1-4799-0189-0",

pages = "2014--2019",

booktitle = "2013 European Control Conference (ECC)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Stochastic Model Predictive Control for economic/environmental operation management of microgrids

AU - Parisio, A.

AU - Glielmo, L.

PY - 2013/7/1

Y1 - 2013/7/1

KW - distributed power generation

KW - environmental factors

KW - feedback

KW - integer programming

KW - linear programming

KW - power generation control

KW - power generation economics

KW - power system management

KW - predictive control

KW - stochastic programming

KW - controllable loads

KW - distribution grid

KW - economic-environmental operation management

KW - feedback mechanism

KW - fluctuating demand

KW - generation capacities

KW - microgrid management system

KW - microgrid operations

KW - mixed-integer linear programming problem

KW - stochastic framework

KW - stochastic model predictive control

KW - stochastic optimization problem

KW - storage devices

KW - time-varying request

KW - two-stage stochastic programming approach

KW - utility grid

KW - Load modeling

KW - Microgrids

KW - Optimization

KW - Programming

KW - Stochastic processes

KW - Uncertainty

KW - Vectors

M3 - Conference contribution

SN - 978-1-4799-0189-0

SP - 2014

EP - 2019

BT - 2013 European Control Conference (ECC)

PB - IEEE

CY - Piscataway

ER -