scholarly journals Low-Carbon Economical Dispacth of Electricity-Heat Integrated Energy System Considering Concentrating Solar Power and Heat Loss in Heat Pipe Network

Author(s):  
Nenghan Zhang ◽  
Yufeng Wang ◽  
Xiyan Jian ◽  
Yibo Ding

With the development of energy internet, integrated energy system can effectively reduce carbon emissions and improve the utilization of renewable energy. In this paper, a low-carbon optimal scheduling model of integrated energy system considering heat loss of heat network pipeline is proposed. Based on the study of concentrating solar power (CSP) plant and heat storage tank (HS), an optimal scheduling model is established, which takes system operation cost, environmental pollution and penalty cost of abandoning wind and solar energy as objectives. Through the analysis of example results, it is proved that the model proposed in this paper can achieve the goal of reliable, low-carbon and economic operation of the system. At the same time, it shows that CSP unit can reduce the operation cost of system and increase energy coupling and utilization.

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang

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.


Author(s):  
Shuo Yin ◽  
Hongkun Bai ◽  
Meng Yang ◽  
Zhe Chai ◽  
Jing Yan ◽  
...  

2021 ◽  
Author(s):  
Xiran Zhou ◽  
Yiming Ma ◽  
Haixin Wang ◽  
Yunlu Li ◽  
Jishuai Yu ◽  
...  

2021 ◽  
Author(s):  
Jie Mei ◽  
Christopher Lee ◽  
James L. Kirtley

In order to cope with the challenges of improving energy efficiency, increasing the integration of renewable energy, and achieving carbon emission reduction, multi-energy systems have received more and more attention in recent years and have been developing rapidly. Traditionally, different energy infrastructures are usually scheduled and operated independently, which leads to inefficient use of energy and waste of resources. By integrating into a multi-energy system, different energy infrastructures can be coupled and optimized into one unit. In this article, from a low-carbon point of view, the optimal scheduling of a real multi-energy system with hydrogen-based vehicle applications is proposed. The simulation results show that the proposed optimal scheduling can help quantify the daily operation cost and carbon emissions and achieve considerably operation cost saving and carbon reduction by reasonably arranging and utilizing all the devices in the system.


2021 ◽  
Vol 2076 (1) ◽  
pp. 012014
Author(s):  
Jinrui Guo ◽  
Zhijun Zhang ◽  
Lei Xu ◽  
Hao Wang ◽  
Hui Wang ◽  
...  

Abstract Demand response, as an effective dispatching method, has been widely used in the optimization research of integrated energy system (IES). In this article, first, the mathematical model of flexible loads including shiftable electric, heat, and cooling load are established in line with their characteristics. Second, an optimal scheduling model of the IES is built, where the minimum sum of system operation and maintenance and the environmental protection costs comprise the objective function. Furthermore, the alternating direction multiplier method is used to solve the optimal scheduling model in a fully distributed manner. Finally, simulation results show that the proposed model and algorithm can efficiently solve the IES optimal dispatching problem, reduce the peak-valley difference, and improve the stability of the system.


2021 ◽  
Vol 236 ◽  
pp. 02008
Author(s):  
LIU Dunnan ◽  
Gao Yuan ◽  
Wang Lingxiang ◽  
Liang Jiahao ◽  
Wang Zhenyu ◽  
...  

Considering the inherent characteristics of the park heating load, such as transmission delay, fuzzy heating comfort, etc., it can be used as a flexible load to participate in the optimal scheduling. Aiming at the minimum operation cost of the integrated energy system in the park, a collaborative optimal scheduling model of the park's integrated energy system with the participation of comprehensive demand response of electric heating load is constructed. The simulation results show that, compared with the optimization results of traditional power demand response, the application of integrated demand response of electric heating load improves the flexibility of production of cogeneration units in the park, reduces the total energy consumption cost of demand side users and the operation cost of the system on the premise of ensuring the balance of supply and demand of the system, improves the energy utilization efficiency, and realizes the environmental protection and economy of the system function.


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