NDLI: Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems

Content Provider	IEEE Xplore Digital Library
Author	Keerthisinghe, C. Verbic, G. Chapman, A.C.
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia (Keerthisinghe, C.; Verbic, G.; Chapman, A.C.)
Abstract	In Australia, the penetration of rooftop photovoltaic (PV) systems with storage is expected to increase in the future because of rising electricity costs, decreasing capital costs and growing concerns about climate change. Residential energy users can seize the full financial benefits of these systems by using an automated energy management system (EMS) to schedule and coordinate their energy use. An important aspect of an effective EMS is to control the battery state of charge, taking into consideration of the intermittent nature of PV generation and variability of electrical demand over a decision horizon of several days. However, this is difficult because of the computational burden associated with the currently proposed solution techniques. Given these existing shortcomings, this paper evaluates a two-stage stochastic optimisation framework for energy management of residential PV-storage systems to identify the benefits of having a longer decision horizon. That is: a simplified longer-horizon solver that uses stochastic mixed-integer linear programming (MILP) and a more detail shorter horizon solver using dynamic programming. In doing so, this paper discusses the general benefits of residential PV-storage systems coupled with an EMS.
Starting Page	1
Ending Page	6
File Size	876418
Page Count	6
File Format	PDF
ISBN	9780646923758
DOI	10.1109/AUPEC.2014.6966552
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-28
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	ACPE
Subject Keyword	renewable energy sources Stochastic processes stochastic mixed-integer linear programming dynamic programming Educational institutions PV-storage systems Batteries future grid Optimization System-on-chip Dynamic programming Energy management demand response home energy management
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Stochastic optimal scheduling of residential appliances with renewable energy sources

Two stage stochastic optimisation of highly distributed PV/Battery microgrids with grid connection

Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments

Optimal Power Flow Management for Grid Connected PV Systems With Batteries

Energy management algorithm for smart home with renewable energy sources

A Stochastic Investment Model for Renewable Generation in Distribution Systems

Capacity Optimization of Renewable Energy Sources and Battery Storage in an Autonomous Telecommunication Facility

Optimal storage capacity within an autonomous micro grid with a high penetration of Renewable Energy Sources

Notice of RetractionResearch on grid-connected PV system with li-ion battery and energy management

Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems

Similar Documents

Stochastic optimal scheduling of residential appliances with renewable energy sources

Two stage stochastic optimisation of highly distributed PV/Battery microgrids with grid connection

Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments

Optimal Power Flow Management for Grid Connected PV Systems With Batteries

Energy management algorithm for smart home with renewable energy sources

A Stochastic Investment Model for Renewable Generation in Distribution Systems

Capacity Optimization of Renewable Energy Sources and Battery Storage in an Autonomous Telecommunication Facility

Optimal storage capacity within an autonomous micro grid with a high penetration of Renewable Energy Sources

Notice of RetractionResearch on grid-connected PV system with li-ion battery and energy management

Evaluation of a multi-stage stochastic optimisation framework for energy management of residential PV-storage systems