Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries

Eseye, Abinet Tesfaye; Lehtonen, Matti; Tukia, Toni; Uimonen, Semen; Millar, Robert John

doi:10.1109/access.2019.2932461

Cited by 68 publications

(25 citation statements)

References 20 publications

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“…In recent years, in order to solve the problem of environmental pollution and reduce the demand of fossil fuels for conventional power generation, distributed generation (DGs) including renewable energy (RES) and energy storage systems (ESS) have been widely developed [1], [2]. Moreover, to coordinate the contradiction between the conventional grid The associate editor coordinating the review of this manuscript and approving it for publication was Tariq Masood .…”

Section: Introductionmentioning

confidence: 99%

Review of Power Sharing, Voltage Restoration and Stabilization Techniques in Hierarchical Controlled DC Microgrids

et al. 2019

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In order to overcome the problem of power generation in distributed energy, microgrid(MG) emerges as an alternative scheme. Compared with the ac microgrids, the dc microgrids have the advantages of high system efficiency, good power quality, low cost, and simple control. However, due to the complexity of the distributed generation system, the conventional droop control shows the drawbacks of low current sharing accuracy. Therefore, the improved primary control methods to enhance current sharing accuracy are systematically reviewed, such as particle swarm optimization programming, probabilistic algorithm and voltage correction factor scheme. However, it is difficult to achieve stable and coordinated operation of the dc microgrids by relying on the primary control. Hence, the various secondary control approaches, such as dynamic current sharing scheme, muti-agent system (MAS) control and virtual voltage control methods have been summarized for voltage regulation. Furthermore, the energy management system (EMS), modular-based energy router (MBER) and other coordinated control methods are reviewed to achieve power management. Besides, various control methods to compensate the effect of communication delay are summarized. Moreover, linear matrix inequality (LMI), Lyapunov-Krasovskii functional stability and Takagi-Sugeno model prediction scheme can be adopted to eliminate the influence of communication delay. In addition, due to the constant power loads (CPL) exhibit negative impedance characteristics, which may result in the output oscillation of filter. Thus, various control approaches have been reviewed to match the impedance, such as the nonlinear disturbance observer (NDO) feedforward compensation method, linear programming algorithm, hybrid potential theory and linear system analysis of polyhedral uncertainty. The merits and drawbacks of those control strategies are compared in this paper. Finally, the future research trends of hierarchical control and stability in dc microgrids and dc microgrid clusters are also presented. INDEX TERMS DC microgrid, nonlinear droop control, multi-agent system, consensus control, communication delay, constant power load, hierarchical control.

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Section: Introductionmentioning

confidence: 99%

Review of Power Sharing, Voltage Restoration and Stabilization Techniques in Hierarchical Controlled DC Microgrids

et al. 2019

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“…The case study shows that flexible resource planning can effectively improve system flexibility and reliability. References [25], [26] point out that the demand for system flexibility is increased in the power system with DRE, and the flexible operation technology of ESS can improve the flexibility of the system. In [27], a fundamental model for defining and optimizing distributed energy flexibility in distribution buses is proposed.…”

Section: Introductionmentioning

confidence: 99%

Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market

et al. 2020

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Due to the random volatility, a large amount of renewable energy will bring challenges to the security and stability of distribution network. Comprehensive consideration of system economics, security and flexibility has become the focus of research on distribution network optimization planning under the new situation. For the flexible resource allocation problem of distribution network, this paper analyzes the supply and demand relationship of the flexibility of the distribution network, and establishes a bi-level operationplanning joint optimization model for flexible resources. In the operational layer, we not only introduce the insufficient flexibility rate as the evaluation index of system flexibility, but also introduce the network loss, the abandoned wind and solar energy in the economic penalty, aiming at optimizing the annual operating cost of the system. In the planning layer, we evaluate the system security by introducing the comprehensive security index of the system, aiming at optimizing the annual comprehensive cost of the system. In addition, this paper also considers the third-party companies' investment in energy storage system in the electricity market, and further analyses the impact of energy storage operation strategies under different investors on flexible resource allocation. In this paper, the particle swarm optimization algorithm is used to solve the bi-level allocation model. Finally, the IEEE 33-bus test system is used for verification and analysis of the case. The results verify the validity and rationality of the proposed bi-level allocation model.

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“…Optimization‐based and heuristic single or multi‐level techniques are often employed to solve these problems. Mixed‐integer linear programming (MILP) has been employed for the optimal offline scheduling in several papers 7‐15 . Ravichandran et al, have employed an MILP model over a rolling‐time horizon 16 .…”

Section: Introductionmentioning

confidence: 99%

Dual‐layer power scheduling strategy for EV‐ESS‐controllable load in bi‐directional dynamic markets for low‐cost implementation

Toosi

Merabet

Swingler

2020

Int Trans Electr Energ Syst

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Optimal Energy Trading for Renewable Energy Integrated Building Microgrids Containing Electric Vehicles and Energy Storage Batteries

Cited by 68 publications

References 20 publications

Review of Power Sharing, Voltage Restoration and Stabilization Techniques in Hierarchical Controlled DC Microgrids

Review of Power Sharing, Voltage Restoration and Stabilization Techniques in Hierarchical Controlled DC Microgrids

Bi-Level Optimal Allocation of Flexible Resources for Distribution Network Considering Different Energy Storage Operation Strategies in Electricity Market

Dual‐layer power scheduling strategy for EV‐ESS‐controllable load in bi‐directional dynamic markets for low‐cost implementation

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