Optimal Consensus-Based Distributed Control Strategy for Coordinated Operation of Networked Microgrids

Zhou, Quan; Tian, Zhen; Shahidehpour, Mohammad; Liu, Xuan; Alabdulwahab, Ahmed; Abusorrah, Abdullah

doi:10.1109/tpwrs.2019.2954582

Cited by 74 publications

(29 citation statements)

References 33 publications

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“…The district heating systems considering the thermal inertia of the commercial buildings was aggregated and provided flexibility for the power system [8]. In [9], [10], an innovative theoretical framework was established for tailoring distributed control to practical implementations of microgrid clusters, providing a creative perspective on distributed energy management, and featuring significantly enhanced efficiency, flexibility, reliability, and resilience. A DIMS can be regarded as a multienergy virtual power plant (MEVPP) to provide additional flexibility to the power system and gain profits simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Active Dynamic Aggregation Model for Distributed Integrated Energy System as Virtual Power Plant

Zhao

Wang

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Distributed integrated multi-energy systems (DIMSs) can be regarded as virtual power plants to provide additional flexibility to the power system. This paper proposes a robust active dynamic aggregation model for the DIMSs to describe the maximum feasible region. The aggregation model includes the power constraints, energy constraints, and ramping constraints to aggregate different types of resources in the DIMSs. The proposed generator-like and storage-like model does not depend on the ancillary service market and can be directly incorporated into the economic dispatch model of the power system. A novel algorithm based on the column-and-constraint generation algorithm and convex-concave procedure is proposed to solve the two-stage robust optimization problem, which is more efficient than the KKT-based algorithms. Finally, a case study of an actual DIMS is developed to demonstrate the effectiveness of the proposed model. Index Terms-Aggregation, distributed integrated energy system (DIMS), robust optimization, virtual power plant. NOMENCLATURE A. Sets and Parameters ϒ Ω ε CCP ε η EBi η ci η dci Set of economic dispatch periods Uncertainty set Convergence tolerance of the convex-concave procedure (CCP) Convergence tolerance of upper power value UB Efficiency of electric boiler i Charging and discharging efficiency of battery i c pmin t

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Section: Introductionmentioning

confidence: 99%

Active Dynamic Aggregation Model for Distributed Integrated Energy System as Virtual Power Plant

Zhao

Wang

et al. 2020

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

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“…To overcome the above drawbacks of centralised methods, in recent years, various distributed algorithms (see [12–26] and references therein) have been proposed to solve the EDP in a distributed manner. Unlike centralised methods, distributed strategies only require local information measurements and neighbouring information transmitting.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, distributed strategies have the advantage of the scalability and are more suitable for the realising of plug‐and‐play operation and microgrid expansion [27–29]. In related distributed strategies, consensus‐based algorithms are extensively studied for bulk power systems and islanded microgrids [12–21].…”

Section: Introductionmentioning

confidence: 99%

“…Hu et al [20] propose a distributed optimal dispatch algorithm based on leader–following consensus strategy, in which leader DGs are required. In [21], a two‐layer optimal consensus‐based distributed control strategy is proposed, in which each control layer is formulated as an optimal consensus problem.…”

Section: Introductionmentioning

confidence: 99%

“…Apart from the above distributed consensus‐based algorithms proposed in [12–21], some other distributed algorithms have been proposed to address the EDP, such as the distributed finite‐time algorithm [22], the distributed event‐triggered scheme [23], the ADMM‐based distributed algorithm [24], the gossip‐based distributed algorithm [25], and the privacy‐preserving distributed control strategy [26], etc.…”

Section: Introductionmentioning

confidence: 99%

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Droop‐based consensus control scheme for economic dispatch in islanded microgrids

Zheng

Liao

Yang

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IET Generation, Transmission & Distribution

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Optimal energy management of residential battery storage under uncertainty

Zhou

Feng

et al. 2021

Int Trans Electr Energ Syst

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Summary Backgroud The uncertainty associated with renewable generation and loads imposes various challenges for the economic operation of microgrids. On the residential side, energy storage systems are implemented with high expectations to enhance photovoltaic power consumption and electricity price arbitrage. Aims This paper proposes an expectation‐oriented stochastic model for optimal energy management of household batteries to cope with the uncertain electricity generation and consumption. Materials & Methods The exact cost expectation of daily operation is formulated as an alternative to the conventional scenario‐based average approximation. A predictive control‐based battery scheduling mechanism is developed further to apply the proposed model to intraday energy storage management. Results Simulation results validate the convexity of the proposed model. Discussion Although nonlinear in nature, the resultant optimization problem is proven to be convex, which ensures computable global optimal solutions for the proposed model. Conclusion Simulation results demonstrate the effectiveness of the proposed scheduling strategy compared with existing methods.

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Optimal Consensus-Based Distributed Control Strategy for Coordinated Operation of Networked Microgrids

Cited by 74 publications

References 33 publications

Active Dynamic Aggregation Model for Distributed Integrated Energy System as Virtual Power Plant

Active Dynamic Aggregation Model for Distributed Integrated Energy System as Virtual Power Plant

Droop‐based consensus control scheme for economic dispatch in islanded microgrids

Optimal energy management of residential battery storage under uncertainty

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