An efficient solution method for integrated unit commitment and natural gas network operational scheduling under “Duck Curve”

Fallahi, Faramarz; Maghouli, Pouria

doi:10.1002/2050-7038.12662

Cited by 7 publications

(7 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, 33‐bus DN( U ref = 12.66 kV) 37 and 20‐node NG ( p ref = 400 kpa) 3,19 coupled with EH are established in the test system to verify the proposed method in this paper. As shown in Figure 7, bus 32 in the DN and node 6 in NG are connected to the EH 9 .…”

Section: Results Analysismentioning

confidence: 99%

“…In recent years, more attention has been paid to the joint regulation and dispatch of various forms of energy to achieve energy‐saving and emission‐reduction 1,2 . At the present stage, the combined operation methods of power and natural gas system, 3,4 power and heating system 5,6 are widely studied and applied, which increases the economic and environmental benefits of the energy system significantly.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Section: Results Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

show abstract

“…where, C RP PV (y), C RP WG (y), and C RP BESS (y) are the the replacement cost of PV, WG, and BESS in the year y, respectively. ii Emission function: The second objective function is to minimize the carbon emission which can be calculated by Equation (10).…”

Section: Objective Function Imentioning

confidence: 99%

“…On the other hand, the operational scheduling of RE in a power system converts the load curve into a duck curve. This duck curve concept is widely used to describe the imbalance of time between peak demand and the PV generation [10,11]. The battery energy storage system (BESS) is generally considered to be effective equipment for dealing with these problems as it can store extra energy to deliver electricity at lower power generation.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission

Akter

Howlader

Saber³

et al. 2021

Energies

View full text Add to dashboard Cite

Optimal sizing of the power system can drastically reduce the total cost, which is challenging due to the fluctuation in output power of RE (primarily wind and solar) and pollution from thermal generators. The main purpose of this study is to cope with this output power uncertainty of renewables by considering ADLC, residential PV, and BESS at the lowest cost and with the least amount of carbon emission, while putting less burden on consumers by minimizing the IL. This paper optimizes the cost and carbon emission function of a hybrid energy system comprising PV, WG, BESS, and DG at Aguni Island, Japan, using a multi-objective optimization model. To solve the proposed problem in the presence of ADLC, the ϵ-constraint method and MILP are utilized. After obtaining all possible solutions, the FSM selects the best possible solution among all solutions. The result shows that while case 1 has a lower energy cost than the other cases, the quantity of IL is quite significant, putting customers in a burden. In case 2 and case 3, the total energy cost is 11.23% and 10% higher than case 1, respectively, but the sum of the IL is 99% and 95.96% lower than case 1 as the ADLC is applied only for the consumers who have residential PV and BESS, which can reflect the importance of residential PV and BESS. The total cost of case 3 is 1.72% lower than case 2, but IL is higher because sometimes home PV power will be used to charge the home BESS.

show abstract

“…The intermittent and the stochastic nature of RERs (i.e., photovoltaic units (PVs) and wind turbines) resulted from their dependence on environmental features like solar-irradiance and wind-speed could cause abrupt changes in the exchanged-power of the system when the output power of RERs suddenly drops. In this context, based on the volatile-ramp-up in the California network, the decrease in the power production of PVs and the increase in load demands in the evening time periods could result in a considerable ramp-up in the exchanged-power of the system [3]. As a result, the energy systems in this operational condition would require a significant amount of flexible-ramp-up to impede the increasing gap between supply and demand [4].…”

Section: Introductionmentioning

confidence: 99%

Incentive-Based Flexible-Ramp-Up Management in Multi-Microgrid Distribution Systems

Fattaheian‐Dehkordi

Abbaspour

Fotuhi‐Firuzabad

et al. 2022

IEEE Systems Journal

View full text Add to dashboard Cite

The increasing integration of renewable energy resources (RERs) and the expansion of multi-microgrid systems have transformed the operational condition of power systems. Respectively, the high-amount installation of RERs could result in the volatile changes exchanged-power of local systems, when their power generation drops suddenly. Nevertheless, the available ramp-up power for compensating the supply-demand gap in the power system could be limited due to the operational constraints of power networks and generation units. As a result, in this article, a transactive flexible-ramp-up-management-mechanism is offered in order to enable system operators to exploit the scheduling of microgrid systems with the aim of ensuring power requirements of the multi-microgrid system meet the flexible-ramp-up constraints. Therefore, the mechanism would result in the efficient rescheduling of local flexible resources in a multi-microgrid distribution system in order to address the ramp-up constraints in the system. The offered mechanism limits the information exchange between microgrids and the system operator to transactive control signals and accumulated power exchanges to impede privacy concerns of independently operated entities. Lastly, the recommended mechanism is implemented on the IEEE-37-bus test system, where, its effectiveness in addressing the overall system flexible-ramp-up limitations is investigated.

show abstract

An efficient solution method for integrated unit commitment and natural gas network operational scheduling under “Duck Curve”

Cited by 7 publications

References 43 publications

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

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

Optimal Sizing of Hybrid Microgrid in a Remote Island Considering Advanced Direct Load Control for Demand Response and Low Carbon Emission

Incentive-Based Flexible-Ramp-Up Management in Multi-Microgrid Distribution Systems

Contact Info

Product

Resources

About