Collaborative energy management in a micro-grid by multi-objective mathematical programming

•Introduction of the collaborative paradigm for energy management in micro-grids.•Formulation of a bi-Objective Mixed Integer Linear Programming model for it.•Employment of the Augmented ϵ-constraint approach to solve the problem.•Evaluation of the proposed method in comparison with the Weighted-Sum...

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Veröffentlicht in:Energy and buildings Jg. 203; S. 109432
Hauptverfasser: Pisacane, Ornella, Severini, Marco, Fagiani, Marco, Squartini, Stefano
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Lausanne Elsevier B.V 15.11.2019
Elsevier BV
Schlagworte:
Apartments
Collaboration
Electric power grids
Energy consumption
Energy management
Energy policy
Energy resources
Energy sources
Energy storage
Energy usage
Fossil fuels
Integer programming
Linear programming
Mathematical programming
Mixed integer
Multi-objective programming
Multiple objective analysis
Performance measurement
Smart grid
Task scheduling
Transactive energy
User requirements
Transactive energy
Multi-objective programming
Energy management
Smart grid
ISSN:0378-7788, 1872-6178
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Zusammenfassung:•Introduction of the collaborative paradigm for energy management in micro-grids.•Formulation of a bi-Objective Mixed Integer Linear Programming model for it.•Employment of the Augmented ϵ-constraint approach to solve the problem.•Evaluation of the proposed method in comparison with the Weighted-Sum technique.•Experiments prove the beneficial effects of collaborative energy management policies. In micro-grids, distributed energy generation based on renewable sources allows reducing the fossil fuel emissions. In order to manage the limited availability of renewable sources and to meet users’ requirements, a proper scheduling of both tasks and storage activities is needed. Moreover, the difficulty of storing energy on a large scale represents an opportunity for the micro-grid actors to collaborate for better balancing energy supply and demand. Collaboration may be achieved through the application of suitable energy management policies tackling the specific consumers’ needs. We address the Energy Management Problem in a micro-grid with collaboration among users. Specifically, a building is considered where each apartment can use both Shared and Local energy resources, the former managed by a Building Manager (BM). The problem is formulated through Bi-objective Mixed Integer Linear Programming, maximizing both the BM and the apartments’ profits and solved through the Augmented ϵ-Constraint approach. Numerical results, obtained on a set of realistic scenarios, are compared to those of the Weighted Sum method and evaluated according to proper performance metrics. The approach flexibility, in terms of selected management policies, is also discussed. Finally, the superiority of the collaborative paradigm versus the non-collaborative one is experimentally proven.
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ISSN:0378-7788
1872-6178
DOI:10.1016/j.enbuild.2019.109432