Rüzgâr enerjisi ve FACTS cihazları ile koordineli iletim hattı planlanması

Today, the electricity grid turns into an even more complex structure with the integration of renewable energy sources. Maintaining the adequacy of the power system is a primary role for system planners, but it is complex to deliver a reliable supply due to the uncertain nature of these resources. The effective use of available renewable generation only makes sense if the grid is not congested, which once again underlines the importance of the transmission infrastructure. In this context, this thesis presents a probabilistic AC power flow-based transmission expansion planning model that handles load, wind, and N-1 contingency uncertainties. Transmission expansion planning model is handled with a chance-constrained optimization structure using probability distribution functions. The economic load distribution problem is adapted to planning optimization formulations by using distributed slack bus and participation factor approaches to reduce the computational burden due to the AC power flow equations. In that manner, it is aimed to use the probability distribution functions of the network constraints and the AC power flow equations without linearization, and the transmission expansion planning is analyzed in terms of risk. In the first stage, the applicability of probability distributions in planning problem using DC power flow equations are examined, then AC probabilistic power flow is modeled using a distributed slack bus approach and compared with the classical power flow. In the last stage, chance constrained transmission investments are obtained and tested with different scenarios, then risk-oriented investment plans are examined by including FACTS devices in the proposed AC planning model. Consequently, a coordinated stochastic transmission expansion planning with FACTS devices is developed by providing direct use of probability distribution functions of voltage, reactive power in addition to active power and resulting investment decisions are examined in terms of economic, technical and flexibility standpoints.