Abstract
Conventional power generation and transportation sectors have a substantial share in the greenhouse gas (GHG) emissions which are hampering sustainability in the restructured electric grid. In this respect deployment of modern electric vehicle (MEV) and renewable energy sources (RES) hold the key for attaining the goal of sustainability. In this paper an attempt is made focusing on intelligent scheduling of conventional thermal units in conjunction with MEVs and RES under different scenarios. A tradeoff solution between emissions and cost which are mutually exclusive entities in the frame of sustainability is presented. A quantum binary particle swarm optimization technique (QBPSO) is used for solving dual-objective function including both cost and emissions and it is found from the results that integral approach of scheduling thermal units along with both MEV and RES provides better optimality for dual objective function of smart grid model decarbonisation economically.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 6th IEEE Power India International Conference, PIICON 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479960415 |
| DOIs | |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 6th IEEE Power India International Conference, PIICON 2014 - Delhi, New Delhi, India Duration: 5 Dec 2014 → 7 Dec 2014 |
Publication series
| Name | Proceedings of 6th IEEE Power India International Conference, PIICON 2014 |
|---|
Conference
| Conference | 6th IEEE Power India International Conference, PIICON 2014 |
|---|---|
| Country/Territory | India |
| City | Delhi, New Delhi |
| Period | 5/12/14 → 7/12/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- dual-objective function
- Load Leveling
- Modern Electric Vehicle
- Photovoltaic generator
- Quantum inspired Binary PSO and Smart grid
- Unit commitment
- Wing energy
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
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