1. Pss Netomac

Whether you are a PSS® novice or an experienced user, the PSS® User Group Meetings will provide you with the perfect opportunity to learn directly from product engineers, network with fellow users, and share experiences with the whole PSS® community.New Zealand PSS® User Group Meeting Christchurch, NZ November 25-26, 2019Join us for a two day UGM hosted by one of our customers, this event was designed with PSS®SINCAL users in mind. You will also have the option to extend your stay to attend a three day advance training course: PSS®SINCAL for steady-state analysis, power system dynamics and modeling.Australia PSS® User Group Meeting Melbourne, AUS December 3-5, 2019Join us to attend two days of product deep-dive sessions for each PSS®E and PSS®SINCAL. This event will also include four complimentary technical workshops. Electricity modulesPSS®SINCAL modules for electrical network planningSupporting all network types from the lowest to the highest voltage levels with balanced and unbalanced network models, PSS®SINCAL offers you a various range of capabilities from short-term to long-term planning tasks, fault analysis, reliability, harmonic response, protection coordination, stability (RMS), electromagnetic transient (EMT) studies, and more. Explore the various capabilities PSS®SINCAL offers for electricity network planning and analysis. Load flow or power flow calculation is the program module for the analysis and optimization of existing networks. Weak point determination is one of the important tasks in network planning.

Short-circuit calculation. Short-circuit analysis is the method employed for assessing the correct ratings for the network (i.e. The maximum fault currents) and also the correct protection settings (i.e. The minimum fault currents).

The purpose of the contingency analysis software module is to assess the load flow in networks during outages of network components and generators. It provides information on security of supply and weak points in the network. When multiple faults and interruptions occur in a power system simultaneously at several locations, e.g. In the not-so-rare case of a double earth fault, multiple faults calculation determines the steady-state distribution of current and voltage in the network.

The actual switching configuration is taken into account, as is load flow. Capabilities of this module include:. All type of faults and interruptions at bus bars or branches with user-definable distances. Any combination of faults (fault packages) including unbalanced faults and interruptions at different locations at the same time. Capabilities of this module include:. ­Static network reduction for load flow, 3-phase and 1-phase short circuit.

­Ward, Extended Ward equivalents for boundary definition. ­Dynamic network reduction with automatic generation of a dynamic equivalent network with the same dynamic behavior using coherent generators. ­Identification of controller parameters for all equivalent generators. ­Graphical selection of network parts for reduction. ­Scripting solutions. Variants capability to maintain the original and equivalent grid.

Capabilities of this module include:. Efficient algorithms for very large network models.

Valuable eigenvalue filter capability in modal analysis. Differentiation between real and augmented state variables­. Evaluation and optimization of power systems small signal stability including inter area oscillations.

Parameter identification to improve modal characteristics from eigenvalue analysis. ­Interactive mode overview in s-plane. Polar diagrams for observability and controllability of modes.

­Residues/ frequency respons Y(s) (Bode, Nyquist) and time response. ­Tabular reports of modes incl. Frequencies, relative damping, omega and sigma values. Tabular reports of state variables incl. Left and right eigenvectors, residues, participation factors, etc. Automatically determines: Installation location of the storage system in the feeder, maximum generated power in MW, required storage capacity in MWh.

Pss Netomac

Load scaling factors or different operation states or load profiles. Interactive method with: - cluster technology and distributed computing,- thermal limit of all elements in the network under all conditions,- voltage limits and power quality, - voltage fluctuation caused by sudden generation or load fluctuations,- short circuit limitations, and interactive result display including tabular views. The wind power model package contains the following models for load flow and stability simulations:. ­Squirrel-cage induction generator (SCIG)The SCIG model represents a fixed-speed wind turbine.

