Energy Management Optimization of Microgrid Cluster Based on Multi-Agent-System and Hierarchical Stackelberg Game Theory

Dong, Xin Fei; Li, Xian-shan; Cheng, Sijing

doi:10.1109/access.2020.3037676

Cited by 68 publications

(29 citation statements)

References 33 publications

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“…The authors have suggested performance improvements for HVAC systems [17]. Recent studies show the application of cluster-based optimization strategies at the MG level [18], [19]. Yet they fail to consider consumer's preferences at appliance level.…”

Section: Introductionmentioning

confidence: 99%

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Abbasi

Sultan²,

Aziz

et al. 2021

IEEE Access

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Power scheduling of domestic appliances is a vital preference for bridging the gap between demand and generation of electricity in a microgrid. For a stable microgrid, an acceptable mechanism must reduce the peak to average ratio (PAR) of power demand with supplementary benefits for consumers as reduced electricity charges. Recent studies have focused on PAR and cost reduction for a small consumer population. Furthermore, researchers have mainly considered homogeneous consumer loads. This study focuses on residential power scheduling for electricity cost reduction for consumers and load profile PAR curtailment for a relatively large consumer population with non-homogeneous loads. A sample population of 1000 consumers from various classes of society is considered. The proposed dynamic clustered community home energy management system (DCCHEMS) allows the clustering of appliances based on time overlap criteria. Comparatively flatter power demand is attained by utilizing the clustered appliances in conjunction with particle swarm optimization under the influence of user-defined constraints. Modified inclined block rates with real-time electricity pricing strategies are deployed to minimize the electricity costs. DCCHEMS achieved higher efficiency rates in contrast to the traditional non-clustering and static clustering optimization schemes. An improvement of 21% in peak to average ratio, 4% in cost reduction, and 19% in variance to mean ratio is obtained.

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Section: Introductionmentioning

confidence: 99%

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Abbasi

Sultan²,

Aziz

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…A Stackelberg game-based optimization model is proposed for an integrated energy system to obtain the optimal scheduling solution, considering both integrated demand response programs and uncertain renewable generations [16]. A multi-agent interaction operation model including energy suppliers, energy storage suppliers and user agents is proposed using a Stackelberg game [17]. In [15][16][17], non-cooperative theoretical approaches usually ignore the potential cooperation among the participants in a multi-energy system or an integrated energy system.…”

Section: Introductionmentioning

confidence: 99%

“…A multi-agent interaction operation model including energy suppliers, energy storage suppliers and user agents is proposed using a Stackelberg game [17]. In [15][16][17], non-cooperative theoretical approaches usually ignore the potential cooperation among the participants in a multi-energy system or an integrated energy system. Moreover, the non-cooperative game mainly emphasizes individual rationality and self-interested decision-making process, and the Nash equilibrium may not exist.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Operation Framework for a Wind-Solar-CCHP Multi-Energy System Based on Nash Bargaining Solution

et al. 2021

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A multi-energy system can supply both electric and thermal energy simultaneously to the end-users to achieve a high energy use-efficiency. However conventional operational strategies for multienergy systems, in the existing works, do not consider renewable energy generation plants and CCHP plants as belonging to different interests. To cope with this problem, this article studies a cooperative operation framework model for a Wind-Solar-CCHP Multi-energy system. Instead of the conventional noncooperative solution-based method, the optimal operation scheduling problem of a multi-energy system is described as an optimization problem of Nash Bargaining. Then the optimization problem of Nash Bargaining for the multi-energy system decomposed into two subproblems: social welfare maximization problem (P1) and energy trading payment problem (P2). The optimal energy transaction profiles can be obtained by solving the P1 problem and the problem of payment of energy trading between PV, WT plant agents and the CCHP plant agent can be obtained by solving the P2 problem. Both problems P1 and P2 can be formulated into mixed-integer linear programming problems and solved by the alternating directional multiplier method. Numerical studies demonstrate the correctness and effectiveness of the proposed cooperative operation framework and distributed algorithm for solving the two subproblems. Moreover, the bargaining-based cooperative operation method can further induce the multi-energy system to improve the operating profit with the reduced feed-in tariff of distributed generation.

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“…There are many types of storage systems which can be used in accordance with the scale of microgrid and operation response such as pumped hydropower storage, compressed air energy storage (CAES), flywheel, electrochemical batteries (lead-acid, NaS, Liion and Ni-Cd), flow batteries (vanadium -redox), superconducting magnetic energy storage, super capacitors, and hydro energy storage (power gas technologies) [10]. • Power conversion due to the fast development of semiconductor materials and decreasing of its cost with increasing its efficiency, power conversion has encountered rapid development [11]. • Power quality and integration with the grid: microgrid can improve power quality of the loads especially commercial industrial loads and maximize the profit of these loads [12].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Solar Pv Microgrid: A Case Study of Palestine

Zaro

Kiriakos

2021

International Journal of Engineering and Innovative Research

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Microgrid is a power subsystem consist of small generators, storages and local loads. The attention to renewable resources and local generation is increasing for three important reasons: economics benefits, environmental matters and limits of fossil fuels. However, development of renewable resources in electrical power systems has been grown rapidly. Microgrid has the ability to support high power quality and sustainability with elimination of load shedding. This paper presents design and implementation of a real microgrid as per the recommended microgrid topology and dispatch methodology real Photovoltaic (PV) station with a local load using real data collected using different monitoring systems, the suggested microgrid is implemented and tested using MATLAB simulation tool, assuring power quality and sustainability, electrical and financial results are reported supporting this design. This study showed that implementing this sort of project can provide clean, economical, and continuous electricity production in countries with daily blackouts.

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Energy Management Optimization of Microgrid Cluster Based on Multi-Agent-System and Hierarchical Stackelberg Game Theory

Cited by 68 publications

References 33 publications

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

A Novel Dynamic Appliance Clustering Scheme in a Community Home Energy Management System for Improved Stability and Resiliency of Microgrids

Cooperative Operation Framework for a Wind-Solar-CCHP Multi-Energy System Based on Nash Bargaining Solution

Design and Implementation of a Solar Pv Microgrid: A Case Study of Palestine

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