Wind-CHP generation aggregation with storage capability of district heating network

Yu, Jihai; Shen, Xinwei; Sheng, Tongtian; Sun, Hongbin; Xiong, Wen; Tang, Lei

doi:10.1109/ei2.2017.8245316

Cited by 4 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Y × m pipe = m node (2) This equation illustrates the relationship between the mass flow rates through a node and within the pipe sections connected to it. In 2 2) HEAT SOURCE…”

Section: ) Network Incidence Matrixmentioning

confidence: 99%

“…Therefore, there are a number of projects focusing on exploiting the flexibility of multi-energy coordination in a RIES [1]. Among the solutions, thermal energy storages (TES) are considered aseffective and practical options, and there are lots of researches focusing on the RIES containing CHP units and TES [2]- [9]. In these cases, TES supply buffer of time, which means they can capture the thermal energy that has not been used, and then deliver which to demand side when generation is not sufficient.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Economic Dispatch for Regional Integrated Energy System With District Heating Network Under Stochastic Demand

Shen

Sun

2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

The strong interdependency of heat and power supply restricts the operational flexibility of combined heat and power (CHP) units, especially in cold seasons. More than that, such kind of coupling can conventionally cause massive power curtailment of renewable energy sources (RES) under stochastic heat demands. In this paper, these issues are resolved by the cooperation between the district heating network (DHN) and load-side thermal storages in a regional integrated energy system (RIES) model. In which, the DHN is formulated as an energy-storage-like (ESL) model, based on the dynamic characteristics of temperature and time delay effect of the medium within the pipeline system. The potential benefits of the proposed model, in terms of increasing the integration of RES and the total revenue of the entire system, have been demonstrated by the case studies.

show abstract

“…Y × m pipe = m node (2) This equation illustrates the relationship between the mass flow rates through a node and within the pipe sections connected to it. In 2 2) HEAT SOURCE…”

Section: ) Network Incidence Matrixmentioning

confidence: 99%