Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145621
Title: Coordinated chance-constrained optimization of multi-energy microgrid system for balancing operation efficiency and quality-of-service
Authors: Fang, Sidun
Zhao, Tianyang
Xu, Yan
Lu, Tianguang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Fang, S., Zhao, T., Xu, Y., & Lu, T. (2020). Coordinated chance-constrained optimization of multi-energy microgrid system for balancing operation efficiency and quality-of-service. Journal of Modern Power Systems and Clean Energy, 8(5), 853-862. doi:10.35833/MPCE.2019.000466
Journal: Journal of Modern Power Systems and Clean Energy
Abstract: To enhance the flexible interactions among multiple energy carriers, i.e., electricity, thermal power and gas, a coordinated programming method for multi-energy microgrid (MEMG) system is proposed. Various energy requirements for both residential and parking loads are managed simultaneously, i.e., electric and thermal loads for residence, and charging power and gas filling requirements for parking vehicles. The proposed model is formulated as a two-stage joint chance-constrained programming, where the first stage is a day-ahead operation problem that provides the hourly generation, conversion, and storage towards the minimization of operation cost considering the forecasting error of photovoltaic output and load demand. Meanwhile, the second stage is an on-line scheduling which adjusts the energy scheme in hourly time-scale for the uncertainty realizations. Simulations have demonstrated the validity of the proposed method, i.e., collecting the flexibilities of thermal system, gas system, and parking vehicles to facilitate the operation of electrical networks. Sensitivity analysis shows that the proposed scheme can achieve a compromise between the operation efficiency and service quality.
URI: https://hdl.handle.net/10356/145621
ISSN: 2196-5625
DOI: 10.35833/MPCE.2019.000466
Rights: © 2020 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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