EMS Modelling and Simulation

The energy system modelling process involves balancing multiple energy sectors and sources and maintaining a holistic viewpoint on the whole energy system. Overall, the energy sectors included in this category are transport, industry and heating, cooling and electricity production. The need to ensure supply security further complicates coordination between producers and consumers of different energy sources. Due to the multiplicity of involved energy sectors, the planning process needs to integrate not only a variety of technologies but also proper energy grids to address the energy system development. In this context, adopting the smart energy system approach enables the integration, combination, and optimization of different energy elements in the context of holistic energy planning. More specifically, planning procedures admit the design of alternatives, taking advantage of the ability to conduct technical analysis for a range of scenarios. As a result of this process, decision-makers gain a better understanding of alternative options and their consequences, so they can make informed decisions. Additionally, as the energy system transitions to renewable energies, which largely fluctuate in nature, it has become increasingly complicated. For managing the transition, long-term strategies and reliable energy systems modelling are required.

In consideration of this, ROBINSON will develop an Energy Management System (EMS) for isolated environments that include a model predictive control (MPC) system and fits for stabilizing the grid and ensuring energy security through well-managed energy fluxes and a balanced increase in demand and production. The ROBINSON EMS will combine the existing connection to the mainland with new installed distributed elements of the energy system to ensure a reliable and well-balanced coverage of generation and demand for electricity, and process steam and heating. Each island (lighthouse & followers) will be modelled and simulated based on the data provided for i) the component constraints and weather conditions, including actual and forecasted data, and ii) the cost data, including actual and forecasted costs the electricity cost during days and nights, the maintenance costs, etc. and iii) the power demand values. The MPC will operate in a way to minimize the system operative costs ensuring service continuity and hence energy security.

This section presents an indicative EMS layout for the ROBINSON system (Figures 1, 2, 3). Energy needs, power plant synthesis (solar and wind power, CHP power, etc.) and costs are inputs in the economic model (Market Function) for limiting OPEX and satisfying energy demand. This model delivers nominal values of each mechanism to real-time Model Predictive Control. Figure 2 shows the EMS layout of the ROBINSON concept in Eigerøy; it includes hydrogen from electrolyzers and biomethane from AD-BES with renewable syngas from the gasifier. A similar scheme could be developed for the polygeneration grid of the Western Isles and Crete, depicting different prime movers but maintaining a similar layout. Additionally, energy system simulations and transition scenarios can be executed with several different models and tools. New tools are frequently developed, making them suitable for a variety of contexts. The development of new tools is occurring in response to the increasing complexity of the renewable energy transition so that to comply with the needs of the local communities in mind.

 

Figure 1 EMS layout in ROBINSON concept

Figure 2 EMS layout in ROBINSON concept, Eigerøy

Figure 3 EMS in MATLAB Simulink environment, developed by UNIGE within WP3.