Optimal management of multi stakeholder integrated energy system considering dual incentive demand response and carbon trading mechanism

2021 ◽  
Author(s):  
Rui Wang ◽  
Shan Cheng ◽  
Xianwang Zuo ◽  
Ye Liu
Keyword(s):  
Demand Response ◽  
Energy System ◽  
Carbon Trading ◽  
Optimal Management ◽  
Integrated Energy System ◽  
Trading Mechanism ◽  
Multi Stakeholder

scholarly journals Low‐carbon economic operation for integrated energy system considering carbon trading mechanism

2021 ◽  
Author(s):  
Peiran Sun ◽  
Xuejun Hao ◽  
Jun Wang ◽  
Di Shen ◽  
Lu Tian
Keyword(s):  
Energy System ◽  
Carbon Trading ◽  
Low Carbon ◽  
Economic Operation ◽  
Integrated Energy System ◽  
Trading Mechanism

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

scholarly journals Cooperative Trading Mechanism and Satisfaction-Based Profit Distribution in a Multi-Energy Community

2021 ◽  
Vol 9 ◽  
Author(s):  
Jian Wang ◽  
Ning Xie ◽  
Valentin Ilea ◽  
Cristian Bovo ◽  
Hao Xin ◽  
...  
Keyword(s):  
Social Welfare ◽  
Energy System ◽  
Energy Integration ◽  
Profit Distribution ◽  
Energy Hub ◽  
Usage Patterns ◽  
Integrated Energy System ◽  
Trading Mechanism ◽  
Energy Community ◽  
The Cost

With the development of distributed generation and demand-side response, traditional consumers are now converted into prosumers that can actively produce and consume electricity. Moreover, with the help of energy integration technique, prosumers are encouraged to form a multi-energy community (MEC), which can increase their social welfare through inside multi-energy sharing. This paper proposes a day-ahead cooperative trading mechanism in a MEC that depends on an energy hub (EH) to couple electricity, natural gas, and heat for all prosumers. The model of the traditional uncooperative local integrated energy system (ULIES) is also built as a comparison. A satisfaction-based profit distribution mechanism is set according to prosumers’ feelings about the extra cost they save or extra profit they gain in MEC compared with that in ULIES. Finally, case studies are set to analyze the utility of MEC in enlarging social welfare, after considering the effects of prosumers’ electricity usage patterns and buy-and-sell prices in retail market. The results of satisfaction-based profit distribution are also analyzed to verify that it can save the cost or increase the profit of each prosumer and EH.

scholarly journals Operation Optimization Technology of Integrated Energy System Considering Energy Storage and Automatic Demand Response

2018 ◽  
Vol 452 ◽  
pp. 032038
Author(s):  
Yuan Zhou ◽  
Liyi Tian ◽  
Jun Liu ◽  
Yang Liu ◽  
Weicheng Chen
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Energy System ◽  
Operation Optimization ◽  
Integrated Energy System

Multi-scenario operation optimization model for park integrated energy system based on multi-energy demand response

2020 ◽  
Vol 53 ◽  
pp. 101973 ◽  
Author(s):  
Zhongfu Tan ◽  
Shenbo Yang ◽  
Hongyu Lin ◽  
Gejirifu De ◽  
Liwei Ju ◽  
...  
Keyword(s):  
Demand Response ◽  
Optimization Model ◽  
Energy Demand ◽  
Energy System ◽  
Operation Optimization ◽  
Integrated Energy System
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