Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Türkiye
Tezin Onay Tarihi: 2015
Tezin Dili: İngilizce
Öğrenci: Caner Çakır
Eş Danışman: OSMAN SEVAİOĞLU, İSMET ERKMEN
Özet:In spite of the fact that there is a growing trend for the integration of Renewable Energy Sources (RES) to the existing power systems, the intermittency and volatility of these resources should be taken into consideration in the day ahead operational planning for the sake of security and reliability of the electrical energy. Besides, the adverse effects of high penetration of wind energy - the largest global installed RES capacity - to the system operation could be mitigated with the utilization of Energy Storage Systems (ESS). The impact of ESS to the Security Constrained Unit Commitment (SCUC) problem in the presence of RES is going to be investigated throughout this thesis. SCUC is modeled using Mixed Integer Linear Programming (MILP) formulation. A vi MATLAB code is generated in order to generate an input file to characterize the MILP SCUC problem that is to be fed to the IBM CPLEX 12.6 solver. Moreover, a method is proposed to generate and reduce stochastic Monte-Carlo scenarios and these are integrated to the SCUC problem in order to characterize the uncertainties in the wind power generation and system demand. The generated scenarios are reduced by “k-means” method using “R” software. A deterministic SCUC, which contains no uncertainty, is also generated in order to provide a benchmark for comparison purposes. Finally, the constructed deterministic and stochastic problems are solved using IBM CPLEX 12.6 solver, and a day ahead planning is obtained. Even there are studies investigating the impact of ESS to the SCUC following either deterministic or stochastic approach, there is no publication considering both methods up to the authors knowledge. The main contribution of this study is that it considers both approaches to evaluate the impact of ESS on SCUC. Moreover, the impact of storage capacities and deployment locations of ESS to the reduction of operational cost and wind power curtailment is analyzed for the IEEE 24-bus power system.