Wide Area Oscillation Damping using Utility-Scale PV Power Plants Capabilities

With increasing implementation of Wide Area Measurement Systems (WAMS) in power grids, application of wide area damping controllers (WADCs) to damp power system oscillations is of interest. On the other hand it is well known that rapidly increasing integration of renewable energy sources into the grid can dangerously reduce the inertia of the system and degrade the stability of power systems. This paper aimed to design a novel WADC for a utility-scale PV solar farm to damp out inter area oscillations while the main focus of the work is to eliminate the impact of communication delays of wide-area signals from the WAMS. Moreover the PV farm impact on inter area oscillation mitigation is investigated in various case studies, namely, with WADC on the active power control loop and with WADC on the reactive power control loop. The Quantum Particle Swarm Optimization (QPSO) technique is applied to normalize and optimize the parameters of WADC for inter-area oscillations damping and continuous compensation of time-varying latencies. The proposed method is prosperously applied in a 16-bus six-machine test system and various case studies are conducted to demonstrate the potential of the proposed structure

Reliability Constrained Unit Commitment Considering the Effect of DG and DR Program

Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79

An approach to improve the PSS performance and tuning process considering uncertainty in excitation system model using a novel grouping scheme

Utilizing of the power system stabilizer (PSS) is a common approach to eliminate the low frequency power swings. The phase lag that must be compensated by the PSS to increase the damping of the system efficiently should be carefully obtained from the excitation system; but, the uncertainty in the excitation system data is an unavoidable issue and must be eliminated. This paper utilizes a comparative study of different AC excitation system models on a large-scale power grid to investigate the impact of uncertain information on the compensation angle and then PSS design and tuning. Moreover, this paper presented a new grouping scheme for the excitation systems based on similarity in the value of phase shift. Using this scheme, the excitation models of each group will share similar parameters for PSS tuning which can improve the stability for all excitation system models in the same group. So, the excitation system with inaccurate information can be replaced with an alternative model in the same group to be used for PSS tuning. The efficiency of the grouping scheme has been validated using the four-machine two-Area, The New England and Iran national power grid