Cooperative renewable energy management with distributed generation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • Norwegian University of Science and Technology

Abstract

We propose an energy cost minimization strategy for cooperating households equipped with renewable energy generation and storage capabilities. The participating households minimize their collective energy expenditure by sharing renewable energy through the grid. We assume location and time dependent electricity prices, as well as parametrized transfer fees. We then formulate an optimization problem to minimize the energy cost incurred by the participating households over any specified planning horizon. The proposed strategy serves as a performance benchmark for online energy management algorithms, and can be implemented in real time by incorporating adequate forecasting techniques. We solve the optimization problem through relaxation, and use simulations to illustrate the characteristics of the solution. These simulations show that energy sharing takes place when there are differences in the load/generation and price profiles across participants. We also show that no energy sharing takes place when the load is above the local generation at all times.

Details

Original languageEnglish
Title of host publication2018 26th European Signal Processing Conference, EUSIPCO 2018
Publication statusPublished - 29 Nov 2018
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Rome, Italy
Duration: 3 Sep 20187 Sep 2018
Conference number: 26

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
CountryItaly
CityRome
Period03/09/201807/09/2018

    Research areas

  • Non-convex optimization, Renewable energy optimization, Storage management

ID: 31344385