Incremental cost consensus algorithm in a smart grid environment

Zhang, Ziang; Chow, Mo-Yuen

doi:10.1109/pes.2011.6039422

Cited by 119 publications

(95 citation statements)

References 9 publications

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“…Recently, distributed algorithm is widely applied in smart grid related problems [17][18][19][20][21][22][23][24], due to its advantage of robustness, scalability, and less information requirement. In [17], distributed secondary voltage and frequency restoration control of droop-controlled inverter-based islanded MG are addressed.…”

Section: Research Articlementioning

confidence: 99%

“…Zhang and Chow proposed a two-level increment cost consensus algorithm in [24]; however, it requires leaders to be able to access the global generation and load information. Compared with [22][23][24], each DG can fulfil the optimal problem directly and efficiently in our proposed work, as it does not need to know all the other DGs parameters. In [13], distributed dynamic programming-based algorithm is applied for ED in smart grids; however, the total load demand must be discovered first by a consensus-based algorithm, and the minimum generation adjustment needs to be well defined.…”

Section: Research Articlementioning

confidence: 99%

“…Without loss of generality, define the DG who can communicate with the main grid as DG 1 . Thus, during grid-connected mode, Algorithm (11) can be initialised according to (22) in terms of initial power references. l i (0) and e i (0) are initialised in the same way as that shown in (21).…”

Section: Grid-connected Mg Casementioning

confidence: 99%

“…, for the other DGs (22) where P c is the assigned total active power value of an MG by the main grid.…”

Section: Grid-connected Mg Casementioning

confidence: 99%

“…Though the proposed EAGC algorithm needs local communication with its neighbouring agents such as all the other distributed algorithms reported in the literature [18][19][20][21][22], it has many advantages against a centralised control especially when the size of the system is large. For a centralised control, the centralised controller needs to communicate with all the subsystems to acquire the global information, while for the proposed distributed EAGC algorithm, each DG agent only needs to communicate with its neighbouring agents.…”

Section: Control Implementation For Eagcmentioning

confidence: 99%

See 4 more Smart Citations

Agent‐based distributed and economic automatic generation control for droop‐controlled AC microgrids

Zang

Zeng

et al. 2016

IET Generation, Transmission & Distribution

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Microgrids (MGs) are presented as a cornerstone of smart grid, which can integrate renewable energy sources environmentally, friendly, and reliably. Hierarchical control strategies, i.e. primary droop control, second automatic generation control (AGC), and tertiary economic dispatch (ED), are widely used to control and optimise an MG. However, the gap between large time-scale ED and small time-scale AGC may decrease the economical efficiency of an MG. To address this problem, this study proposes a distributed economic AGC (EAGC) algorithm. The algorithm is fully distributed, as each distributed generator is assigned with an agent and the agents only require the local measurements and communication with its neighbours. Compared with centralised algorithms, the distributed control algorithm is easy to fulfil the plug-and-play requirements and reduces costs to modify the architecture of an MG. Furthermore, the proposed EAGC algorithm is suitable for all possible operation modes of an MG, i.e. islanded mode, grid-connected mode, and transition mode. To improve the robustness against agent loss or communication link fault, the topology of agents' communication network is designed to satisfy the N − 1 rule. The effectiveness of the proposed algorithm is demonstrated through the simulation tests which involve plenty of case studies.

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Section: Research Articlementioning

confidence: 99%

Section: Research Articlementioning

confidence: 99%

Section: Grid-connected Mg Casementioning

confidence: 99%

“…, for the other DGs (22) where P c is the assigned total active power value of an MG by the main grid.…”

Section: Grid-connected Mg Casementioning

confidence: 99%

Section: Control Implementation For Eagcmentioning

confidence: 99%

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Agent‐based distributed and economic automatic generation control for droop‐controlled AC microgrids

Zang

Zeng

et al. 2016

IET Generation, Transmission & Distribution

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Consensus‐based distributed approach to lossy economic power dispatch of distributed energy resources

Xing

Zeng

Mou

et al. 2019

Int Trans Electr Energ Syst

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Summary Economic dispatch problem (EDP) of distributed energy resources (DERs) is the key to achieve balanced coordination and economic operation of renewable energy and conventional generation, which is of vital significance to smart grids. This paper mainly investigates the EDP of DERs with transmission losses. We formulate the lossy EDP as an optimization problem, of which the objective is to minimize the aggregated production cost under physical constraints. It is a great challenge to solve the lossy EDP in a distributed fashion, as the nonconvexity of the transmission loss formula has posed extra difficulties. This paper proposes a consensus‐based distributed lambda iteration algorithm to solve the lossy EDP, and a damping mechanism is designed to overcome the oscillatory problem that conventional lambda iterations often suffer. The proposed algorithm is further improved, in order to tackle the prohibited operating zones of generators. Exhaustive simulations are presented to illustrate the proposed algorithm.

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The Influence of Time Delays on Decentralized Economic Dispatch by Using Incremental Cost Consensus Algorithm

Zhang

Chow

2011

Control and Optimization Methods for Electric Smart Grids

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Incremental cost consensus algorithm in a smart grid environment

Cited by 119 publications

References 9 publications

Agent‐based distributed and economic automatic generation control for droop‐controlled AC microgrids

Agent‐based distributed and economic automatic generation control for droop‐controlled AC microgrids

Consensus‐based distributed approach to lossy economic power dispatch of distributed energy resources

The Influence of Time Delays on Decentralized Economic Dispatch by Using Incremental Cost Consensus Algorithm

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