Operational Strategy Optimization in an Optimal Sized Smart Microgrid

Moradi, Mohammad Hassan; Eskandari, Mohsen; Hosseinian, S. Mahdi

doi:10.1109/tsg.2014.2349795

Cited by 145 publications

(115 citation statements)

References 31 publications

Supporting

Mentioning

115

Contrasting

Order By: Relevance

“…For the sake of solving the optimization problem, different intelligent algorithms [70][71][72][73] can be used to achieve the optimization results. The comparison of multiple intelligent algorithms can help to enhance the credibility of the optimization results, and further the assessment of the cost and economic performance will become more reliable.…”

Section: Optimization Methods For the Superconducting Fault Current LImentioning

confidence: 99%

Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System

Chen

Yang

et al. 2017

Energies

View full text Add to dashboard Cite

Abstract:In regard to the rapid development of renewable energy sources, more and more photovoltaic (PV) generation systems have been connected to main power networks, and it is critical to enhance their transient performance under short-circuit faults conditions. This paper proposes and studies the coordinated control of a flux-coupling-type superconducting fault current limiter (SFCL) and a superconducting magnetic energy storage (SMES), to improve the fault ride through (FRT) capability and smooth the power fluctuation of a grid-connected PV generation system. Theoretical analyses of the device structure, operating principle and control strategy are conducted, and a detailed simulation model of 100 kW class PV generation system is built in MATLAB/SIMULINK. During the simulations of the symmetrical and asymmetrical faults, the maximum power point tracking (MPPT) control is disabled, and four different cases including without auxiliary, with SFCL, with SMES, and with SFCL-SMES, are compared. From the demonstrated results, the combination of without MPPT and with SFCL-SMES can more efficiently improve the point of common coupling (PCC) voltage sag, inhibit the DC-link overvoltage and alleviate the power fluctuation. Finally, a preliminary parameter optimization method is suggested for the SFCL and the SMES, and it is helpful to promote their future application in the real PV projects.

show abstract

Section: Optimization Methods For the Superconducting Fault Current LImentioning

confidence: 99%

Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System

Chen

Yang

et al. 2017

Energies

View full text Add to dashboard Cite

show abstract

“…The rest terms are calculated on the daily basis and then scaled to yearly values. The fuel cost of DFGs is quantified using the linear cost factor that synthesized from the fuel consumption rate and efficiency [24] of each unit. The load curtailment cost is expressed as the product of load reduction and penalty factor.…”

Section: Multi-period Microgrid Expansion Planningmentioning

confidence: 99%

A Chance Constrained Information-Gap Decision Model for Multi-Period Microgrid Planning

Cao

Wang

Zeng

2018

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

This paper presents a chance constrained information gap decision model for multi-period microgrid expansion planning (MMEP) considering two categories of uncertainties, namely random and non-random uncertainties. The main task of MMEP is to determine the optimal sizing, type selection, and installation time of distributed energy resources (DER) in microgrid. In the proposed formulation, information gap decision theory (IGDT) is applied to hedge against non-random uncertainties of long-term demand growth. Then, chance constraints are imposed in the operational stage to address the random uncertainties of hourly renewable energy generation and load variation. The objective of chance constrained information gap decision model is to maximize the robustness level of DER investment meanwhile satisfying a set of operational constraints with a high probability. The integration of IGDT and chance constrained program, however, makes it very challenging to compute. To address this challenge, we propose and implement a strengthened bilinear Benders decomposition method. Finally, the effectiveness of proposed planning model is verified through the numerical studies on both the simple and practical complex microgrid. Also, our new computational method demonstrates a superior solution capacity and scalability. Compared to directly using a professional mixed integer programming solver, it could reduce the computational time by orders of magnitude.

show abstract

“…The type and capacity of DG sources in a microgrid, and the rated power and energy storage capacity of a HESS, can be optimized by using methods such as those described in [35] and [36]. Sizing results for components of an example DC microgrid, their corresponding operating and maintenance costs (O&M C), and SOC limits of a HESS are shown in Table 3.…”

Section: Data and Parameters Of DC Microgridmentioning

confidence: 99%

Multi-objective energy management system for DC microgrids based on the maximum membership degree principle

Wang

Meng

et al. 2017

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

With the increasing quantity of DC electrical equipment, DC microgrids have been paid more and more attention. This paper proposes an approach to multi-objective optimisation of an energy management system (EMS) for a DC microgrid that includes a hybrid energy storage system (HESS). The operating and maintenance cost and the loss of power supply probability (LPSP) of the system are used as optimisation targets. The power flows of all distributed generators (DGs) in the DC microgrid during operating period are optimized. Based on the improved differential evolution (DE) algorithm, and by using the multi-objective non-dominated sorting method and the maximum membership degree principle (MMDP) of fuzzy control, the overall satisfaction degree of Pareto solutions to power flow optimization can be obtained. Simulation results verify the effectiveness of the proposed EMS optimization scheme, which is able to achieve an effective trade-off between the economy and the reliability of microgrid operation.

show abstract

Operational Strategy Optimization in an Optimal Sized Smart Microgrid

Cited by 145 publications

References 31 publications

Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System

Coordinated Control of Superconducting Fault Current Limiter and Superconducting Magnetic Energy Storage for Transient Performance Enhancement of Grid-Connected Photovoltaic Generation System

A Chance Constrained Information-Gap Decision Model for Multi-Period Microgrid Planning

Multi-objective energy management system for DC microgrids based on the maximum membership degree principle

Contact Info

Product

Resources

About