It includes the induction machine model, single or two-mass mechanical model, aerodynamic model, over-/under voltage protection, no-load compensating capacitor or switched capacitor bank. ­Doubly-fed induction generator (DFIG)The model includes the induction machine representation, DC-circuit, rotor side converter control and protection (reactive current boosting, crowbar protection), line-side converter control, single or two-mass mechanical model, over-/under voltage protection. Full converter wind generator (FCSG)The FCSG model is based on a variable speed generator. It includes the synchronous machine model, inverter and control, AC voltage/reactive power control, DC voltage control, reactive current boosting, current limitation, virtual inertia/pitch control, aerodynamics model; overspeed/DC overvoltage, AC over-/under voltage protection. GMB is a stand-alone model builder and testing environment that can generate dynamic models for use in tools of the PSS ® portfolio.GMB uses PSS ®SINCAL platform’s PSS ®NETOMAC software user-interface to easily create dynamic models. GMB becomes a drawing tool that is simple and quick for implementing, editing and documenting dynamic models including:.

­excitation systems (AVRs). ­power system stabilizers (PSS). ­turbine governors (GOVs). ­HVDC models. FACTS models. load models.

­transformer models. ­source models (e.g. Generic wind). storage modelsUsing GMB, the user can develop a wide variety of dynamic models using graphical funtion blocks.

The models can be easily included as macro files without the need of compliation and linking. Line constants calculation is capable of determining characteristic parameters of overhead lines and underground cables. The line parameters required for network analysis − i.e. Load flow, short circuits, interferences and other studies − can be calculated based on geometrical configuration (i.e. Tower or trench structure), overhead line or cable type.

The following systems can be calculated:. ­One-phase systems with ground return conductor. Two-phase systems (AC systems, e.g.

Railway systems). Three-phase systems. Sections with up to nine parallel systems with different voltages are possible. The fully couple matrix can be automatically assigned to the elements of the network model. The new Master Database makes it possible for multiple users to work on a network simultaneously – often required from small consulting teams up to large utilities. The Master Database works similar to a source control system and centrally manages the changes of different users. Users can edit in their assigned local databases then the changes can be synchronized with the Master Database.

Special synchronization functions with conflict management under control of an administrator are used to transfer changes made by the users to the global Master Database. This assures that the data in both the Master Database and in the local client databases remain consistent.The Master Database acts as a data container that documents any changes in individual data (repository). A “labeling” mechanism allows a set-back of the network to a defined stage.

User roles enable the company to define different levels of access and approval of changes. In addition to the usage of separate calculation methods, PSS ®SINCAL offers full solutions for a complete workflow. These workflows facilitate the interconnection planning process of distributed generators connecting to the power grid.1) Grid code – connection of distributed generation to the grid (EEG)PSS ®SINCAL offers a verification tool to check whether these power plants comply with the grid code interconnection requirements of BDEW in Europe or NER in Australia. The grid code check is a combination of diverse calculation methods, e.g. Load flow, short circuit and harmonics, and the evaluation of the results against the permissible limits in the (national) standards.2) ICA simulation (maximal hosting capacity)The new PSS ®SINCAL ICA module enables the user to either quickly and cost effectively evaluate the best location of a planned DER, or to find the generator or load size which can be linked to the system without the need for system enhancement.

The module automatically determines the maximum generation or load that can be installed independently at each point of the distribution system without violating any constraints in a systematic and cost effective way. The workflow combines different calculation engines like power flow and short circuit with network adoptions within one single work flow to get to an overall final result for the entire system.3) Network model mergePSS ®SINCAL offers features to support workflow setup which can be controlled from external applications such as SCADA.

PSS ®SINCAL receives a network model via SCADA and performs the power flow analysis on the network model in user defined intervals. This enables operators to perform tasks such as operational security analysis, outage planning, or coordinated capacity allocations.

Digital transformation has already disrupted urban mobility with on-demand car services and transport apps availing some of the fastest and cheapest ways to move around a city.Cities can expect to see even more new mobility services and business. These changes are coming at a time when many cities are facing gridlock and worsening air quality, and yet technology can create opportunities to meet the need for cleaner air for more people. Despite public transit investments, congestion is worsening globally. The sheer volume of inter- and intra-urban transportation has outpaced improvements in and customer uptake of clean transport technology.As a result, air quality has deteriorated in many cities, large and small, and city leaders have largely accepted that, at its core, poor air quality is a major matter of public health and wellbeing. However, it is also an issue of environmental justice: As the data show, air quality in cities tends to be worst in the poorest communities, and disproportionately affects vulnerable communities, such as the very young and the elderly.City leaders are under pressure to meet air-quality challenges and define strategies for sustainable, clean, and smart growth. Fortunately, the deployment of sensors and digital analytics provide unique opportunities for city leaders to harness data to make better decisions and act in the short term.Siemens City Air Management tools and consulting help cities identify methods to avert poor air quality in the short term and to build a strategy for longer-term technology change. City Air Management monitors and forecasts air quality and simulates actions that a city can take in the short term to avert breaches of air quality standards and limit respiratory stress on the most vulnerable citizens.

