Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids

Hui, Hon Tat; Chen, Yulin; Yang, Shaohua; Zhang, Hongcai; Jiang, Tao

doi:10.1016/j.apenergy.2022.120116

Cited by 45 publications

(14 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Al [24]. Although other linear equations have been presented in the literature, e.g., [21], [23], [25], [32], [33], [34], they are variations of these two basic models. Below, the consensus frequency and voltage controllers of Bidram [22] and Simpson [24] are presented, in two different sub-sections.…”

Section: Consensus Controlmentioning

confidence: 99%

See 1 more Smart Citation

Modelling the Steady-State of Secondary Control in Islanded AC Microgrids

Pompodakis¹,

Karapidakis²,

Tinajero³

2023

Preprint

View full text Add to dashboard Cite

<p>The secondary control is applied in islanded Microgrids (MGs), after the primary control, in order to restore the buses voltage and frequency to specified values. The existing power flow methods can accurately calculate the power flow for droop-controlled islanded MGs, but in many cases, they cannot calculate the steady-state solution of the MG after the action of secondary controllers. The main challenge in the steady-state modelling of the secondary layer lies in that the secondary controllers consist of integral parts, which can integrate functions with different integral histories, and therefore, under certain circumstances, can imply inaccurate power sharing between the distributed generation units (DGs). This phenomenon is most pronounced under communication failures, as will be shown in the simulations. In this way, this paper proposes a power flow method for calculating, accurately, the steady-state solution of hierarchically controlled islanded AC MGs, including droop-based primary control and secondary control. The paper includes four main features: a) generalized implementation in several communication strategies e.g., centralized, decentralized, consensus, distributed averaging, b) precise simulation of communication links and integral parts of secondary controllers, c) low computation time, and d) accurate 4-wire network representation. Simulations were executed to validate the proposed method against Simulink and to highlight the importance of an accurate modelling of secondary control in the power flow method for islanded MGs</p>

show abstract

Section: Consensus Controlmentioning

confidence: 99%

“…Finally, (36) is derived from (35), in a similar sense as (32), where 𝒅𝑽 and 𝒅𝑸 𝑮 are the required variation of voltage and reactive power of DGs so that both (35) and power flow equations are fulfilled.…”

Section: Calculation Of Dg Reactive Powermentioning

confidence: 99%

Modelling the Steady-State of Secondary Control in Islanded AC Microgrids

Pompodakis¹,

Karapidakis²,

Tinajero³

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…For protection 1, due to the shunt effect of distributed generation, the short-circuit current flowing through protection 1 is reduced, which may lead to the failure of the time-limited current quick-break protection of protection 1 when it is used as the backup protection of the lower line. (3) When a fault occurs on a line that does not contain a distributed power source, for example, between the line FG, the short-circuit current will flow through the protections 5 and 6, which may cause the protection to malfunction, and the line AF in normal operation at this time will cause power failure [7] .…”

Section: Access To Distributed Power Supply In the Middle Of 10kv Pow...mentioning

confidence: 99%

Analysis of the impact of inverter distributed generation on 10kV power grid relay protection

Guo

Zhu

Sun

et al. 2023

Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023)

View full text Add to dashboard Cite

Different types of distributed generation have different grid-connected modes, control links and basic models, and each type has different effects on 10kV power grid, so corresponding models should be established to analyse it. This paper focuses on the research of inverter-based distributed generation, and analyses the impact of different capacity, installation position and fault location on the protection device.

show abstract

“…The contributions of this paper lie in the following: The model adds energy storage and interruptible load to simulate the increasingly complex electricity consumption scenarios. It also considers the satisfaction level of electricity consumption on the user side 32 Based on the Wasserstein metric, an ambiguity set is established to reflect the probabilistic distribution of wind power uncertainty. An ambiguity set preprocessing method is proposed to portray the ambiguity set's probability distribution more clearly. …”

Section: Introductionmentioning

confidence: 99%

“…It also considers the satisfaction level of electricity consumption on the user side. 32 2. Based on the Wasserstein metric, an ambiguity set is established to reflect the probabilistic distribution of wind power uncertainty.…”

mentioning

confidence: 99%

Wasserstein‐metric‐based distributionally robust optimization method for unit commitment considering wind turbine uncertainty

Yan

Chen

et al. 2023

Engineering Reports

Self Cite

View full text Add to dashboard Cite

The penetration of wind turbines in the power grid is increasing rapidly. Still, the wind turbine output power has uncertainty, leading to poor grid reliability, affecting the grid's dispatching plan, and increasing the total cost. Thus, a distributionally robust optimization method for thermal power unit commitment considering the uncertainty of wind power is proposed. For this method, energy storage and interruptible load are added to simulate increasingly complex electricity consumption scenarios. Furthermore, the amount of load cutting reflects the satisfaction level of electricity consumption on the user side. Based on Wasserstein metric, an ambiguity set is established to reflect the probabilistic distribution information of the wind power uncertainty. An ambiguity set preprocessing method is proposed to depict the probability distribution of ambiguity set more clearly, to minimize the operation cost under the condition that the uncertainty of wind turbine output power obeys the extreme probabilistic distribution of the ambiguity set. The test case in a modified version of the IEEE 6‐bus system shows that the proposed method can flexibly adjust the robustness and economy of optimization decisions by controlling the sample size and the confidence of Wasserstein ambiguity set radius. In addition, the proposed ambiguity set preprocessing method can obtain more economical dispatching decisions with a smaller sample size.

show abstract

Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids

Cited by 45 publications

References 44 publications

Modelling the Steady-State of Secondary Control in Islanded AC Microgrids

Modelling the Steady-State of Secondary Control in Islanded AC Microgrids

Analysis of the impact of inverter distributed generation on 10kV power grid relay protection

Wasserstein‐metric‐based distributionally robust optimization method for unit commitment considering wind turbine uncertainty

Contact Info

Product

Resources

About