Renewable Energy Resources and Technologies
Ali Ebadi; Ali Akbar Abdoos; Mohammad Ebrahim Moazzen; Sayyed Asghar Gholamian
Abstract
Nowadays, the Permanent Magnet (PM) generator has become an instrumental tool for wind power generation due to its high performance. In this study, an optimal design is established to provide a cost-effective multiphase outer-rotor PM wind generator (OR-PMWG). The cost of the generation system (generator ...
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Nowadays, the Permanent Magnet (PM) generator has become an instrumental tool for wind power generation due to its high performance. In this study, an optimal design is established to provide a cost-effective multiphase outer-rotor PM wind generator (OR-PMWG). The cost of the generation system (generator and power converter) as well as the annual energy output must be optimized to ensure cost-effective PM wind generation. In fact, the main novelty of this paper lies in the presentation of an accurate model of OR-PMWG and the investigation of the design variables affecting annual energy output and the generation system cost (GSC). In this respect, a multi-objective framework is presented to make satisfactory agreement among all objectives. At first, the main optimal design objectives namely generation system cost and annual energy output are optimized separately and then, a multi-objective optimization is established, in which all the objectives are considered simultaneously. In order to tackle these optimization problems, Genetic Algorithm (GA) is adopted herein to determine the design variables. It is also shown that simultaneous optimization with 71.39 (MWh) AEO and 2651.51 (US$) GSC leads to a more optimal design for a PM wind generation system. In addition, the effectiveness of the presented optimal design is demonstrated by making a comparison between a prototype outer-rotor PM wind generator and the theoretical counterpart. Finally, a finite element analysis (FEA) is carried out for the validation of the outcomes obtained from the proposed optimal design.
Renewable Energy Economics, Policies and Planning
Mohammad Amin Mirzaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Mousa Marzband; Amjad Anvari-Moghaddam
Abstract
The significant penetration rate of wind turbines in power systems made some challenges in the operation of the systems such as large-scale power fluctuations induced by wind farms. Gas-fired plants with fast starting ability and high ramping can better handle natural uncertainties of wind power compared ...
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The significant penetration rate of wind turbines in power systems made some challenges in the operation of the systems such as large-scale power fluctuations induced by wind farms. Gas-fired plants with fast starting ability and high ramping can better handle natural uncertainties of wind power compared to other traditional plants. Therefore, the integration of electrical and natural gas systems has great potential of enhancing the flexibility of power systems to incorporate more renewable power sources such as wind turbines. In this area, the uncertainty associated with wind speed has a meaningful impact on the optimal management of the generation units in power grids. This study proposes a stochastic market-based model for clearing of energy in interconnected power and gas systems with integration of wind power. Stochastic programming is developed for studying the uncertainty of wind power production using a normal distribution function in a two-stage model. It should be remarked that the proposed two-stage model covers the uncertainty of wind power generation and load demand in real-time dispatch determining the hourly scheduling of units in the first stage. It is expected that the operation cost of the integrated networks, local marginal pricing of the gas and power, and the load shedding will be increased by an increase in the residential gas load. The investigations showed a 4.2% increase of total operation cost of the integrated power and gas system by a 5% increase in the residential gas load.