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Open AccessArticle

Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

1
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2
School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
3
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
*
Author to whom correspondence should be addressed.
Academic Editors: Tseng King Jet and Andrey V. Savkin
Energies 2021, 14(4), 936; https://doi.org/10.3390/en14040936
Received: 23 December 2020 / Revised: 2 February 2021 / Accepted: 4 February 2021 / Published: 10 February 2021
(This article belongs to the Special Issue Integrated Energy Systems and Transportation Electrification)
An integrated energy system (IES) shows great potential in reducing the terminal energy supply cost and improving energy efficiency, but the operation scheduling of an IES, especially integrated with inter-connected multiple energy stations, is rather complex since it is affected by various factors. Toward a comprehensive operation scheduling of multiple energy stations, in this paper, a day-ahead and intra-day collaborative operation model is proposed. The targeted IES consists of electricity, gas, and thermal systems. First, the energy flow and equipment composition of the IES are analyzed, and a detailed operation model of combined equipment and networks is established. Then, with the objective of minimizing the total expected operation cost, a robust optimization of day-ahead and intra-day scheduling for energy stations is constructed subject to equipment operation constraints, network constraints, and so on. The day-ahead operation provides start-up and shut-down scheduling of units, and in the operating day, the intra-day rolling operation optimizes the power output of equipment and demand response with newly evolved forecasting information. The photovoltaic (PV) uncertainty and electric load demand response are also incorporated into the optimization model. Eventually, with the piecewise linearization method, the formulated optimization model is converted to a mixed-integer linear programming model, which can be solved using off-the-shelf solvers. A case study on an IES with five energy stations verifies the effectiveness of the proposed day-ahead and intra-day collaborative robust operation strategy. View Full-Text
Keywords: integrated energy system; day-ahead and intra-day collaborative scheduling; PV power generation; multi-energy network; demand response integrated energy system; day-ahead and intra-day collaborative scheduling; PV power generation; multi-energy network; demand response
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MDPI and ACS Style

Zhai, J.; Wu, X.; Li, Z.; Zhu, S.; Yang, B.; Liu, H. Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations. Energies 2021, 14, 936. https://doi.org/10.3390/en14040936

AMA Style

Zhai J, Wu X, Li Z, Zhu S, Yang B, Liu H. Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations. Energies. 2021; 14(4):936. https://doi.org/10.3390/en14040936

Chicago/Turabian Style

Zhai, Jingjing; Wu, Xiaobei; Li, Zihao; Zhu, Shaojie; Yang, Bo; Liu, Haoming. 2021. "Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations" Energies 14, no. 4: 936. https://doi.org/10.3390/en14040936

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