Next Article in Journal
Solving the Multi-Objective Optimal Power Flow Problem Using the Multi-Objective Firefly Algorithm with a Constraints-Prior Pareto-Domination Approach
Previous Article in Journal
A Study of Sewage Sludge Co-Combustion with Australian Black Coal and Shiitake Substrate
Article Menu

Export Article

Open AccessArticle
Energies 2018, 11(12), 3437; https://doi.org/10.3390/en11123437

A Robust Scheduling Optimization Model for an Integrated Energy System with P2G Based on Improved CVaR

School of Economics and Management, North China Electric Power University, Beijing 102206, China
*
Author to whom correspondence should be addressed.
Received: 18 October 2018 / Revised: 30 November 2018 / Accepted: 1 December 2018 / Published: 7 December 2018
Full-Text   |   PDF [2477 KB, uploaded 11 December 2018]   |  

Abstract

The uncertainty of wind power and photoelectric power output will cause fluctuations in system frequency and power quality. To ensure the stable operation of the power system, a comprehensive scheduling optimization model for the electricity-to-gas integrated energy system is proposed. Power-to-gas (P2G) technology enhances the flexibility of the integrated energy system and the power system in absorbing renewable energy. In this context, firstly, an electricity-to-gas optimization scheduling model is proposed, and the improved Conditional Value at Risk (CVaR) is proposed to deal with the uncertainty of wind power and photoelectric power output. Secondly, taking the integrated energy system with the P2G operating cost and the carbon emission cost as the objective function, an optimal scheduling model of the multi-energy system is solved by the A Mathematical Programming Language (AMPL) solver. Finally, the results of the example illustrate the optimal multi-energy system scheduling model and analyze the economic benefits of the P2G technology to improve the system to absorb wind power and photovoltaic power. The simulation calculation of the proposed model demonstrates the necessity of taking into account the operating cost of the electrical gas conversion in the integrated energy system, and the feasibility of considering the economic and wind power acceptance capabilities. View Full-Text
Keywords: integrated energy system; risk assessment; improved CVaR; P2G; robust optimization integrated energy system; risk assessment; improved CVaR; P2G; robust optimization
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

Tan, Z.; Tan, Q.; Yang, S.; Ju, L.; De, G. A Robust Scheduling Optimization Model for an Integrated Energy System with P2G Based on Improved CVaR. Energies 2018, 11, 3437.

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