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Impact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning
| Content Provider | Directory of Open Access Journals (DOAJ) |
|---|---|
| Author | S. Ghaderi H. Shayeghi Y. Hashemi |
| Abstract | In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new issues of smart networks like as demand response. Demand response program can change the network expansion planning by shifting elasticity loads and reducing of peak load to improve conditions and decrease the costs. To combine demand response model into the transmission expansion planning and reactive power planning, nonlinear mixed integer meta-heuristic optimization algorithm is used. To evaluate the impact of the proposed expansion planning, this model is exerted to the 30-bus test system. Simulation outcomes display the proposed technique considering demand response model reduces the overall cost of the hybrid TEP-RPP. |
| Related Links | http://joape.uma.ac.ir/article_777_078d98112095dc4de79cd89d67017fb3.pdf |
| ISSN | 23224576 |
| DOI | ;10.22098/joape.2021.4089.1318; |
| Journal | Journal of Operation and Automation in Power Engineering |
| Issue Number | 1 |
| Volume Number | 9 |
| Language | English |
| Publisher | University of Mohaghegh Ardabili |
| Publisher Date | 2021-01-01 |
| Publisher Place | Iran |
| Access Restriction | Open |
| Subject Keyword | Electrical Engineering. Electronics. Nuclear Engineering Production of Electric Energy Or Power. Powerplants. Central Stations Demand Response Transmission Expansion Planning Reactive Expansion Planning Electrical engineering. Electronics. Nuclear engineering Electronics Production of electric energy or power. Powerplants. Central stations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Control and Systems Engineering Information Systems Energy Engineering and Power Technology Electrical and Electronic Engineering |