Distributed energy resource system optimisation using mixed integer linear programming

By A. Omu, R. Choudhary, A. Boies. 2013

236 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Energy Engineering and Power Technology

View Paper: https://www.semanticscholar.org/paper/3325fbe7cbf24b6c80a68fd13330b7bdd56d8cb8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Michael Stadler
2. Gonçalo Cardoso
3. M. Imran
4. Zafar Ali Khan
5. Salman Mashayekh
6. Miguel Heleno
7. Yuehong Lu

Citations in the corpus

• A mixed integer linear programming approach for optimal DER portfolio, sizing, and placement in multi-energy microgrids (2017, background): “[25] formulated a 164 mixed integer linear program for optimum technology selection, unit sizing and allocation, and network 165 design of a distributed energy system that meets the electricity and heating demands of a cluster of 166 buildings.”
• A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources (2020, methodology): “A mixed-integer linear program Distributed energy resource system MILP model [66]”