Optimal Scheduling of Multi-Carrier Energy System Based on Energy Hub Concept Considering Power-to-Gas Storage

Habibifar, Reza; Khoshjahan, Mohammad; Ghasemi, Mohamad Amin

doi:10.1109/isgt45199.2020.9087751

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…Parameters that need to ordered RP flow problems are the voltage of controlled buses, tap transformers with the capability to change tap under load, and the size of parallel capacitors. While solving RP flow, it is assumed that economic load flow has been completed, and the amount of real power produced by each generator is determined [ 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 ]. Therefore, RP planning can be expressed in ways that have functions and constraints [ 69 , 70 , 71 , 72 ].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

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The power system planning problem considering system loss function, voltage profile function, the cost function of FACTS (flexible alternating current transmission system) devices, and stability function are investigated in this paper. With the growth of electronic technologies, FACTS devices have improved stability and more reliable planning in reactive power (RP) planning. In addition, in modern power systems, renewable resources have an inevitable effect on power system planning. Therefore, wind resources make a complicated problem of planning due to conflicting functions and non-linear constraints. This confliction is the stochastic nature of the cost, loss, and voltage functions that cannot be summarized in function. A multi-objective hybrid algorithm is proposed to solve this problem by considering the linear and non-linear constraints that combine particle swarm optimization (PSO) and the virus colony search (VCS). VCS is a new optimization method based on viruses’ search function to destroy host cells and cause the penetration of the best virus into a cell for reproduction. In the proposed model, the PSO is used to enhance local and global search. In addition, the non-dominated sort of the Pareto criterion is used to sort the data. The optimization results on different scenarios reveal that the combined method of the proposed hybrid algorithm can improve the parameters such as convergence time, index of voltage stability, and absolute magnitude of voltage deviation, and this method can reduce the total transmission line losses. In addition, the presence of wind resources has a positive effect on the mentioned issue.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Syah

Mianaei

Elveny

et al. 2021

Sensors

Self Cite

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“…Likewise, for the discharging mode of GSS, a similar constraint to ( 25) is defined as (26). To avoid simultaneously charging and discharging modes in GSS, constraint (27) is applied. The state of charge (SoC) of GSS is calculated through Equation ( 28) by considering charged and discharged gas.…”

Section: Gss Technical Constraintsmentioning

confidence: 99%

“…In Reference [26], a two-stage multi-objective stochastic unit-commitment approach was proposed for IPGNs, in which flexible energy devices as P2G facility and DR are embedded to lessen the environmental gas emissions and operating costs. The optimal scheduling structure of an EH was reported in Reference [27]; it was equipped with GenCos and multi-carrier energy storage systems, i.e., a P2G system, in order to demonstrate the effectiveness of the P2G system on the operation costs. In Reference [15], the valuable outcomes of the P2G facility and compressed air energy storage (CAES) system on reducing the RESs' intermittency and operation costs of the proposed EH were indicated.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimal Operation Strategy for a Hybrid Energy System Based on Gas-Fired Unit, Power-to-Gas Facility and Wind Power in Energy Markets

et al. 2020

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Gas-fired power units (GFUs) are the best technology in recent years due to lower natural gas prices, higher energy transformation performance, and lower CO2 emission, as compared to the conventional power units (CPUs). A permanent storage facility called power-to-gas (P2G) technology can provide adaptation of ever-increasing renewable energy sources (RESs) fluctuations in power system operations, as well as reduce dependency to buy natural gas from the gas network. High investment and utilization expenditures of state-of-the-art P2G technology do not lead to economically effective operation individually. Therefore, in the present paper, an integrated GFUs-P2G-wind power unit (WPU) system is proposed to determine its optimal bidding strategy in the day-ahead energy market. A robust optimization approach is also taken into account to accommodate the proposed bidding strategy within the electricity price uncertainty environment. This problem was studied by using a case study that included a P2G facility, GFU, and WPUs to investigate the effectiveness and capability of the proposed robust bidding strategy in the day-ahead energy market. Simulation results indicate that the obtained profit increase by introducing the integrated energy system, and the P2G facility has a significant effect on participating GFUs, which have gas-consumption limitations in order to achieve maximum profit. Moreover, as it can be said, the amount of purchased natural gas is decreased in the situations, which do not have any gas-consumption limitations. Furthermore, the proposed system’s operation in the robust environment provides more robustness against electricity price deviations, although it leads to lower profit. In addition, deploying P2G technology causes about 1% incrementation in the introduced system profit.

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“…The role of P2G technology is researched in [12] for optimal operation of the integrated electricity and natural gas networks. The optimal scheduling of MCESs in the presence of P2G storage is investigated in [13] to supply the electrical, thermal, and gas loads while considering the uncertainties of renewable energies and electricity price as well as exchange energy with both electrical and natural gas networks. In [14], the scheduling problem of electricity and gas network coordinators is studied which considers the natural gas storage systems and in the absence of renewable energy resources.…”

Section: Introductionmentioning

confidence: 99%

Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach

et al. 2021

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This paper presents a day-ahead scheduling approach for a multi-carrier residential energy system (MRES) including distributed energy resources (DERs). The main objective of the proposed scheduling approach is the minimization of the total costs of an MRES consisting of both electricity and gas energy carriers. The proposed model considers both electrical and natural gas distribution networks, DER technologies including renewable energy resources, energy storage systems (ESSs), and combined heat and power. The uncertainties pertinent to the demand and generated power of renewable resources are modeled using the chance-constrained approach. The proposed model is applied on the IEEE 33-bus distribution system and 14-node gas network, and the results demonstrate the efficacy of the proposed approach in the matters of diminishing the total operation costs and enhancing the reliability of the system.

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Optimal Scheduling of Multi-Carrier Energy System Based on Energy Hub Concept Considering Power-to-Gas Storage

Cited by 14 publications

References 19 publications

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

RETRACTED: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources

Robust Optimal Operation Strategy for a Hybrid Energy System Based on Gas-Fired Unit, Power-to-Gas Facility and Wind Power in Energy Markets

Network-Constrained Optimal Scheduling of Multi-Carrier Residential Energy Systems: A Chance-Constrained Approach

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