Abstract
This work analyses capability of energy storage system (ESS) and demand response (DR) to maximize the hosting capacity (HC) of solar photovoltaic (PV) in distribution network. The optimization model aims to maximize total capacity of PV that can be installed in the distribution system. Three different cases are framed and impact of proposed approach on technical parameters of distribution system such as energy losses, voltage phenomenon and grid peak demand are discussed. In addition, a sensitivity analysis to investigate impact of changing DR participation rate, energy, and power rating of ESS on HC is presented. The effectiveness of ESS and DR in improving HC is simulated on IEEE-33 bus system. Results indicate that jointly coordinating ESS and DR gives higher HC as compared to scheduling ESS or DR alone.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350384246 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024 - Dehradun, India Duration: 26-04-2024 → 27-04-2024 |
Publication series
| Name | Proceedings - 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024 |
|---|
Conference
| Conference | 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024 |
|---|---|
| Country/Territory | India |
| City | Dehradun |
| Period | 26-04-24 → 27-04-24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Mechanical Engineering
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