Hierarchical duality-based planning of transmission networks coordinating active distribution network operation

Liu, Jia; Zeng, Peter Pingliang; Xing, Hao; Li, Yalou; Wu, Qiuwei

doi:10.1016/j.energy.2020.118488

Cited by 28 publications

(27 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The additional feeders have the same characteristics as the existing feeders. The binary variable 𝛼 k f is equal to one for the currently existing feeders, as stated in Equation (46). Equation (47) adjusts the voltage of all the electrical DS nodes to the assumed ranges.…”

Section: Electrical Power Flow Constraintsmentioning

confidence: 99%

See 1 more Smart Citation

A tri‐level approach for coordinated transmission and distribution system expansion planning considering deployment of energy hubs

Allahvirdizadeh

Shayanfar

Moghaddam

2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

This paper presents a tri‐level stochastic coordinated transmission and distribution system expansion (CTDS) planning considering the deployment of energy hubs (EHs) across the distribution systems (DSs). The first level of the proposed optimization approach deals with transmission system expansion planning (TEP), while the second level develops distribution system expansion planning (DEP). Market clearing is done in the third level to update the locational marginal prices (LMPs) for different distribution system operators (DSOs). The EHs include photovoltaic cells (PVs), wind turbines (WTs), combined heating and power units (CHPs), boilers, and electrical and absorption chillers. The proposed tri‐level approach is solved with an iterative algorithm based on the diagonalization approach and tested on the modified IEEE 30‐bus transmission systems (TS) with several DSOs. Each DSO includes 18‐bus electrical, heating, and cooling energy systems. The numerical analysis shows that the total cost of the transmission system operator (TSO) is not changed with implementing the uncoordinated approach. However, the total cost of the whole system is reduced by 6.54% with accommodation of the EHs in the uncoordinated approach. Moreover, the total cost of the TSO as well as the whole system are reduced by 41.11% and 16.96%, respectively, with the proposed (CTDS) planning.

show abstract

Section: Electrical Power Flow Constraintsmentioning

confidence: 99%

“…A bi‐level TEP problem considering the operational constraints of the DS has been studied in ref. [46]. The upper level of the formulated model corresponds to the optimization of the TEP problem, while the lower level deals with the optimization of the DSOs' operation cost.…”

Section: Introductionmentioning

confidence: 99%

A tri‐level approach for coordinated transmission and distribution system expansion planning considering deployment of energy hubs

Allahvirdizadeh

Shayanfar

Moghaddam

2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…28 A transmission and distribution network expansion model is introduced based on a hierarchical stochastic method in which the upper and lower levels correspond to the objective and constraints of the transmission and distribution networks, respectively. 29 In a similar research, a distributed decision-making framework is used under the uncertainties of sources, loads and transmission lines. 30 A mixed-integer tri-level model is formulated for simultaneous expansion of transmission and distribution systems to provide higher operation flexibility and reduce the total cost.…”

Section: Literature Reviewmentioning

confidence: 99%

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Azari

Tabar

Tohidi

2022

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Due to the increase in global warming and environmental pollution, heavy penalties have been imposed on pollution producers such as electrical energy networks. Hence, the role of renewable resources expansion in power systems is unavoidable. However, their high penetration increases the uncertainties and decreases the reliability. This paper investigates the expansion of renewable resources in distribution systems based on the zero energy concept. In this regard, different scenarios are designed to determine the optimal location and sizing of wind turbines and photovoltaics as the most matured technologies. To achieve such a goal, a multiobjective linear programming consisting of investment cost and environmental pollution is suggested, which is solved by the augmented epsilon constraint method. Moreover, an incentive‐based demand response program is implemented using shiftable and curtailable responsive loads. Eventually, the uncertainties of renewable resources are modeled by a scenario generation and reduction approach to simulate realistic conditions. The results show that the system that includes only wind turbines or only photovoltaics cannot completely overcome the pollution problem due to the uncertainties. By contrast, a zero energy structure is achievable by their combination, where the investment cost is increased by 73.17% and 48.13% compared to the separate expansion of photovoltaics and wind turbines, respectively. The participation of responsive loads decreases the investment cost by 49.29% as well. Furthermore, the uncertainties of renewable resources increase the total cost by only about 5.95% in the presence of responsive loads; however, the system will be robust against at least 6% of wind turbines and photovoltaics fluctuations.

show abstract

“…In Ref. (Liu et al, 2020;Liu et al, 2022), two effective expansion planning methods for transmission and active distribution networks were proposed, where the uncertainties associated with supply (PV and WT generation) and demand (electric load) factors were fully analyzed and discussed so that a better economic efficiency and reliability can be achieved.…”

Section: Introductionmentioning

confidence: 99%

Low-Carbon Strategic Planning of Integrated Energy Systems

Guo

Xiang

2022

Front. Energy Res.

View full text Add to dashboard Cite

With the rapid promotion of renewable energy technologies and the trend to a low-carbon society, the positive impacts of an integrated energy system that realizes various forms of energy-utilizing improvement and carbon reduction have fully emerged. Hydrogen with a decarbonized characteristic being integrated into the integrated energy system has become a viable option to offset the intermittency of renewables and decline the fossil fuel usage. An optimal planning model of a wind–photovoltaic–hydrogen storage-integrated energy system with the objective of total economic and environmental cost minimization by considering various energy technology investments is proposed. Case studies are developed to compare the economic and environmental benefits of different energy investment scenarios, especially hydrogen applications. The cost–benefit analysis was carried out to prove that hydrogen investment is not a cost-competitive option but can alleviate the burden of carbon emissions somehow. Finally, sensitivity analysis of key parameters of sale capacity, carbon tax, and renewable penetration level was performed to indicate the rational investment for a wind–photovoltaic–hydrogen storage-integrated energy system.

show abstract

Hierarchical duality-based planning of transmission networks coordinating active distribution network operation

Cited by 28 publications

References 51 publications

A tri‐level approach for coordinated transmission and distribution system expansion planning considering deployment of energy hubs

A tri‐level approach for coordinated transmission and distribution system expansion planning considering deployment of energy hubs

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Low-Carbon Strategic Planning of Integrated Energy Systems

Contact Info

Product

Resources

About