جستجوی مقالات مرتبط با کلیدواژه "ذخیره ساز باتری" در نشریات گروه "برق"

Nowadays, increasing the cost of electrical energy, especially at the peak load duration, besides the environmental caused by fossil fuels, have made the peak shaving problem by clean and renewable energies, one of the important as well as essential subjects in electric power industry. Hence, in this paper, combination of the photovoltaic power plant and the battery storage system is used to solve the peak shaving problem. In doing so, a new formulation is proposed for determining the optimal capacity of the photovoltaic power plant as well as battery storage. In the considered constraints in the mentioned formulation, technical issues and economic problems are combined together in an appropriate manner. Moreover, solving the optimization problem is performed regarding the consumption load profile as well as the hourly cost of the electrical energy of under-consideration costumer, and also the expected value of the inflation and the electrical energy cost in the future years. After that, the obtained solution is evaluated in terms of the economic feasibility and its interaction with the upstream electric power distribution network. Another considerable point in this paper is the use of the real data in an actual network for simulations. The simulation results, confirm the convenient performance as well as good efficiency of the proposed method.

In this paper a bi-level optimization approach is introduced to increase the participation of household investors to install battery storage systems in the distribution level. The incentive prices are used here to encourage the private investor. In the upper level the viewpoint of the government is modeled in which, the peak shaving is the goal while minimizing the cost due to the allocated subsidies. In the lower level of the model the investors’ point of view is modeled and their profit is maximized. The bi-level model is converted into its equivalent single level optimization using KKT optimality condition. The proposed single level nonlinear model has been linearized using big-M method and the strong duality theorem (SDT). A dynamic iterative model based on grid-search is also implemented to model the behavior of the participants. The performance of the presented model has been analyzed using real data of Yazd network.

Nowadays, power quality issues and problems related to voltage variations have been emphasized by consumers of electrical energy and distribution utilities. Thus, compensating issues such as voltage sag and voltage deviations in the distribution network level are of paramount importance. This paper proposes a hybrid planning algorithm to locate distributed generations (DGs) and battery energy storage systems (BESSs) in an optimal way for solving economic and technical problems related to the occurrence of voltage sag in a distribution network. This algorithm is a nested problem, which is considered to represent the uncertainty of DGs along with load demand for simulating the occurrence of the voltage sag. In the next step, the DGs and BESSs obtained from the planning algorithm are used in a real-time post-fault network reconfiguration algorithm for economical operation and improvement of voltage deviations of the network. In the final part, total power loss is calculated with the presence of DGs and battery storage systems. The two proposed algorithms have been tested on a modified IEEE 33-bus distribution system. The obtained results demonstrate the 53 percent reduction of the cost function of the planning algorithm without the need for adding the cost of the occurrence of voltage sag and the 50 percent reduction of the total power loss due to the suitable compensation.