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Cooperative game theory approach for multi-objective home energy management with renewable energy integration
by
Sivasubramani, Shanmugavelu
, Lokeshgupta, Bhamidi
in
Algorithms
/ Alternative energy sources
/ Appliances
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ C1180 Optimisation techniques
/ Communication
/ compromise solution
/ consumer
/ Consumers
/ Controllability
/ Criteria
/ Demand side management
/ Economic analysis
/ Electric power
/ Electric power demand
/ Electricity
/ Electricity distribution
/ Energy consumption
/ Energy efficiency
/ Energy management
/ Energy resources
/ Energy shortages
/ Energy storage
/ game approach
/ game process
/ Game theory
/ game theory approach
/ HEM method
/ HEM objective
/ HEM problem
/ integer programming
/ Integers
/ Linear programming
/ mathematical model
/ mixed-integer problem
/ multiobjective home energy management scheme
/ multiobjective problem
/ nonlinear programming
/ Objectives
/ Pareto optimal solution concept
/ Pareto optimisation
/ Peak load
/ player
/ renewable energy integration
/ Renewable energy sources
/ Renewable resources
/ Research Article
/ Residential energy
/ residential load demand
/ Scheduling
/ small-scale renewable energy sources
/ Smart houses
/ Smart meters
/ super criterion
/ system peak demand
2019
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Cooperative game theory approach for multi-objective home energy management with renewable energy integration
by
Sivasubramani, Shanmugavelu
, Lokeshgupta, Bhamidi
in
Algorithms
/ Alternative energy sources
/ Appliances
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ C1180 Optimisation techniques
/ Communication
/ compromise solution
/ consumer
/ Consumers
/ Controllability
/ Criteria
/ Demand side management
/ Economic analysis
/ Electric power
/ Electric power demand
/ Electricity
/ Electricity distribution
/ Energy consumption
/ Energy efficiency
/ Energy management
/ Energy resources
/ Energy shortages
/ Energy storage
/ game approach
/ game process
/ Game theory
/ game theory approach
/ HEM method
/ HEM objective
/ HEM problem
/ integer programming
/ Integers
/ Linear programming
/ mathematical model
/ mixed-integer problem
/ multiobjective home energy management scheme
/ multiobjective problem
/ nonlinear programming
/ Objectives
/ Pareto optimal solution concept
/ Pareto optimisation
/ Peak load
/ player
/ renewable energy integration
/ Renewable energy sources
/ Renewable resources
/ Research Article
/ Residential energy
/ residential load demand
/ Scheduling
/ small-scale renewable energy sources
/ Smart houses
/ Smart meters
/ super criterion
/ system peak demand
2019
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Cooperative game theory approach for multi-objective home energy management with renewable energy integration
by
Sivasubramani, Shanmugavelu
, Lokeshgupta, Bhamidi
in
Algorithms
/ Alternative energy sources
/ Appliances
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ C1180 Optimisation techniques
/ Communication
/ compromise solution
/ consumer
/ Consumers
/ Controllability
/ Criteria
/ Demand side management
/ Economic analysis
/ Electric power
/ Electric power demand
/ Electricity
/ Electricity distribution
/ Energy consumption
/ Energy efficiency
/ Energy management
/ Energy resources
/ Energy shortages
/ Energy storage
/ game approach
/ game process
/ Game theory
/ game theory approach
/ HEM method
/ HEM objective
/ HEM problem
/ integer programming
/ Integers
/ Linear programming
/ mathematical model
/ mixed-integer problem
/ multiobjective home energy management scheme
/ multiobjective problem
/ nonlinear programming
/ Objectives
/ Pareto optimal solution concept
/ Pareto optimisation
/ Peak load
/ player
/ renewable energy integration
/ Renewable energy sources
/ Renewable resources
/ Research Article
/ Residential energy
/ residential load demand
/ Scheduling
/ small-scale renewable energy sources
/ Smart houses
/ Smart meters
/ super criterion
/ system peak demand
2019
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Cooperative game theory approach for multi-objective home energy management with renewable energy integration
Journal Article
Cooperative game theory approach for multi-objective home energy management with renewable energy integration
2019
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Overview
This study proposes a mathematical model of an intelligent multi-objective home energy management (HEM) scheme with the integration of small-scale renewable energy sources. The main aim of the proposed model is to handle the residential load demand in a smart way to minimise both the consumer's energy bill and the system peak demand simultaneously. To generate the best compromise solution of the proposed multi-objective problem, a cooperative game theory approach is used in this study on the basis of super-criterion and a Pareto optimal solution concept. In the cooperative game process, each HEM objective is assigned as a player and every player tries to maximise their own payoff. Bargaining model in the form of super criterion is considered in this game approach. Finally, all players can get win–win nature with collective negotiations. Generally, HEM method deals with various controllable devices having distinct operating characteristics. Because of this, the proposed HEM problem is modelled as a mixed-integer problem. Consequently, a mixed-integer non-linear programming is applied in this game process to maximise the super-criterion. To show the effectiveness of the proposed model, different case studies and various scenarios are carried out.
Publisher
The Institution of Engineering and Technology,John Wiley & Sons, Inc,Wiley
Subject
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ C1180 Optimisation techniques
/ consumer
/ Criteria
/ Integers
/ multiobjective home energy management scheme
/ Pareto optimal solution concept
/ player
/ renewable energy integration
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