Next Article in Journal
Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs
Previous Article in Journal
Improvement of the Response Speed for Switched Reluctance Generation System Based on Modified PT Control
Article Menu

Export Article

Open AccessArticle
Energies 2018, 11(8), 2050; https://doi.org/10.3390/en11082050

Adjustable Robust Optimization Algorithm for Residential Microgrid Multi-Dispatch Strategy with Consideration of Wind Power and Electric Vehicles

1
School of Control & Computer Engineering, North China Electric Power University, Beijing 102206, China
2
China Institute of Energy and Transportation Integrated Development, Beijing 102206, China
3
Smart Energy Institute, Nanjing SAC Power Grid Automation Co., Ltd., Nanjing 211100, China
4
Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA
*
Author to whom correspondence should be addressed.
Received: 9 July 2018 / Revised: 25 July 2018 / Accepted: 2 August 2018 / Published: 7 August 2018
View Full-Text   |   Download PDF [4982 KB, uploaded 8 August 2018]   |  

Abstract

A prospect of increasing penetration of uncoordinated electric vehicles (EVs) together with intermittent renewable energy generation in microgrid systems has motivated us to explore an effective strategy for safe and economic operation of such distributed generation systems. This paper presents a robust economic dispatch strategy for grid-connected microgrids. Uncertainty from wind power and EV charging loads is modeled as an uncertain set of interval predictions. Considering the worst case scenario, the proposed strategy can help to regulate the EV charging behaviors, and distributed generation in order to reduce operation cost under practical constraints. To address the issue of over-conservatism of robust optimization, a dispatch interval coefficient is introduced to adjust the level of robustness with probabilistic bounds on constraints, which gradually improves the system's economic efficiency. In addition, in order to facilitate the decision-making strategies from an economic perspective, this paper explores the relationship between the volatility of uncertain parameters and the economy based on the theory of interval forecast. Numerical case studies demonstrate the feasibility and robustness of the proposed dispatch strategy. View Full-Text
Keywords: microgrids; adjustable robust optimization; multi-dispatch; grouping dispatch; electric vehicles; wind power; economic analysis microgrids; adjustable robust optimization; multi-dispatch; grouping dispatch; electric vehicles; wind power; economic analysis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Shi, R.; Li, S.; Sun, C.; Lee, K.Y. Adjustable Robust Optimization Algorithm for Residential Microgrid Multi-Dispatch Strategy with Consideration of Wind Power and Electric Vehicles. Energies 2018, 11, 2050.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top