This paper presents a novel stochastic planning framework for the integration of renewable distributed energy resources (DERs) into existing power systems without relying on new investments in transmission networks. The upper-level problem proposed model aims at minimizing total expected social cost supplying demand that includes getting from conventional generating units and DERs, congestion n...

This research was conducted to optimize the distribution system using Adaptive Neuro Fuzzy Inference System (ANFIS) method. Objective functions used are to minimize active power loss, node voltage deviation, number of switches, and maintain balance of the feeder. This function is modeled in a fuzzy set to build basic characteristics. The Method has been applied to the 32 bus IEEE standard distr...

We propose a technique to assess the vulnerability of power system state estimation. aim at identifying measurements that have high potential being target false data injection attacks. From perspective adversary, such following characteristics: (1) influential on variable estimates; (2) corrupting their measured values is likely be undetected. Additionally, characteristics should not change sig...

In this article, the Improved Mayfly Algorithm (IMA) is used as an upgraded form of (MA), featuring simulated binary crossover and polynomial mutation operators replacing arithmetic standard distribution MA. With MA, IMA's achievements significance are acknowledged. The algorithms achieve a final best solution for investigated objective functions optimal power flow problem in deregulated electr...

reactive power management plays an essential role in the secure operation of the power system as an ancillary service. although in electricity markets, the particular attention is paid to active power, the reactive power also plays an important on total generation costs of electricity. on the other hand, as it is mainly confined to local consumption, to avoid market power and maintain the secur...

This paper presents a synchronized phasor measurement-based wide-area backup protection scheme which uses the magnitude of sequence voltages of buses at a system protection centre to identify the faulted bus closest to the fault and faulted line. The technique is tested for various faults including simultaneous faults in various systems with interconnections. The scheme is found to be accurate ...

This paper presents a Least Absolute Value (LAV) state estimator for power system using a new method called Recursive Least Squares (RLS). Also, a suitable model is used for state estimation of power system that includes a Unified Power Flow Controller (UPFC). The IEEE 14-bus test system is used to show the validity of the proposed algorithm in estimation of power system states as well as the s...

In this paper, a modified Rao-2 (MRao-2) algorithm is proposed to solve the problem of optimal power flow (OPF) in system incorporating renewable energy sources (RES). Quasi-oppositional and Levy flight methods are used improve performance Rao algorithm. To demonstrate effectiveness MRao-2 technique, it tested on two standard test systems: an IEEE 30-bus 118-bus system. The objective function O...

System stability study is the important parameter of economic, reliable and secure power system planning and operation. Power system studies are important during the planning and conceptual design stages of the project as well as during the operating life of the plant periodically. This paper presents the power system stability analysis for IEEE9 bus test system. The fault is created on differe...

With the growing complexity of the current power grid, there is an increasing need for intelligent operations coordinating energy supply and demand. A key feature of the smart grid vision is that intelligent mechanisms will coordinate the production, transmission, and consumption of energy in a distributed and reliable way. Economic Dispatch (ED) and Demand Response (DR) are two key problems th...