Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission

Amir, Vahid; Jadid, Shahram; Ehsan, Mehdi

doi:10.3390/en10122109

Cited by 22 publications

(12 citation statements)

References 37 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zheng et al [41] go further and develop a load shifting algorithm based on the state of renewable energy generation and TOU tariff using linear programming, while optimally designing a biomassintegrated micro-grid. Similarly, Amir et al [42] have reported on a two-stage method for optimal planning and scheduling of a multi-carrier micro-grid under the TOU pricing scheme. Hakimi and Moghaddas-Tafreshi have optimally sized a smart micro-grid that incorporates domestic flexible loads.…”

Section: Literature Reviewmentioning

confidence: 99%

A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm

Mohseni

Burmester

2019

Energy Conversion and Management

View full text Add to dashboard Cite

The off-grid electrification of remote communities by utilizing renewable energy technologies through the development of smart micro-grids is necessary to realize the sustainable development goals. Optimal sizing of an isolated micro-grid is challenging as it needs to satisfy the electricity demand of the customers from a long-term perspective, whilst adhering to constraints in terms of power supply reliability and system operation without losing computational tractability. This paper proposes a novel method for the optimal sizing process, subject to satisfying a reliability index for meeting the loads. The proposed method also incorporates a direct load control demand response program, and utilizes a data compression-based model reduction technique to flatten the load curve and reduce the computational effort. Furthermore, a conceptual micro-grid model incorporating photovoltaic panels, wind turbines, a battery bank, a DC/AC converter, and an electric vehicle parking lot is used as a test-case system to evaluate the performance of the proposed optimal sizing method. Moreover, a maiden attempt is made to investigate and confirm the effective application of the moth-flame optimization algorithm (MFOA) within the context of the proposed methodology. Accordingly, the performance of the MFOA is compared with the most preferred and up-todate meta-heuristics employed for solving the optimal equipment capacity planning problems of renewable and sustainable energy systems, which has confirmed its superiority in terms of nearing the optimal solutions. In addition, the simulation results demonstrate that implementing a demand response program, by scheduling the charging of electric vehicles, together with directly controlling the domestic deferrable loads, can avoid overloading. This improves the utilization of the available components, which, in turn, reduces the size of some of the components and the life-cycle cost of the system. Moreover, Hengam Island, Iran is used as a representative case study site to demonstrate the applicability and effectiveness of both the proposed method and the conceptualized micro-grid system: the calculated levelized cost of electricity of $0.15/kWh, the discounted payback period of 10.53 years, the profitability index of 2.09%, and the internal rate of return of 11.28%, offer incontrovertible proof that the realization of the conceptualized micro-grid on this island is not only technically feasible, but also economically viable.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm

Mohseni

Burmester

2019

Energy Conversion and Management

View full text Add to dashboard Cite

show abstract

“…The investment cost of selected components (CHP, transformer, steam boiler, and PV) are modeled in Equation (16). The NPV of energy purchase cost and sales revenue from the utility grid on the planning horizon is formulated in the first and second term of Equation (17), respectively.…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

“…A methodology to identify the optimal size and efficiency of a combined heat and power (CHP) plant is presented . Amir et al propose a long‐term MCMG expansion planning model in the electricity, natural gas, and district heat grid‐connected mode by implementing the net zero emission constraints over the planning horizon. The objective is to evaluate and minimize the total net present value of investment, operation, and maintenance costs, while the net zero emission constraint is satisfied.…”

Section: Introductionmentioning

confidence: 99%

Reliability‐constrained optimal design of multicarrier microgrid

Amir

Azimian

Razavizadeh

2019

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

Summary The unprecedented penetration of distributed generation in distribution energy networks provides utilities with a unique opportunity to manage portions of networks as microgrids (MGs). The implementation of an MG may offer many benefits, such as capital investments deferral, reduction of greenhouse gas emissions, improvement in reliability, and reduction in network losses. Future energy networks will contain various forms of energy which are acquired by mixing several sources and energy storages in the concept called multicarrier microgrid (MCMG). In order to draw the most effective performance from MCMG systems, appropriate design and operation are essential. This paper represents a compound co‐optimization strategy to find the best type and size of components and the associated optimum dispatch in a grid‐tied community MCMG implementing reliability criteria. Here, the required level of reliability is handled within the optimization process to fulfill multiple demands. The mixed‐integer nonlinear programming (MINLP) technique of general algebraic modeling system (GAMS) and the genetic algorithm of MATLAB software are utilized to solve the co‐optimization problem. Additionally, a contemporary time‐based demand response program is modeled to reshape the load curve, as well as prevent the undue use of energy in peak hours. Eventually, the proposed strategy is applied to a test case to select the best components while respecting reliability restrictions. Numerical simulations prove the effectiveness of the proposed expansion planning.

show abstract

“…The MILP method presents some scalability limits as soon as binary variables are introduced to approximate non-convex constraints rather than non-linear programing. Reference (Amir et al , 2017a) proposes a long-term multi-carrier microgrid expansion planning model in the electricity, natural gas and district heat grid-connected mode by considering the net zero-emission constraints over the planning horizon. The objective is to evaluate and minimize the total net present value cost, including investment, operation and maintenance, while the net zero-emission constraint is satisfied.…”

Section: Introductionmentioning

confidence: 99%

Operation of networked multi-carrier microgrid considering demand response

Amir

Jadid

Ehsan

2019

COMPEL

Self Cite

View full text Add to dashboard Cite

Purpose Microgrids are inclined to use renewable energy resources within the availability limits. In conventional studies, energy interchange among microgrids was not considered because of one-directional power flows. Hence, this paper aims to study the optimal day-ahead energy scheduling of a centralized networked multi-carrier microgrid (NMCMG). The energy scheduling faces new challenges by inclusion of responsive loads, integration of renewable sources (wind and solar) and interaction of multi-carrier microgrids (MCMGs). Design/methodology/approach The optimization model is formulated as a mixed integer nonlinear programing and is solved using GAMS software. Numerical simulations are performed on a system with three MCMGs, including combined heat and power, photovoltaic arrays, wind turbines and energy storages to fulfill the required electrical and thermal load demands. In the proposed system, the MCMGs are in grid-connected mode to exchange power when required. Findings The proposed model is capable of minimizing the system costs by using a novel demand side management model and integrating the multiple-energy infrastructure, as well as handling the energy management of the network. Furthermore, the novel demand side management model gives more accurate optimal results. The operational performance and total cost of the NMCMG in simultaneous operation of multiple carriers has been effectively improved. Originality/value Introduction and modeling of the multiple energy demands within the MCMG. A novel time- and incentive-based demand side management, characterized by shifting techniques, is applied to reshape the load curve, as well as for preventing the excessive use of energy in peak hours. This paper analyzes the need to study how inclusion of multiple energy infrastructure integration and responsive load can impact the future distribution network costs.

show abstract

Optimal Design of a Multi-Carrier Microgrid (MCMG) Considering Net Zero Emission

Cited by 22 publications

References 37 publications

A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm

A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm

Reliability‐constrained optimal design of multicarrier microgrid

Operation of networked multi-carrier microgrid considering demand response

Contact Info

Product

Resources

About