The ChallengeThe City of Nuremberg has been working for years to reduce air pollution and emissions of greenhouse gases. Local traffic, however, made it difficult to consistently meet WHO air quality recommendations, especially for nitrogen dioxide.Our ApproachThe city has implemented an IoT-enabled system that collects air quality data from sensors around the city. Using historic data on air pollution, weather, and traffic patterns, the system forecasts air quality by using neuronal networks. The City Air Management tool simulates the impact of corrective actions, such as mandating low-emission zones, speed limits, or reduced prices for public transportation.The ImpactBy simulating the five day’s impact of the selected preventive action on air quality, the city is empowered to evaluate measures and to remain proactive in the battle for better air in cities.

Resilience is the ability of a system to survive and thrive in the face of a complex, uncertain, and ever-changing future. It is a way of thinking about both short-term cycles and long-term trends; minimizing disruptions in the face of shocks and stresses; recovering rapidly when they do occur; and adapting steadily to become better able to thrive as conditions continue to change.A resilient energy approach enables a proactive and holistic response to risk management and a way for cities to maintain global competitiveness. It is also a powerful companion to sustainable development thinking.

Resilience is about interlinkages of systems and the specific methods of boosting technical performance. The following framework can help promote resilience in design and decision making.Siemens’ technologies can help cities create such a framework for resilience through innovative solutions and our expertise in the areas of electrification, automation, and digital technology.Siemens has deep experience in deploying new energy solutions while maximizing existing infrastructure to promote resilience. The navigation control aspect of an airport is heavily dependent on electric power and critical to aircraft movement both in the air and on the ground. Aircraft on the ground often use fossil fueled APUs, increasing the airports carbon footprint. What a typical airport has is space to set up a sturdy, island-able microgrid integrating photovoltaics, CHP, and storage technologies.

These provide the reliability and resilience that keeps aircraft travel one of the safest forms of transportation today. Not only is weaving a low carbon energy footprint into its large venue a plus, it also supports new sports venue design trends that are adding features like the inclusion of power outlets into each seat so millennials can stay connected during the game. By integrating proven Siemens distributed energy generation solutions and management, these large municipal complexes that spike energy use with each event can provide an uninterrupted experience for their guests and thus securing a reliable future income stream. Siemens has a highly tailored approach to smart cities that derives from our core expertise in technology and infrastructure hardware. Our work has grown to include cities because over time cities have been the beneficiaries, users, and sometimes owners of many Siemens technologies. The Internet of Things (IoT) and Smart City-type technologies are creating opportunities for cities to meet some incredible challenges cost-effectively, from improving social equity and air quality to reducing congestion. Siemens understands the base technologies because we made these “hard” technologies, delivered them to our clients, and even used them ourselves in our own manufacturing facilities and buildings.

Over time, and as technology improved, software became an ever-larger component of our hardware packages because it allowed the users to better manage and optimize the systems or processes. This software has been critical to our own manufacturing plants and the assembly processes that involved connecting hundreds of different components to improve the manufactured products.Now, the growing Siemens software business is more and more combined with our hardware technologies and is one of our key offerings across our core business areas, including energy, transport, buildings, and healthcare. Siemens established the Center for Urban Development, comprised of a dedicated team, to address specifically the needs of city leaders and their staff, and administrative agencies.The Center also seeks to serve as a transparent and useful entry point for city decision makers to enter a structured dialogue in which they can make base-line assessments of needs.Our cities team members understand city goals and processes and put this understanding front and center in their work. This team can work across the Siemens business divisions, and pull expertise from all over the company, even from Siemens units in other countries.To reach any member of this team please click or feel free to reach out to any of the team members directly.