Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82499
Title: Dynamic Optimal Power Flow Including Energy Storage with Adaptive Operation Costs
Authors: Ju, Chengquan
Wang, Peng
Keywords: Optimal power flow
Energy storage
Issue Date: 2015
Source: Ju, C., & Wang, P. (2015). Dynamic optimal power flow including energy storage with adaptive operation costs. IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 001561-001566.
Abstract: In past few years, the developing technology of energy storage has greatly catalyzed the evolution of energy management in power systems. The availability of storage techniques makes it possible to integrate large-scale energy storages, mitigating supply/demand variation and fluctuations brought by renewables. This paper proposes an optimal power flow (OPF) model considering energy storage with adaptive operation costs to optimize power generation and storage scheduling in multiple time periods. The objective of the proposed model is to minimize the total generation cost of generators and the operation cost of energy storages. The operation cost coefficients of energy storage are auto-adjusted according to state of charge (SOC) and time-of-use (TOU) cost of generators, specifying the dynamic characteristics of energy storage. The effectiveness of the proposed OPF model is validated by the IEEE 14-bus system that in optimal scheduling the operation of energy storage is not only price-sensitive but also responsive to the ramping load change.
URI: https://hdl.handle.net/10356/82499
http://hdl.handle.net/10220/42326
DOI: 10.1109/IECON.2015.7392323
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/IECON.2015.7392323].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers
ERI@N Conference Papers
IGS Conference Papers

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