A Robust Scheduling Optimization Model for an Integrated Energy System with P2G Based on Improved CVaR
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...
Main Authors: | Zhongfu Tan, Qingkun Tan, Shenbo Yang, Liwei Ju, Gejirifu De |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/11/12/3437 |
Similar Items
-
A CVaR-Robust Risk Aversion Scheduling Model for Virtual Power Plants Connected with Wind-Photovoltaic-Hydropower-Energy Storage Systems, Conventional Gas Turbines and Incentive-Based Demand Responses
by: Liwei Ju, et al.
Published: (2018-10-01) -
CVaR Regression Based on the Relation between CVaR and Mixed-Quantile Quadrangles
by: Alex Golodnikov, et al.
Published: (2019-06-01) -
Research on the Hedging of CSI300 Stock Index Future Based on VaR and CVaR Model
by: Xu Zijian, et al.
Published: (2015-01-01) -
Optimal Procurement Strategy for Supply Chain with Trade Credit and Backorder under CVaR Criterion
by: Gaoke Wu, et al.
Published: (2021-09-01) -
Effectiveness of the CVaR method in risk management in an integrated energy system
by: Yu Fu, et al.
Published: (2020-12-01)