Consensus-Based Energy Management in Smart Grid With Transmission Losses and Directed Communication

Zhao, Chengcheng; He, Jianping; Cheng, Peng; Chen, Jiming

doi:10.1109/tsg.2015.2513772

Cited by 237 publications

(165 citation statements)

References 32 publications

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“…As indicated in [21]- [23], the electricity price is an effective method of energy management for the participants in a microgrid to adjust their electricity consumption behaviors in a cost-effective way. In this paper, we adjust the ToU pricing, ρ(t), as a variable to coordinate BESSs to discover the maximum efficient point of the operation.…”

Section: Distributed Energy Management Of Battery Energy Storagementioning

confidence: 99%

Cooperative Optimal Control of Battery Energy Storage System Under Wind Uncertainties in a Microgrid

Zhao

Ding

2018

IEEE Trans. Power Syst.

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Abstract-Since high penetration renewable sources are integrated into the future power system, energy storage systems are often installed to maintain the frequency stability in a microgrid. The operation mode of a microgrid may frequently change due to the intermittency of renewable sources, and energy storage systems will be charged/discharged accordingly to smooth and balance the generation of renewable sources. Thus, energy storage systems should be coordinated in a proper approach to ensure the supply-demand balance while increasing their profits and energy efficiency. To this end, a distributed optimal solution for energy storage systems to maintain the supplydemand balance while maximizing their welfare and energy efficiency is proposed to energy storage systems by enhancing the coordination through the communication under a multiagent system framework. Under this framework, each energy storage system is designated as an agent, and it only utilizes the local information to interact with the neighbouring agents. Additionally, since the participants in microgrid may not be willing to release their information about cost functions, or even the local gradient with other neighbouring agents, the proposed solution could be implemented without these private information to the individual agents. The simulation studies are carried out for IEEE 14-bus and 30-BESS systems to validate the effectiveness of the proposed distributed solution.

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Section: Distributed Energy Management Of Battery Energy Storagementioning

confidence: 99%

Cooperative Optimal Control of Battery Energy Storage System Under Wind Uncertainties in a Microgrid

Zhao

Ding

2018

IEEE Trans. Power Syst.

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“…By comparing eqs. (2) and (3), it is evident that SE depends on the assumed coupling transfer function while significant differences between measured and theoretical coupling transfer functions entail differences between measured and theoretical SE.…”

Section: Measured and Theoretical Sementioning

confidence: 99%

Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks

Lazaropoulos¹

2018

Tr Ren Energy

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This second paper assesses the performance of piecewise monotonic data approximations, such as L1PMA, L2WPMA and L2CXCV, against the measurement differences during the spectral efficiency (SE) calculations in overhead medium-voltage broadband over power lines (OV MV BPL) networks. In this case study paper, the performance of the aforementioned three already known piecewise monotonic data approximations, which are considered as countermeasure techniques against measurement differences, is here extended during the SE computations. The indicative BPL topologies of the first paper are again considered while the 3-30MHz frequency band of the BPL operation is assumed.

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“…In contrast, the scheme with directed information flow would have lower communication cost [26]. Since the of the smart grid is becoming highly scalable due to the integration of smart meters and controllable devices, the scalability of the distributed resource management will be strengthened by introducing the directed communication [27]. Additionally, in a microgrid, although the optimal dispatch problem can run according to the forecasting information, there may exist set-up errors/mismatches during the initialization process.…”

Section: Introductionmentioning

confidence: 99%

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

Zhao

Ding

2018

IEEE Trans. Sustain. Energy

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Abstract-This paper considers the optimal resource management problem for microgrids. Microgrids provide a promising approach to fulfil challenges of the integration of distributed renewable generations and energy storage systems. However, the resource management in a microgrid encounters the new difficulty, i.e. supply-demand imbalance, caused by the intermittence of renewable sources. Therefore, an optimal solution is proposed to the resource management by enhancing the communication and coordination under a multi-agent system framework. An agent is a participant, for instance, the distributed renewable generator/energy storage system of the microgrid. With this multi-agent system, the distributed optimal solution only utilizes the local information, and interacts with the neighbouring agents. Thus, single-node congestion is avoided since the requirement for a central control centre is eliminated, and it is robust against single-link/node failures. The analysis will show that the proposed solution can solve the resource management problem in an initialization-free manner. Additionally, the proposed strategy can maintain the supply-demand balance under a time-varying supply-demand deviation. The simulation studies are carried out for IEEE 14-bus and 162-bus power systems to validate the effectiveness of the proposed distributed solution.

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Consensus-Based Energy Management in Smart Grid With Transmission Losses and Directed Communication

Cited by 237 publications

References 32 publications

Cooperative Optimal Control of Battery Energy Storage System Under Wind Uncertainties in a Microgrid

Cooperative Optimal Control of Battery Energy Storage System Under Wind Uncertainties in a Microgrid

Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks

Distributed Agent Consensus-Based Optimal Resource Management for Microgrids

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