Chance-Constrained Optimization for Multienergy Hub Systems in a Smart City

Huo, Da; Gu, Chenghong; Ma, Kang; Wei, Wei; Xiang, Yue; Blond, Simon Le

doi:10.1109/tie.2018.2863197

Cited by 85 publications

(39 citation statements)

References 33 publications

(84 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CHPs have a range of advantages over their traditional counterparts: (a) an efficiency over 80%; (b) saving up to 30% on energy bills; (c) saving up to 30% on carbon emissions; (d) reduction in transmission and distribution losses; and (e) increasing supply security. 15,16,35 2.2 | Power to gas by electrolysis…”

Section: Combined Heat and Powermentioning

confidence: 99%

“…[45][46][47] For the sake of simplicity, the subscript {Á} representing {hs, b} is used. The charging and discharging power/heat are limited in (15) and (16). Equation 17ensures that charging and discharging do not occur simultaneously.…”

Section: Energy Storage Systemmentioning

confidence: 99%

“…Energy hub system (EHS), as a popular multi‐vector system and an interface between energy producers and consumers, plays a significant role in integrating and coordinating multiple energy vectors to efficiently satisfy loads 14 . An optimal energy flow model for multiple networked EHS is proposed in Reference 15. The intermittent renewable power is captured by chance‐constrained programming with Cornish‐Fisher expansion.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust energy hub optimization with cross‐vector demand response

Zhu

Zhao

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

The integration of multi-energy systems increases renewable penetration and efficiency of energy use, and reduces costs. This integration is further reinforced by new technologies, such as cross-vector demand response and power-togas technologies, bringing big flexibility to system operation. This paper studies the optimal operation of multi-vector energy systems, considering cross-vector demand response with power-togas technology by using robust optimization. An energy hub system (EHS) is considered as the realization of a multi-vector energy system, which consists of (a) the two-way multienergy converters between electricity and gas, (b) an energy storage system and (c) renewable energy resources. The demand response to energy price variations in both electricity and heat is considered, where customers can change their energy consumption behaviors motivated by pricing mechanisms. In the EHS, energy conversion, storage, production and consumption are all modeled. To handle the uncertainty from renewable power generation, robust optimization is used with a hybrid box-polyhedral uncertainty set for solving the built model. Case studies demonstrate that the proposed method can

show abstract

Section: Combined Heat and Powermentioning

confidence: 99%

Section: Energy Storage Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust energy hub optimization with cross‐vector demand response

Zhu

Zhao

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The essence of the consistency algorithm is to update the state parameters of the local node through the information interaction between the local node and the neighbouring node [22] so that the state parameters of each node in the topology network converge to a stable common value.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Utilising the flexibility of energy resources in smart cities, Huo et al . [22] solved the optimal energy flow of adjacent energy hubs under the condition of uncertain renewable power generation, so as to minimise energy costs. Opportunistic constraints were used to model the power and natural gas flows among hubs, to allow for temporary overloads.…”

Section: Introductionmentioning

confidence: 99%

Energy hub model for energy management in energy internet

Zhang

et al. 2019

J. eng.

View full text Add to dashboard Cite

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Chen

Yang

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary As essential components in the energy hub, the multi‐energy devices are diverse, and their working conditions are complex. The relevant energy efficiency level of devices in the energy hub is also an important factor for the long‐term operation of the energy systems. The device efficiency is always considered constant in modeling the energy hub. However, it is necessary to study the efficiency variation and optimization of devices under off‐design working conditions. In this paper, we propose a coordinated dispatch method of the multi‐energy system considering the device off‐design characteristics in the energy hub. The energy efficiency optimization is included in the dispatch process. Then, we use the analysis target cascade (ATC) to obtain the optimal solution. The method is tested in the system, including distribution network, natural gas network, and energy hub. Compared to the traditional method, the proposed method can describe the operation of the whole system more authentically and thereby prove the effectiveness of energy efficiency optimization. The corresponding nonlinear constraints are linearized by piecewise linearization. Besides, we discuss the results of energy efficiency optimization at different load levels and capacity combinations, which is of guiding significance to optimize system working conditions.

show abstract

Chance-Constrained Optimization for Multienergy Hub Systems in a Smart City

Cited by 85 publications

References 33 publications

Robust energy hub optimization with cross‐vector demand response

Robust energy hub optimization with cross‐vector demand response

Energy hub model for energy management in energy internet

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Contact Info

Product

Resources

About