Distributed control scheme on cost optimisation under communication delays for DC microgrids

Han, Hua; Wang, Hao; Sun, Yao; Yang, Jian; Liu, Zhangjie

doi:10.1049/iet-gtd.2016.1716

Cited by 38 publications

(25 citation statements)

References 34 publications

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“…At t = 5 s, the system receives the instruction that the microgrid needed to connect to the main grid from an upper controller, and then the microgrid system enters the synchronizing mode. When the microgrid system meets the above three conditions in (33) and lasts at least 200 ms, the system can be connected to the grid. Figure 7a-e show the simulation results from the islanded mode to the grid-connected mode.…”

Section: Case 3: Simulation Results Of Seamless Handover From the Islmentioning

confidence: 99%

“…Because the distributed secondary control method proposed in this paper cancels the tertiary control and the MGCC, the load demand becomes difficult to calculate, and these loads are scattered on the microgrid. Inspired by the average voltage estimator [32,33], a load demand estimator based on distributed average consensus algorithm is presented in this paper. The details are as follows:…”

Section: Load Demand Estimatormentioning

confidence: 99%

See 1 more Smart Citation

A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid

Dong

Wang

et al. 2018

Energies

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This paper introduces a distributed secondary control algorithm for automatic generation control (AGC) and automatic voltage control (AVC), which aims at matching area generation to area load and minimizing the total generation cost in an alternating current (AC) microgrids. Firstly, the control algorithm utilizes a continuous-time distributed algorithm to generate additional control variables to achieve frequency-voltage recovery for all distributed generators (DGs). Secondary, it solves the economic dispatch problem (EDP) by a distributed economic incremental algorithm in the secondary control level, which avoids the problem caused by communication speed inconsistency between secondary and tertiary control levels. This study also utilizes a fully distributed strategy based on secondary communication network to estimate the total load demand. In addition, the proposed algorithm can be used to realize a seamless handover from the islanded mode to the grid-connected mode, run under the condition of short time communication system out of action, and help to realize the plug and play function. Lastly, the stability of the proposed control algorithm is analyzed and proved, and the effectiveness of the method is verified in some case studies.

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Section: Case 3: Simulation Results Of Seamless Handover From the Islmentioning

confidence: 99%

Section: Load Demand Estimatormentioning

confidence: 99%

A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid

Dong

Wang

et al. 2018

Energies

Self Cite

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“…The resonant capacitor Cp and Cs, which match the coil inductances Lp and Ls at the operating frequency 0 ω according to (7), are applied both on the primary and secondary side. The inverter is operated under the control of phase shift modulation scheme [22].…”

Section: A Control Strategy Of the Wpt Systemmentioning

confidence: 99%

“…To stabilize the voltage or power of dc loads, many methods have been used [6]- [7]. With the characteristics of fast response and high power density, the supercapacitor is regarded as an effective method to mitigate high frequency variations of loads and sources [8].…”

Section: Introductionmentioning

confidence: 99%

A novel DCES based voltage control stragety for critical load supplied by wireless power

Mao

Han

Sun

et al. 2017

2017 Chinese Automation Congress (CAC)

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“…By far, several pioneering research works have been carried out to reduce the operating cost of various DC microgrids [15][16][17][18][19][20]. In [15], cost-based dynamic droop gradients are included in the control scheme for distributed generators to produce more power from less costly generators.…”

Section: Introductionmentioning

confidence: 99%

Operating Cost Reduction of DC Microgrids Under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

Qian

Yang

et al. 2020

IEEE Access

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Virtual resistance-based droop control is widely adopted as secondary-layer control for gridconnected converters in DC microgrids. This paper presents an alternative usage of the virtual resistances to minimize the total operating cost of DC microgrids under real-time pricing. The total operating cost covers the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and power loss on the distribution lines. An adaptive Differential Evolution (ADE) algorithm is adopted in this paper to optimize the virtual resistances of the droop control for the grid-connected converters of dispatchable units, such that the power flow can be regulated. The performances of the proposed strategy are evaluated by the case studies of a 12-bus 380 V DC microgrid using Matlab and a 32-bus 380 V DC microgrid using a Real-Time Digital Simulator (RTDS). Both results validate that the ADE can significantly reduce the operating cost of DC microgrids and outperform the conventional Genetic Algorithm (GA) in terms of cost saving. Comparisons among the microgrids with different numbers of dispatchable units reveal that the cost saving is more prominent when the expansion of dispatchable units.

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Distributed control scheme on cost optimisation under communication delays for DC microgrids

Cited by 38 publications

References 34 publications

A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid

A Distributed Secondary Control Algorithm for Automatic Generation Control Considering EDP and Automatic Voltage Control in an AC Microgrid

A novel DCES based voltage control stragety for critical load supplied by wireless power

Operating Cost Reduction of DC Microgrids Under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

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