Abstract
Nowadays, there is a global need for energy management to reduce cost, planet damage and dependence on fossil fuels to save energy. In this paper, we suggest an efficient Energy Management System (EMS) with an emphasis on Demand Response (DR), the planning of generation units in the grid and exchanges between the grid and the upstream network, with the aim of reducing the Market Clearing Price (MCP), Emission Reduction (ER) and consequently reductions of Tax on Carbon (ToC). In the proposed problem, technical and economic constraints include any producer/consumer equipment, as well as the DR, ER, ToC, MCP and grid connection requirements to the main upstream network. To find the best possible solution, Particle Swarm Optimization (PSO) methodology is applied. The obtained results showed a noticeable decrease in MCP and ER by 37% and 55%, respectively.
| Original language | British English |
|---|---|
| Title of host publication | 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 554-559 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728166117 |
| DOIs | |
| State | Published - 15 Sep 2020 |
| Event | 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 - Bangkok, Thailand Duration: 15 Sep 2020 → 18 Sep 2020 |
Publication series
| Name | 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 |
|---|
Conference
| Conference | 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 15/09/20 → 18/09/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Demand Respond
- Emission Reduction
- Energy Management System
- Particle Swarm Optimization
- Tax on Carbon
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