Stochastic Optimization of Renewable-Based Microgrid Operation Incorporating Battery Operating Cost

By Tu Anh Nguyen, Mariesa L. Crow. IEEE Transactions on Power Systems, 2016

194 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ebdc8a8c72a972125bf8daa2309390d338dba742

How researchers see this paper

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

In Control and Systems Engineering

1. Thomas Morstyn
2. Branislav Hredzak
3. Vassilios G. Agelidis
4. Malcolm Duncan McCulloch
5. Alireza Khaligh
6. Michael D’Antonio

In Electrical and Electronic Engineering

1. Thomas Morstyn
2. Branislav Hredzak
3. Vassilios G. Agelidis
4. Malcolm Duncan McCulloch
5. Michael D’Antonio
6. Alireza Khaligh
7. Bin Wu

In Energy Engineering and Power Technology

1. Thomas Morstyn
2. Branislav Hredzak
3. Vassilios G. Agelidis

Citations in the corpus

• Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, methodology): “In [87], stochastic dynamic programming is used to consider prediction uncertainty, as well as nonlinear models for battery depreciation costs and charging/discharging efficiency.”