Analysis of operation cost and wind curtailment using multi-objective unit commitment with battery energy storage

Bo Wang, Min Zhou, Bo Xin, Xin Zhao and Junzo Watada

Energy, 2019, vol. 178, issue C, 101-114

Abstract: In modern power systems, the increasing penetration of renewable energy provides promising ways to operate the system at low cost and low pollution. Unfortunately, the noticeable uncertainties caused by the forecast errors of renewable generation as well as power load restrict the utilization of renewable energy (e.g. cause wind curtailment), and moreover, bring unprecedented challenges to maintain system reliability (e.g. cause load shedding which generally leads to high compensation). One prevailing solution is to prearrange sufficient spinning reserve of thermal units, which however, deviates from the ambition of cost saving. This paper analyzes the relationship between operation cost and wind curtailment amount using multi-objective unit commitment. The main contents include: First, systems with mixed generation sources including thermal units, wind farms and battery-based energy storage are investigated, whereafter Value-at-Risk-based worst-case estimations on load shedding and wind curtailment are established under hybrid uncertainties. Second, operation cost with generation, emission and load shedding concerns is established, whereafter multi-objective optimization is performed to investigate the inherent nature between operation cost and wind curtailment. Third, a multi-objective particle swarm optimization algorithm with reinforcement learning is developed to solve the complicated model. Finally, experiments on two case studies were performed to demonstrate the research effectiveness.

Keywords: Multi-objective unit commitment; Operation cost; Wind curtailment; Hybrid uncertainties; Particle swarm optimization (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219307418
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:178:y:2019:i:c:p:101-114

DOI: 10.1016/j.energy.2019.04.108

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().