grey wolf algorithm

Achieving optimal and safe energy management and planning, taking into account the reduction of electricity production, transmission and distribution costs, as well as the reduction of environmental pollutants, has become increasingly important in many power companies in developing countries. With the optimal use of renewable energy sources and the use of a secure platform, including blockchain technology, the aforementioned goals can be achieved. To solve optimization problem, after modeling the hybrid AC-DC microgrid and considering the high complexity of the proposed formulation, the grey wolf optimization algorithm is proposed to solve the problem. In order to check the efficiency of the system under cyber-attacks, the system is subjected to false data injection attacks in different parts of the system, and then the operation is done under normal conditions and cyber-attacks. In this paper, MATLAB software package is used to solve the optimization problem and modeling the cyber-attacks. The operation results have been examined in different scenarios and the negative effects of such attacks are shown by comparing with the normal state. Then, to enhance the security of the system and prevent attacks, blockchain technology is presented to increase the security of the data exchanged in the system.

Economic dispoatch in the operation of modern power systems is of great importance. The economic load dispatch, taking into account all constraints, needs to be allocated among different multi-area generators. Economically distributing the load in multi-area economic dispatch (MAED) can simultaneously satisfy multiple constraints. In this regard, the use of algorithms can be helpful. This study aimed to determine the decentralized economic power dispatch in the transmission system using Grey Wolf Optimization (GWO) and Wild Horse Optimization (WHO) algorithms. In this study, a combination of GWO and WHO algorithms, aided by a fuzzy logic system, was employed in MATLAB software to obtain the optimal power generation schedule for a 24-hour period in the presence of HVDC and HVAC transmission lines. The results of this study on the IEEE 118 BUS network demonstrated that the GWO and WHO algorithms, considering point load, achieved satisfactory results in reducing losses and generation costs. Therefore, the use of these algorithms is recommended for improving decentralized economic power dispatch in the transmission system.