Unifying Distributed Dynamic Optimization and Control of Islanded DC Microgrids

Moayedi, Seyedali; Davoudi, Ali

doi:10.1109/tpel.2016.2565517

Cited by 87 publications

(55 citation statements)

References 72 publications

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“…According to (13), the real-time computation of a descent direction requires in general a centralized processing of all the performance outputs y and all the set-points u. This reduces scalability of the approach when many microgenerators are connected to the same grid, and a natural question is whether the proposed feedback optimization law can be computed in a distributed manner.…”

Section: F Distributed Implementationmentioning

confidence: 99%

“…In particular, we focus here on the following topics: decentralized control of power converters in lowinertia power systems, real-time control of distribution grids, optimal and distributed frequency control of transmission grids, and coordination of energy supply and demand. There is a broad range of challenging control and optimization problems in future power system that are not (or only tangentially) discussed in this article including the following: wide-area control -a continental-scale distributed control for power system oscillation damping -is discussed in the recent surveys [2]- [4]; novel algorithmic and distributed approaches to optimal power flow (OPF) methods are discussed in the reviews [4]- [7]; DC technologies become ever more prevalent in HVDC grids [8]- [10] and in DC microgrids [11]- [13]; and finally there is a rich emerging literature on distributed and hierarchical control in microgrids [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Control and Optimization for Autonomous Power Grids

Dörfler

Bolognani

Simpson-Porco

et al. 2019

2019 18th European Control Conference (ECC)

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Section: F Distributed Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Control and Optimization for Autonomous Power Grids

Dörfler

Bolognani

Simpson-Porco

et al. 2019

2019 18th European Control Conference (ECC)

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“…The power coordination and voltage optimization happen parallelly, thus fulfilling the generation-demand gap. Grass-hopper optimization algorithm is implemented in [21] for optimizing parameters of a load frequency controller. The Table 1 shows the various optimization methods employed to meet various power quality issues.…”

Section: Power Quality Controlmentioning

confidence: 99%

Optimization Techniques for Operationand Control of Microgrids � Review

Ramprabhakar

2018

JGE

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Microgrid systems show great promise in integrating large numbers of distributed generation systems, based on renewable energy sources into future power systems. The characteristics of power generated by renewable energy sources is random, unregulated and highly unreliable, vowing to the stochastic nature of the sources like wind, solar etc. While integrating the locally generated power into grid sounds very attractive, there are many operational and planning concerns. Also, a major chunk of power generated is weather dependent, this makes an energy storage system and/or backup power generation system an imperative part of microgrids. A proper planning and designing is the first step towards integrated power. Optimization techniques justify cost of investment of a Microgrid by enabling economic and reliable usage of resources. This paper summarizes various optimization methodologies and criterion for optimization of Microgrids. Extensive study of published literature show that computational alternatives like evolutionary, heuristic and non-classical algorithms show better results when compared to other conventional methods. The study of multi-objective optimization problems shows superior performance by combining intelligent optimization algorithms with adaptive techniques.

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“…However, the dynamics of the converters in these literatures are neglected, and the practicability is not taken into account. For droop-based autonomous DC microgrid, the distributed method was also used for EDP solving [28,29]. In reference [28], the consensus method was utilized to generate the voltage correction term and reference current respectively to ensure the optimal operation for DC microgrid, while the average voltage was recovered at the same time.…”

Section: Introductionmentioning

confidence: 99%

“…However, the factors affecting flexible operation should be considered further, such as topology changing, plug and play, etc. Unlike [28], in [29], the voltage regulator and optimizer embedded with consensus algorithm were used to adjust the voltage set points to match the incremental costs and recover the average voltage. The power limits are considered and analyzed in detailed.…”

Section: Introductionmentioning

confidence: 99%

Distributed Economic Dispatch Scheme for Droop-Based Autonomous DC Microgrid

Dou

et al. 2020

Energies

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In this paper, a distributed economic dispatch scheme considering power limit is proposed to minimize the total active power generation cost in a droop-based autonomous direct current (DC) microgrid. The economical dispatch of the microgrid is realized through a fully distributed hierarchical control. In the tertiary level, an incremental cost consensus-based algorithm embedded into the economical regulator is utilized to search for the optimal solution. In the secondary level, the voltage regulator estimating the average voltage of the DC microgrid is used to generate the voltage correction item and eliminate the power and voltage oscillation caused by the deviation between different items. Then, the droop controller in the primary level receives the reference values from the upper level to ensure the output power converging to the optimum while recovering the average voltage of the system. Further, the dynamic model is established and the optimal communication network topology minimizing the impact of time delay on the voltage estimation is given in this paper. Finally, a low-voltage DC microgrid simulation platform containing different types of distributed generators is built, and the effectiveness of the proposed scheme and the performance of the optimal topology are verified.

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Unifying Distributed Dynamic Optimization and Control of Islanded DC Microgrids

Cited by 87 publications

References 72 publications

Distributed Control and Optimization for Autonomous Power Grids

Distributed Control and Optimization for Autonomous Power Grids

Optimization Techniques for Operationand Control of Microgrids � Review

Distributed Economic Dispatch Scheme for Droop-Based Autonomous DC Microgrid

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