scholarly journals Integrated Energy System Planning Method Considering Integrated Demand Response and Reliability Constraints

2021 ◽  
Vol 256 ◽  
pp. 02007
Author(s):  
Zheng Wang ◽  
Xuxia Li ◽  
Yao Wang ◽  
Yan Liang ◽  
Yingying Hu ◽  
...  
Keyword(s):  
Demand Response ◽  
Energy System ◽  
Planning Method ◽  
Energy Planning ◽  
System Planning ◽  
Penalty Cost ◽  
Planning Methods ◽  
Integrated Energy System ◽  
Energy System Planning ◽  
Selection Of

At present, most comprehensive energy planning methods aim at economy. A distributed integrated energy system planning method considering reliability and integrated demand response is proposed. This method considers that IDR can effectively realize the peak valley cutting of load characteristics, improve the system economy, and increase the reliability constraint penalty cost to make it more realistic. The example results show that the proposed method can consider the economy and reliability of configuration results under different conditions, and realize the selection of equipment.

scholarly journals Integrated energy system planning method considering electric-heat-gas coupling

2020 ◽  
Vol 565 ◽  
pp. 012022
Author(s):  
Nan Wang ◽  
Zhen Li ◽  
Pengxiang Zhao ◽  
Na Li ◽  
Yongli Wang ◽  
...  
Keyword(s):  
Energy System ◽  
Planning Method ◽  
System Planning ◽  
Integrated Energy System ◽  
Electric Heat ◽  
Energy System Planning

scholarly journals Application Challenges and Prospects of Urban Integrated Energy System Planning

2020 ◽  
Vol 143 ◽  
pp. 02017
Author(s):  
Guoxin He ◽  
Zhihong Yang ◽  
Jinda Zhu ◽  
Qi Wang ◽  
Dongmei Yang ◽  
...  
Keyword(s):  
Engineering Application ◽  
Energy System ◽  
Energy Planning ◽  
Basic Process ◽  
System Planning ◽  
Energy Internet ◽  
Integrated Energy System ◽  
Energy System Planning

The integrated energy system is the main physical carrier of the energy Internet. Planning is the leading link of its application, which directly affects the necessity and economy of the construction of the project. Firstly, the basic process of integrated energy planning is summarized. Then, three application challenges faced by urban integrated energy system planning are summarized from the perspective of engineering application: integrated energy system refinement modelling, multi-energy load integrated prediction, and expansion of planning boundaries. The corresponding strategies are given for the above challenges, and the development of integrated energy system planning and application is prospected, which provides reference for the staff engaged in urban integrated energy system planning and related investors.

scholarly journals An Interval Optimization-Based Approach for Electric–Heat–Gas Coupled Energy System Planning Considering the Correlation between Uncertainties

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2457
Author(s):  
Wenshi Wang ◽  
Houqi Dong ◽  
Yangfan Luo ◽  
Changhao Zhang ◽  
Bo Zeng ◽  
...  
Keyword(s):  
Demand Response ◽  
Energy System ◽  
Interval Order ◽  
Interval Optimization ◽  
System Planning ◽  
Energy Hub ◽  
Operation Costs ◽  
Integrated Energy System ◽  
Electric Heat ◽  
Energy System Planning

In this paper, a novel methodological framework for energy hub (EH) planning, considering the correlation between renewable energy source (RES) and demand response (DR) uncertainties, is proposed. Unlike other existing works, our study explicitly considers the potential correlation between the uncertainty of integrated energy system operations (i.e., wind speed, light intensity, and demand response). Firstly, an EH single-objective interval optimization model is established, which aims at minimizing investment and operation costs. The model fully considers the correlation between various uncertain parameters. Secondly, the correlation between uncertainties is dealt with by the interval models of multidimensional parallelism and affine coordinate transformation, which are transformed into a deterministic optimization problem by the interval order relationship and probability algorithm, and then solved by a genetic algorithm. Finally, an experimental case is analyzed, and the results show that the research method in this paper has good engineering practicability. At the same time, different correlations among uncertainties have different influences on integrated energy system planning. Correlation and influence are positively correlated.

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