Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages

Chen, Changming; Wu, Xiaochang; Li, Yan; Zhu, Xiaojun; Li, Zesen; Ma, Jien; Qiu, Weiqiang; Liu, Chang; Lin, Zhenzhi; Yang, Li; Wang, Qin; Ding, Yi

doi:10.1016/j.apenergy.2021.117493

Cited by 95 publications

(20 citation statements)

References 44 publications

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“…The coefficients of the carbon incentive mechanism are shown in Table 4. The iron-lithium battery was chosen as the EES in this study, and its parameters are shown in Table 5 [39,40]. Case studies were carried out on the MATLAB/YALMIP platform by adopting Gurobi solver.…”

Section: Test System and Initial Parametersmentioning

confidence: 99%

Bi-Level Optimal Capacity Planning of Load-Side Electric Energy Storage Using an Emission-Considered Carbon Incentive Mechanism

Feng

Zhou

2022

Energies

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The decarbonization of the power system forces the rapid development of electric energy storage (EES). Electricity consumption is the fundamental driving force of carbon emissions in the power system. However, the current EES capacity planning research that considers the load-side carbon emission responsibility is still limited. To fill this research gap, this paper proposes a carbon incentive mechanism while considering load-side carbon emission responsibility. Additionally, a bi-level optimal capacity planning model of the load-side EES based on carbon emission flow (CEF) theory is proposed. The upper level obtained the bus carbon intensities through the optimal economic dispatch and passed them to the lower level. Considering the carbon incentive mechanism, the lower level optimized the EES capacity. Finally, the model was tested by MATLAB/Gurobi in the modified IEEE-39 bus power system. The results show that under the stimulation of the carbon incentive mechanism, the bi-level optimal capacity planning model of the load-side EES could effectively promote peak shaving, valley filling, and carbon reduction. Furthermore, compared with the two existing EES subsidy policies, the proposed carbon incentive mechanism is verified to be more conducive to reducing system carbon emissions.

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Section: Test System and Initial Parametersmentioning

confidence: 99%

Bi-Level Optimal Capacity Planning of Load-Side Electric Energy Storage Using an Emission-Considered Carbon Incentive Mechanism

Feng

Zhou

2022

Energies

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“…Modelling of AMESDs in GESs [22]: electricity storage device is taken as an example for simplicity, the operating constraints of electricity storage device include the state of charge constraints as shown in Equations ( 15)-(17) and the output limit constraints as shown in Equations ( 18)- (20). are the upper limits of the charge power and discharge power of electricity storage device, respectively.…”

Section: Modeling Of Generalized Energy Storages In Ilesmentioning

confidence: 99%

“…An IDR strategy combining energy substitution and load shifting is developed in [17] to exploit the demand flexibility of multi-energy buildings. For the storage side, the optimal scheduling strategies of actual multiple energy storage devices (AMESDs) in ILES, that is, electricity storage device, heat storage device and gas storage device, are studied in [18][19][20], respectively.…”

Section: Introductionmentioning

confidence: 99%

Optimal low‐carbon scheduling of integrated local energy system considering oxygen‐enriched combustion plant and generalized energy storages

Chen

Wu²,

et al. 2021

IET Renewable Power Gen

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Under the background of carbon neutrality and large-scale penetration of renewable energy, the integrated local energy system (ILES) has been extensively recognized as an effective way to reduce carbon emissions and improve renewable energy consumption level due to its high energy utilization and multiple energy complementarity. Hence, an optimal low-carbon scheduling model of ILES considering oxygen-enriched combustion plant (OECP) and generalized energy storages (GESs) is proposed in this paper to reduce the carbon emissions, improve the renewable energy consumption level and reduce the operating costs of ILES. More specifically, the cooperation mechanism between OECP and power to gas (P2G) is established to maintain a high carbon capture level during peak load periods; the GESs under the background of ILES is modelled, which can make full use of the multiple energy complementarity to improve the renewable energy consumption level of ILES. Case studies are performed on an IES that consists of an IEEE 33-bus distribution network, a 44-node district heating network and a 20-node natural gas network to verify the effectiveness and advantages of the proposed model.

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“…WM K,2 is the outflow water from the pipeline of WM K within τ 2 − τ j , and WM K+1,1 is the outflow water from the pipeline of WM K+1 within τ j − τ 1 . Therefore, hot water out of the pipe in the period of time ∆t is the sum of WM K,2 and WM K+1,1 , and the water temperature at the exit of the pipe can be expressed by the weighted average of mass of these two water masses, which is shown in Equation ( 11) [25].…”

Section: Hybrid Model Of Node Temperaturementioning

confidence: 99%

Optimal Dispatching of Integrated Electricity and Heating System with Multiple Functional Areas Considering Heat Network Flow Regulation

Zhang

Chen

et al. 2021

Energies

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The integrated electricity and heating system (IEHS) can satisfy the diversified energy demand and improve energy efficiency through electro-thermal synergy and complementarity, which is beneficial for energy transformation and global climate governance. To reduce the operation cost, renewable energy source (RES) abandonment, and purchased electricity of IEHS, an optimal dispatching method of IEHS with multiple functional areas considering the flow regulation of the heat network is proposed. Firstly, the functional area of IEHS is classified and the functional area’s load characteristics are analyzed. Secondly, a heat network model considering refined resistance and dynamic characteristics is constructed and the operation regulation modes of the heat network are analyzed. Thirdly, an optimal dispatching model of IEHS with multiple functional areas considering heat network flow regulation is established to minimize the operation cost of IEHS with multiple functional areas while considering the penalty cost of RES abandonment and time-of-use electricity price. Finally, a certain region in China is taken as a case study to verify the effectiveness of the proposed optimal dispatching model. The case study shows that the quality regulation mode of the heat network considering flow change in multiple stages can effectively reduce RES abandonment by 2.4%, purchased electricity by 5.4%, and the system operation cost by 1.7%. In addition, compared with the independent dispatching of each functional area, the joint dispatching of IEHS with multiple functional areas can reduce the amount of RES abandonment by 95.2% and purchased electricity by 66.5%, and lower the operation cost of IEHS by 23.6%.

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Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages

Cited by 95 publications

References 44 publications

Bi-Level Optimal Capacity Planning of Load-Side Electric Energy Storage Using an Emission-Considered Carbon Incentive Mechanism

Bi-Level Optimal Capacity Planning of Load-Side Electric Energy Storage Using an Emission-Considered Carbon Incentive Mechanism

Optimal low‐carbon scheduling of integrated local energy system considering oxygen‐enriched combustion plant and generalized energy storages

Optimal Dispatching of Integrated Electricity and Heating System with Multiple Functional Areas Considering Heat Network Flow Regulation

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