Look-ahead risk-constrained scheduling of wind power integrated system with compressed air energy storage (CAES) plant
| Autor: | Milad Zamani-Gargari, Parinaz Aliasghari, Behnam Mohammadi-Ivatloo |
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| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
Wind power Compressed air energy storage 060102 archaeology Job shop scheduling CVAR business.industry Computer science 020209 energy Mechanical Engineering 06 humanities and the arts 02 engineering and technology Building and Construction Pollution Industrial and Manufacturing Engineering Scheduling (computing) Renewable energy Demand response Electric power system General Energy 0202 electrical engineering electronic engineering information engineering 0601 history and archaeology Electrical and Electronic Engineering business Civil and Structural Engineering |
| Zdroj: | Energy. 160:668-677 |
| ISSN: | 0360-5442 |
| Popis: | Due to increasing penetration of the renewable energy resources in modern power systems, the uncertain nature of these resources should be managed in real and near real-time scheduling. This paper investigates the benefits and applicability of look-ahead scheduling of integrated system including conventional generation units, wind power and compressed air energy storage (CAES). Different scenarios have been generated to model the uncertain parameters in the scheduling problem. To control and evaluate this stochastic process, the conditional value at risk (CVaR) framework has been implemented. Demand response programs have applied on the model to minimize the total cost and increase the flexibility requirement. This problem is formulated as mixed integer non-linear programming (MINLP) model with consideration of technical constraints of conventional generation, wind and CAES units. According to the numerical results, the operating profit could be maximized by the use of look-ahead approach and implementation of DR program. |
| Databáze: | OpenAIRE |
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