Optimal energy pricing for integrated natural gas and electric power network with considerations for techno-economic constraints

Amirnekooei, K.; Ardehali, M.M.; Sadri, A.

doi:10.1016/j.energy.2017.01.145

Cited by 29 publications

(11 citation statements)

References 16 publications

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“…The pressure losses and corresponding decline in the efficiency of gas transportation can be affected by several factors, gas pipelines' diameter, operation pressure, and internal roughness for instance [30], which are represented in C nm…”

Section: Natural Gas Flow Constraintsmentioning

confidence: 99%

Security constrained multi‐objective bi‐directional integrated electricity and natural gas co‐expansion planning considering multiple uncertainties of wind energy and system demand

Aldarajee¹,

Hosseinian²,

Vahidi³

et al. 2020

IET Renewable Power Generation

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This study presents a security-constrained optimisation problem for co-expansion planning of integrated electric power and natural gas (SCEP-EPNG), taking into account multiple uncertainties of wind power generation and electric system load demand. The proposed model is a bi-level and bi-directional approach, which considers the flow of electric power to the natural gas network and vice versa through the power to gas and gas to power technologies, respectively. The security of the system is investigated from the static voltage stability point of view using the L-index approach. Also, the information-gap decision theory technique is adopted for modelling the uncertainties. The model aims at minimising the investment and operation costs as well as voltage stability index in a multi-objective optimisation problem, solved by the ɛ-constrained method, and the best compromise solution is calculated using the fuzzy-based min-max method. The proposed SCEP-EPNG model is implemented on the integrated Garver six-node electric power and seven-node natural gas networks, as well as integrated IEEE 24-node electric power and 12-node natural gas networks. Simulation results indicate the importance of voltage stability constraints in long-term energy planning. Furthermore, the model shows the effects of multiple uncertainties on co-expansion planning decisions. S i, j, d, t V, θ power flow of transmission lines, MVA V i, d, t voltage magnitude, p.u θ i j, d, t voltage angle, p.u χ i, j, a, t TL binary variable indicating installation status of transmission lines (1/0: installed/otherwise) χ n, m, z, t PL binary variable indicating installation status of gas pipelines (1/0: installed/otherwise) χ g, t GEN binary variable indicating the installation status of electric generation units (1/0: installed/otherwise) χ i, t WF binary variable indicating the installation status of wind farms (1/0: Installed/otherwise) α t uncertainty radius of uncertain parameters

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Section: Natural Gas Flow Constraintsmentioning

confidence: 99%

Security constrained multi‐objective bi‐directional integrated electricity and natural gas co‐expansion planning considering multiple uncertainties of wind energy and system demand

Aldarajee¹,

Hosseinian²,

Vahidi³

et al. 2020

IET Renewable Power Generation

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“…According to the current-voltage characteristic of the diode, the output characteristic of a PV cell can be expressed as (2). 5,23 Where, V pv_c is the output voltage of a PV cell.…”

Section: Pv Model In the Pv Stationmentioning

confidence: 99%

“…World demand for energy is projected to more than double by 2050 and to more than triple by the end of the century . As one of the most important sources of energy, electrical energy has substantial impacts on the economy while being adopted as a basis for quantifying economic development . At the present, some areas still cannot be connected to existing main power grids, which has been an obstacle to local economic development .…”

Section: Introductionmentioning

confidence: 99%

“…1 As one of the most important sources of energy, electrical energy has substantial impacts on the economy while being adopted as a basis for quantifying economic development. 2 At the present, some areas still cannot be connected to existing main power grids, which has been an obstacle to local economic development. 3 The renewable-energy technology, represented by environmentally friendly solar and wind generation, provides a solution to alleviate regional grid-connection burden.…”

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confidence: 99%

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DC‐type grid‐connection system of PV generation and its control schemes

Dai

Zhu

et al. 2019

Int Trans Electr Energ Syst

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Summary Compared with the AC‐type photovoltaic (PV) grid‐connection system, its DC counterpart has characteristics like simpler control mode, less power loss, and higher PV utilization. However, there are few researches that gave clearly the topology and control strategies of the DC‐type integration system of PV generation, especially systems with the multimodule boost full bridge isolation converter (BFBIC). In this paper, taking a pilot project as an example, the topology and control strategies of the DC‐type grid‐connection system are given. Models of the PV cell, the BFBIC, and the clamp double submodule (CDSM)‐based modular multilevel converter (MMC) are presented first. Then, the output voltage and power of PV are analyzed and compared. Suggestions on the application of the control strategy are given finally.

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“…Katz et al [24] analyzed the effect of residential electricity expenditures on the changes in electricity price using a partial equilibrium model. Amirnekooei et al [25] used the interior point algorithm for pricing of natural gas and electricity based on technical-economic constraints. Oseni and Pollitt [26] conducted a business-model study on various aspects of energy prices based on 50-year records of residential power pricing.…”

Section: Introductionmentioning

confidence: 99%

A mathematical model for simultaneous optimization of renewable electricity price and construction of new wind power plants (case study: Kermanshah)

Qolipour

Mostafaeipour

Rezaei

2017

Int J Energy Environ Eng

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This study aimed to provide a mathematical model for the determination of optimal wind power price in the case of construction of new off-grid-connected wind power plants in different areas. The proposed model is based on nine features including construction cost, side costs (cost of replacement, maintenance, and repairs), pollution, electricity generation, profit, renewability level, green economy, rate of return on investment, and consumption. First, the inputs of the mathematical model were obtained by technical-economic feasibility evaluation of the study areas in the software Homer using the 10-year wind speed data (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016). The optimal wind power prices were then determined in three different modes by solving the mathematical model with MATLAB. The modes considered in optimization were the construction of 1, 2, and 3 wind power plants in the study areas. Simulation of construction of wind power plants in each mode was conducted in the software Homer. The results showed that the optimal wind power price resulting from construction of 1, 2, and 3 are 0.159, 0.151, and 0.140 $ per kilowatt, respectively. The proposed mathematical model was found to have sufficient capability in determination of optimal wind power price.

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Optimal energy pricing for integrated natural gas and electric power network with considerations for techno-economic constraints

Cited by 29 publications

References 16 publications

Security constrained multi‐objective bi‐directional integrated electricity and natural gas co‐expansion planning considering multiple uncertainties of wind energy and system demand

Security constrained multi‐objective bi‐directional integrated electricity and natural gas co‐expansion planning considering multiple uncertainties of wind energy and system demand

DC‐type grid‐connection system of PV generation and its control schemes

A mathematical model for simultaneous optimization of renewable electricity price and construction of new wind power plants (case study: Kermanshah)

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