2014 Smart Grid Conference (SGC) 2014
DOI: 10.1109/sgc.2014.7090870
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Multi-objective energy management of CHP-based microgrid considering demand response programs

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Cited by 15 publications
(8 citation statements)
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“…Through demand response, the electricity and heat demands of the customers can be met with the lowest cost, and the response load can be transferred between different time periods without curtailing load. Aiming at minimizing the costs and emissions, a multi-objective optimal energy management model is proposed in [67]. The electricity and heat demands in the microgrids are efficiently satisfied by coordinating various types of energy resources.…”
Section: Integrated Electricity and Heat Systemsmentioning
confidence: 99%
“…Through demand response, the electricity and heat demands of the customers can be met with the lowest cost, and the response load can be transferred between different time periods without curtailing load. Aiming at minimizing the costs and emissions, a multi-objective optimal energy management model is proposed in [67]. The electricity and heat demands in the microgrids are efficiently satisfied by coordinating various types of energy resources.…”
Section: Integrated Electricity and Heat Systemsmentioning
confidence: 99%
“…where β is the weight between (4) and (5) to reflect the relationship between electricity output error and response time. If electricity out error is more important, β should be between 0 and 0.5.…”
Section: Objective Functionmentioning
confidence: 99%
“…Reference [3] extensively studies the demand response capability of CHP and quantifies the potential energy cost savings. Reference [4,5] propose multi-objective models for optimal energy management of grid-connected CHP systems respectively, in which Reference [4] considers real-time prices through prediction models, while Reference [5] is more concerned with carbon emissions. The economic efficiency of CHP systems can be further improved because of the value of heat storage units for improving highly renewable generation-dominated power systems [6,7].…”
Section: Introductionmentioning
confidence: 99%
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“…By incorporating the building stock thermal behaviour as equivalent energy storage, a model is established in [17] for the quantification of the flexibility offered by the thermal storage of building stock equipped with heat pumps, to power systems with high penetration level of wind power. Gitizadeh et al [18] propose a multi‐objective model for optimal energy management of CHP‐based MG with the goal of cost and emission minimisation. The price‐based DR program is also implemented to serve the demand for power and heat.…”
Section: Introductionmentioning
confidence: 99%