Flexible AC Transmission Systems (FACTS) controllers with its ability to directly control the Power flow can offer great opportunities in modern Power System, allowing better and safer Operation of transmission network. In this paper, in order to find type, size and location of FACTS devices in a Power System a Dedicated Improved Particle Swarm Optimization (DIPSO) algorithm is developed for decreasing the overall costs of Power generation and maximizing of profit. Thyristor-Controlled Series Capacitor (TCSC) and Static VAr compensator (SVC) are two types of FACTS devices that are considered to be installed in Power network. The purpose of this study is reducing the Power generation costs and the costs of FACTS devices with considering different load levels. The main bases of this paper are using of Optimal Power Flow (OPF) and DIPSO algorithm to techno-economical analysis of the System for finding optimal Operation. The Net Present Value (NPV) method is used to economic analysis of the System and Power losses and maximum possibility load demand are considered for technical analysis. The proposed method is implemented on IEEE 57-bus test System and the achieved results are compared with genetic algorithm and particle swarm optimization methods to illustrate its effectiveness.

In this paper, a wind Power System based on a doubly-fed induction generator (DFIG) is modeled and simulated. To guarantee high-performance control of the Powers injected into the grid by the wind turbine, five intelligent super-twisting sliding mode controllers (STSMC) are used to eliminate the active Power and current ripples of the DFIG. The STSMC controller is a high-order sliding mode controller which offers high robustness compared to the traditional sliding mode controller. In addition, it reduces the phenomenon of chattering due to the discontinuous component of the SMC technique. However, the simplicity, ease of execution, durability, and ease of adjusting response are among the most important features of this control compared to some other types. To increase the robustness and improve the response of STSMC, particle swarm optimization method is used for this purpose, where this algorithm is used for parameter calculation. The simulation results obtained using MATLAB software confirm the characteristics of the designed strategy in reducing chattering and ensuring good Power control of the DFIG-based wind Power.

More electric aircraft has become an interesting topic in recent studies. In this paper, an optimal electric Power generation mechanism is proposed for aircraft. Inverter-interfaced engine-driven induction generators are considered as distributed generators in the aircraft microgrid. Droop controller is applied to enable the parallel Operation of generators and eliminate using of conventional constant speed drives. A new method is proposed to determine optimal droop gain for active Power sharing. The method is applied to minimize the frequency deviation of the AC aircraft network. In the following, the reactive Power sharing is considered as a challenge in case of asymmetrical load distribution. By proposing a new algorithm, optimal reactive Power droop gain is determined with regard to the small signal stability of the System. Proposed Power sharing methods are evaluated by simulation of a sample aircraft grid. The optimization results for assigned Power and droop gain are given. Simulation results show that the frequency regulation of aircraft electric grid is properly achieved. Also it is shown that the reactive Power sharing is enhanced and the System stability is maintained.

In today's Power Systems, the use of methods that can increase the energy efficiency and reduce the cost of the generated energy has received much attention. One of these methods is the use of the combined heat and Power (CHP) plants that simultaneously can generate the electric and thermal Powers. In the conventional thermal Power plants, the thermal energy of the working fluid coming out from the turbine is dissipated that result in low efficiency. However, it can be used for the heating purposes in the CHP units that result in the high efficiency of these plants. Due to the wide use of the CHP units in the Power System, different aspects of the Power System such as Operation may be affected that must be studied. In this paper, the study of the Power System Operation integrated with the CHP plants is performed. For this purpose, the PJM method that considers the reliability-based indices such as unit commitment risk is utilized. Moreover, a four-state reliability model is developed different types of the CHP units including gas turbine, steam turbine, reciprocating engine, micro-turbine and fuel cell technologies. In the proposed model, both the failure of composed components and the participation of the CHP units in the thermal Power generation are considered. To determine the probabilities of different states of the proposed model, matrix multiplication technique is used. Based on the PJM technique, the numerical results associated to the Operation studies of the RBTS and IEEE-RTS that are given and the unit commitment risk and the required spinning reserve of these Systems calculated considering the effect of the CHP units.