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| Content Provider | IET Digital Library |
|---|---|
| Author | Nasr, Mohamad Amin Azadani, Ehsan Nasr Rabiee, Abbas Hosseini, Seyed Hossein |
| Abstract | There are many technical challenges for integration of renewable energy sources (RESs) in the context of microgrids. Among these challenges, spinning reserve energy management should be accurately considered in the microgrid scheduling system for a better system operation. This study presents a methodology to model and analyse a novel scheme to integrate RESs, particularly photovoltaic (PV) systems, in diesel generation-based isolated microgrids. The proposed approach considers the uncertainties of PV power generation and demand, simultaneously, by solving a bi-level multi-objective optimisation problem using information gap decision theory (IGDT). The proposed energy management system is formulated considering spinning reserve constraints and the uncertainties associated with PV power generation and load, by solving a unit commitment problem. This method, a non-probabilistic approach, does not require the probability density function of uncertain parameters and provides a robust framework to better understand the potential savings due to the PV integration. In order to test and perform the analysis, realistic data from a 20 MW hybrid PV project is used as a case study. Furthermore, the proposed method is compared with probabilistic techniques, such as Monte Carlo simulations and scenario-based stochastic programming technique. The presented studies demonstrate applicability of the proposed model for real microgrids. |
| Starting Page | 940 |
| Ending Page | 951 |
| Page Count | 12 |
| ISSN | 17521416 |
| Volume Number | 13 |
| e-ISSN | 17521424 |
| Issue Number | Issue 6, Apr (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/13/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5856 |
| Journal | IET Renewable Power Generation |
| Publisher Date | 2019-01-04 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Active Power Demand Bi-level Multiobjective Optimisation Problem Decision Theory Demand Side Management Demand Uncertainties Diesel Generation-based Isolated Microgrid Diesel-electric Generators Distributed Power Generation Generation Uncertainties Hybrid PV Project Information Gap Decision Theory Linear Programming Microgrid Scheduling System Monte Carlo Method Optimisation Technique Photovoltaic Power System Photovoltaic System Power 20.0 MW Power Generation Dispatch Power Generation Economics Power Generation Scheduling Power Market Power System Economics Power System Managemen Power System Operation Probability PV Integration PV Power Generation Renewable Energy Source Reserve Constraint Reserve Energy Management Risk-averse Energy Management System Scenario-based Stochastic Programming Technique Solar Power Stations Stochastic Linearised SCUC Stochastic Programming System Operation Technical Challenges Unit Commitment Problem |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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