چكيده به لاتين
The increasing use of renewable energies, especially wind at a high power scale, for example, in the dimensions of a wind farm, has many advantages, including the extraction of free energy without fuel costs, reduction of losses and non-emission of pollutants. environmental noted. Therefore, with the increase in the entry of large wind farms in the power system, the transmission network will lose the necessary sufficiency to transfer power to the load. In other words, with the increase in production in the power system, some transmission lines become full. Therefore, with the arrival of wind farms and the increase in power system production, it is necessary to carry out special studies in the field of planning to strengthen the transmission network. Also, due to the uncertainty in the wind speed and its random nature, the output power of the wind farm has uncertainty. This causes the expansion of the transmission network in the presence of wind farms to require probabilistic analysis. Therefore, the purpose of this research is to plan the expansion of the transmission network in the presence of renewable wind sources, taking into account uncertainties including wind speed and load. In this study, a mixed integer non-linear programming model (MINLP) is used, and in addition to the investment cost in the construction of lines, the operating cost of non-renewable power plants is also defined as an objective function up to the total These two costs are halved. The simulation includes a 5-year planning horizon with a load growth rate of 5% per year, which has been performed on the IEEE 24-bus sample network in MATLAB software, and the optimization problem using the particle swarm meta-heuristic algorithm (PSO). It is solved. A probabilistic method based on probability density functions has been used to model uncertainty in load and wind speed. Also, in order for the results to be more accurate and the modeling of the problem to be closer to reality, the limits of losses and the analysis of equipment exit with the criterion (N-1) are added to the constraints of the problem. The effect of the presence and absence of renewable wind sources on the cost of investment in the construction of lines has been investigated. Also, by adding wind farms to other grids, the effect of the penetration depth of wind resources on operating and investment costs has also been investigated. The problem of planning the expansion of the transmission network is modeled in both static and dynamic ways. Finally, it can be seen that in the presence of wind sources, the operating and investment costs are reduced, and with the increase in the penetration depth of wind sources, these costs are also reduced. Dynamic planning also reduces operating and investment costs. The addition of loss limits and the analysis of equipment exit with (N-1) criterion also increases the operating and investment costs.
