Optimal Investment Planning of Bankable Multi-Carrier Microgrid Networks

Azimian, Mahdi; Amir, Vahid; Mohseni, Soheil; Brent, Alan C.; Bazmohammadi, Najmeh; Guerrero, Josep M.

doi:10.1016/j.apenergy.2022.120121

Cited by 15 publications

(15 citation statements)

References 45 publications

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“…Here, to eliminate and deal with research gaps, GTEP formulation in electricity and gas networks with electrical, heat, and gas consumers (a multi-carrier microgrid) is presented taking into account the resilience of these networks against floods and earthquakes as Figure 1. Noted that here, multi-carrier microgrid refers to a large consumer that is consumed the electricity, gas and heat energies, simultaneously [24][25][26][27]. There are two major actors in the proposed scheme.…”

Section: Contributionsmentioning

confidence: 99%

Resilience‐oriented expansion planning of multi‐carrier microgrid utilizing bi‐level technique

Dehshiri Badi,

Amir,

Shariatmadar

2023

IET Renewable Power Gen

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This paper presents the generation and transmission expansion planning (GTEP) in electricity and gas networks by considering their resilience against floods and earthquakes. These networks supply electricity, heat, and gas consumption energies as a multi‐carrier microgrid. The scheme is expressed in the form of bi‐level optimization, the upper level of which is the minimization of generation and transmission planning cost (total investment cost and expected operating cost) in the mentioned networks constrained to the investment budget and the planning model of the mentioned elements. Lower‐level formulation minimizes the total expected annual operating cost of these networks and the expected outage cost of electricity, heat, and gas consumers in the event of floods and earthquakes. This formulation is bound by the power flow equations of electricity and gas networks, the operation and resilience constraints of the networks, and the limitation on generation capability. In this problem, the expected energy not‐supplied and the outage cost during natural disasters are considered resilience indicators. Next, a single‐level model for the proposed design is extracted from the Karush–Kuhn–Tucker (KKT) method. The basic requirement of this method is the convexity of the lower‐level constraints. For this purpose, first, a linear approximation model is obtained for the lower‐level constraints of the problem. Furthermore, stochastic optimization is adopted to model the uncertainty of load, renewable power, and network equipment availability during floods and earthquakes. Finally, the extracted numerical results confirm the capability of the proposed scheme in improving the operation and resilience of the mentioned networks using optimal generation and transmission planning.

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Section: Contributionsmentioning

confidence: 99%

Resilience‐oriented expansion planning of multi‐carrier microgrid utilizing bi‐level technique

Dehshiri Badi,

Amir,

Shariatmadar

2023

IET Renewable Power Gen

Self Cite

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“…However, in this paper, a linearized version of the Weymouth equation is considered. According to [30], a simple substitution in which 𝜋 = p 2 eliminates the nonlinearity of the right-hand side of the (26). The left-hand side of ( 26) can be represented as a piecewise linear function in which each piece is modelled by a slope M, an axis intercept B, and a binary variable o representing its segment status.…”

Section: Natural Gas Network Constraintsmentioning

confidence: 99%

“…In this method, each MG acts like an energy hub system that consists of cooling, heating, natural gas (NG), and electricity carriers. An integrated planning framework for the optimal planning of connected MCMGs with the aim of minimizing the total discounted costs is presented in [26]. In [27], a risk-averse model is proposed for the optimal operation of MCMMG systems which takes into account the environmental restrictions.…”

Section: Introductionmentioning

confidence: 99%

“…In [27], a risk-averse model is proposed for the optimal operation of MCMMG systems which takes into account the environmental restrictions. In [23][24][25][26][27], neither the security of MCMMG, nor some other critical issues are considered, including:…”

Section: Introductionmentioning

confidence: 99%

“…In [27], a risk‐averse model is proposed for the optimal operation of MCMMG systems which takes into account the environmental restrictions. In [23–27], neither the security of MCMMG, nor some other critical issues are considered, including: According to the investments that are made in the field of microgrid installation, it is possible to have MGs with independent owners within the MMG. In this case, access to the data of MGs might be limited. In some countries, the control and operation of networks associated with various energy carriers are done independently of each other.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Decentralized risk‐based security‐constrained optimal power flow in interconnected multi‐carrier microgrids

Kalajahi

Seyedi

Tohidi

et al. 2022

IET Generation Trans & Dist

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The security of energy systems has always been one of the most important issues of energy systems operation. The multi-carrier multi-microgrid (MCMMG) is one of the novel structures in the power system. High penetration of renewable resources and their uncertainty, their ability to operate in isolation mode, and the presence of energy hubs in MCMMG systems increase the importance of security assessment in this type of system. This paper presents a decentralized risk-based security-constrained optimal power flow model for an MCMMG system. The stochastic nature of wind energy, photovoltaic generation, and electrical and heating loads are considered in the proposed model. In the model, the risk level of the system is determined by considering both the electrical and natural gas (NG) networks' contingencies. The proposed model is decomposed into three types of subproblems with the augmented Lagrangian relaxation (ALR) method: The subproblem related to the multi-microgrid operator level, the NG network subproblem, and the individual microgrid level subproblem. The decomposed problem is solved using MATLAB software. According to the results, the proposed model can secure the system from high costs that may impose on the system due to the contingency occurrence.

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Optimal technoeconomic reliability‐oriented design of islanded multicarrier microgrids with electrical and hydrogen energy storage systems considering emission concerns

Imanloozadeh,

Nazififard,

Hashemi‐Dezaki

2024

Energy Science & Engineering

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Although several studies have been performed on energy systems, there is a gap in examining the impact of energy storage systems (ESSs) technologies on the technoeconomic design of optimal multicarrier microgrids (MCMGs), considering environmental concerns. This paper aims to address this research gap by developing an optimal technoeconomic reliability‐oriented design of MCMGs, specifically focusing on battery storage systems (BSSs) and hydrogen storage systems (HSSs). The study was applied to MCMG at an actual MCMG, using HOMER Pro software. Additionally, a reliability‐oriented sensitivity analysis is conducted to understand the effects of reliability constraints, such as desired maximum capacity shortage, on the performance of various ESS technologies. One of the main contributions is analyzing the HSS and BSS from different viewpoints, such as cost, emission, and other technical–economic features for MCMGs. The comparative test results show that if a highly reliable MCMG is desired, the BSS‐based MCMG is the more practical option in terms of technoeconomic indices. However, regardless of reliability constraints, the HSS‐based MCMGs offer better environmental conditions. The total net present cost of the HSS‐based MCMG is 1.68% higher than the BSS‐based one, while it has 17.99% less CO2 emissions, while the HSS one has 17.99% less CO2 emissions.

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Optimal Investment Planning of Bankable Multi-Carrier Microgrid Networks

Cited by 15 publications

References 45 publications

Resilience‐oriented expansion planning of multi‐carrier microgrid utilizing bi‐level technique

Resilience‐oriented expansion planning of multi‐carrier microgrid utilizing bi‐level technique

Decentralized risk‐based security‐constrained optimal power flow in interconnected multi‐carrier microgrids

Optimal technoeconomic reliability‐oriented design of islanded multicarrier microgrids with electrical and hydrogen energy storage systems considering emission concerns

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