Bi-Level Two-Stage Robust Optimal Scheduling for AC/DC Hybrid Multi-Microgrids

Qiu, Haifeng; Zhao, Bo; Gu, Wei; Bo, Rui

doi:10.1109/tsg.2018.2806973

Cited by 135 publications

(78 citation statements)

References 34 publications

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“…represent the buses (DGs), and the edges  represent the line connections. Considering the inductive output impedance of DGs and the power angle differences are small [8], [12], the basic principle of droop control (i.e., P versus ω and Q versus V) can be represented as follows:…”

Section: B Problem Descriptionmentioning

confidence: 99%

“…The secondary control of islanded MGs achieves the frequency/voltage restoration while maintaining accurate power-sharing among DGs [6], [7]. The tertiary control is usually responsible for the optimal operation of MGs [8], [9]. In a hierarchical control scheme, the tertiary control determines the optimal dispatch values based on the load and renewable forecast.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed Control Scheme of Microgrids in Energy Internet Paradigm and Its Multisite Implementation

Wang

Nguyen

Syed

et al. 2021

IEEE Trans. Ind. Inf.

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Internet-of-Things concepts are evolving the power systems to the Energy Internet paradigm. Microgrids (MGs), as the basic element in an Energy Internet, are expected to be controlled in a corporative and flexible manner. This paper proposes a novel distributed control scheme for multi-agent systems (MASs) governed MGs in future Energy Internet. The control objectives are frequency/voltage restoration and proportional power sharing. The proposed control scheme considers both intra and inter MASs interactions, which offers group plug-and-play capability of distributed generators (DGs). The stability and communication delay issues in the control framework are analysed. A multi-site implementation framework is presented to explain the agent architecture as well as data exchange in local area networks and the cloud server. Then a cyber hardware-in-the-loop (C-HiL) experiment is conducted to validate the proposed control method with multi-site implementation. The experimental results prove the effectiveness and application potentials of the proposed approach. 1

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Section: B Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Distributed Control Scheme of Microgrids in Energy Internet Paradigm and Its Multisite Implementation

Wang

Nguyen

Syed

et al. 2021

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…To solve these key problems accurately and effectively, the above robust optimization model can be transformed into bi-level deterministic optimization models [26]:…”

Section: Bi-level Optimization Methodsmentioning

confidence: 99%

Robust Optimal Allocation of Decentralized Reactive Power Compensation in Three-Phase Four-Wire Low-Voltage Distribution Networks Considering the Uncertainty of Photovoltaic Generation

Lin

Zhang

et al. 2019

Energies

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Due to the unbalanced three-phase loads, the single-phase distributed photovoltaic (PV) integration, the long feeders, and the heavy loads in a three-phase four-wire low voltage distribution network (LVDN), the voltage unbalance factor (VUF), the network loss and the voltage deviation are relatively high. Considering the uncertain fluctuation of the PV output and the load power, a robust optimal allocation of decentralized reactive power compensation (RPC) devices model for a three-phase four-wire LVDN is proposed. In this model, the uncertain variables are described as box uncertain sets, the three-phase simultaneous switching capacity and single-phase independent switching capacity of the RPC devices are taken as decision variables, and the objective is to minimize the total power loss of the LVDN under the extreme scenarios of uncertain variables. The bi-level optimization method is used to transform the robust optimization model with uncertain variables into bi-level deterministic optimization models, which could be solved alternately. The nonlinear programming solver IPOPT in the mature commercial software GAMS is adopted to solve the upper and lower deterministic optimization models to obtain a robust optimal allocation scheme of decentralized RPC devices. Finally, the simulation results for an actual LVDN show that the obtained decentralized RPC scheme can ensure that the voltage deviation and the VUF of each bus satisfied the secure operation requirement no matter how the PV output and load power changed within their own uncertain sets, and the network loss could be effectively reduced.

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“…Considering the maximum and minimum limit scenarios of new energy output, a two-stage scheduling model based on the limit scenario set is proposed [3]. Furthermore, Qiu et al proposed a two-stage robust scheduling model for AC/DC hybrid microgrids [4].…”

Section: Literature Surveymentioning

confidence: 99%

Decentralized and Collaborative Scheduling Approach for Active Distribution Network with Multiple Virtual Power Plants

Zhao

Guo

2018

Energies

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In order to build an active distribution system with multi virtual power plants (VPP), a decentralized two-stage stochastic dispatching model based on synchronous alternating direction multiplier method (SADMM) was proposed in this paper. Through the integration of distributed energy and large-scale electric vehicles (EV) in the distribution network by VPP group, coordinative complementarity, and global optimization were realized. On the premise of energy autonomy management of active distribution network (AND) and VPP, after ensuring the privacy of stakeholders, the power of tie-line was taken as decoupling variable based on SADMM. Furthermore, without the participation of central coordinators, the optimization models of VPPs and distribution networks were decoupled to achieve fully decentralized optimization. Aiming at minimizing their own operating costs, the VPPs aggregate distributed energy and large-scale EVs within their jurisdiction to interact with the upper distribution network. On the premise of keeping operation safe, the upper distribution network formulated the energy interaction plan with each VPP, and then, the global energy optimization management of the entire distribution system and the decentralized autonomy of each VPP were achieved. In order to improve the stochastic uncertainty of distributed renewable energy output, a two-stage stochastic optimization method including pre-scheduling stage and rescheduling stage was adopted. The pre-scheduling stage was used to arrange charging and discharging plans of EV agents and output plans of micro gas turbines. The rescheduling stage was used to adjust the spare resources of micro gas turbines to deal with the uncertainty of distributed wind and light. An example of active distribution system with multi-VPPs was constructed by using the improved IEEE 33-bus system, then the validity of the model was verified.

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Bi-Level Two-Stage Robust Optimal Scheduling for AC/DC Hybrid Multi-Microgrids

Cited by 135 publications

References 34 publications

A Distributed Control Scheme of Microgrids in Energy Internet Paradigm and Its Multisite Implementation

A Distributed Control Scheme of Microgrids in Energy Internet Paradigm and Its Multisite Implementation

Robust Optimal Allocation of Decentralized Reactive Power Compensation in Three-Phase Four-Wire Low-Voltage Distribution Networks Considering the Uncertainty of Photovoltaic Generation

Decentralized and Collaborative Scheduling Approach for Active Distribution Network with Multiple Virtual Power Plants

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