Choosing Appropriate Power System Simulation Models for Different Events

This report forms a discussion relating to what types of power system models there are and what software packages are available to investigate different power system phenomena. The responses which might emerge to perturbations to the power system are tabulated to provide examples of Automatic and Manual interventions – that is, responses which can emerge endogenously from the system or those which can be controlled by human operators over different timescales. Similarly, the types of simulation models which could be used to investigate these different aspects are described and how they may interact or be leveraged in a wider-ranging resilience assessment. These are categorised based on being either Initial Condition Simulators that allow a range of different system conditions to be postulated, defined in such a way as to allow subsequent assessment of the impact of disturbances, or Power System Perturbation Simulators such as dynamic simulators which model the impacts of disturbances on these original conditions, such as short circuits or loss of generation infeed

Multi-microprocessor power system simulation

This thesis presents the results of research performed into the simulation of electrical power systems using a set of microprocessors operating in parallel , The uses and methods of simulation on analog and single processor computers are discussed as well as on multiple processor machines . It then considers various methods already used in the field of simulation for both the dynamic and network sets of equations in detail and the problems of using them on parallel processors . Several possible methods of parallel simulation are proposed and the best of these developed into a detailed algorithm for simulating both the dynamic and network portions of the power system .The different types of multiprocessor system are looked at , both in terms of physical configuration and the type of hardware used to implement the different types of system .The problems inherent in parallel computing are discussed and a form of multiprocessor, suitable for the simulation algorithm, is then developed taking these problems Into account. The hardware is developed using widely available hardware and the algorithm Is then Implemented upon this hardware .The results obtained using the simulator show that the proposed system provides a more economical solution, both in terms of the time taken in producing results and in the cost of the system, when compared with a conventional single processor computing system such as a mini computer

Power System Simulation, Control and Optimization

This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence

Power System Simulation by Parallel Computation

The concept of parallel processing is applied to power system simulation. The Component Connection Model (CCM) and appropriate numerical methods, such as the Relaxation Algorithm, are established as a conceptual basis for the parallel simulation of small power networks and individual power system components. A commercially available multiprocessing system is introduced for the power system simulator, and the system is adapted to facilitate high-speed parallel simulations. Two separate strategies for controlling the parallel simulation, synchronous and asynchronous relaxation, are introduced, and their performances are evaluated for the parallel simulation of an induction motor drive system. The performances of the parallel methods are also compared to a similar simulation run on a single processor, and the results show that considerable simulation speed-up can be obtained when parallel processing is employed

Photovoltaic power system simulation for small industry area

In this paper, modeling and simulation of 1MW grid connected PV system is simulated using National Renewable Energy Laboratory's (NREL) HOMER software, and the optimum system is analyzed to see the economic feasibility of the system in a small industry area in Malacca, Malaysia. The system is expected to foresee reduced grid energy consumption. Emphasis is also placed on reduction of green house gases emission. HOMER will simulate the system and perform optimization of system according to the available usage data and the available renewable energy (sun radiation) data. The lifecycle and cost of each system modules will also affect the optimization duly. In addition, HOMER also performs optimizations according to different assumption of uncertain factors to gauge the effect of sensitivity list

Techniques for power system simulation using multiple processors

The thesis describes development work which was undertaken to improve the speed of a real-time power system simulator used for the development and testing of control schemes. The solution of large, highly sparse matrices was targeted because this is the most time-consuming part of the current simulator. Major improvements in the speed of the matrix ordering phase of the solution were achieved through the development of a new ordering strategy. This was thoroughly investigated, and is shown to provide important additional improvements compared to standard ordering methods, in reducing path length and minimising potential pipeline stalls. Alterations were made to the remainder of the solution process which provided more flexibility in scheduling calculations. This was used to dramatically ease the run-time generation of efficient code, dedicated to the solution of one matrix structure, and also to reduce memory requirements. A survey of the available microprocessors was performed, which concluded that a special-purpose design could best implement the code generated at run-time, and a design was produced using a microprogrammable floating-point processor, which matched the code produced by the earlier work. A method of splitting the matrix solution onto parallel processors was investigated, and two methods of producing network splits were developed and their results compared. The best results from each method were found to agree well, with a predicted three-fold speed-up for the matrix solution of the C.E.G.B. transmission system from the use of six processors. This gain will increase for the whole simulator. A parallel processing topology of the partitioned network and produce the necessary structures for the remainder of the solution process