Different network operation procedures and tools, based on innovative approaches of predictive electricity network operation, will be developed. The goal is the generation of effective solutions and information so that the integration of insular and highly variable energy resources is maximized. The operation and planning tools and procedures will be applied in different insular electricity grids in five countries across Europe for extensive demonstration, allowing the development of generalized guides of procedures and grid codes specific for future generation of smart insular electricity grids.
More than other electricity grids, insular electricity grids require the incorporation of sustainable resources and the maximization of the integration of local resources as well as specific solutions to cope with the inherent unpredictability of renewable generation. Therefore, insular electricity grids need a new generation of advanced smart tools, specific rules and specific services to face the new paradigm of large-scale renewable integration.
SINGULAR will provide recommendations as well as scalable and replicable solutions for all regulatory, technical and economic challenges of integrating a very large share of RES in insular electricity grids, while maintaining secure, reliable and high-quality power. Specifically, it will focus on the development of:
a) smart insular electricity network operation tools,
b) insular electricity network planning procedures and tools for grid integration, and
c) insular electricity network grid codes for grid connection of DG plants, further explained in the sequel.
Smart insular electricity network operation tools, including the short-term and very short-term forecasting for medium-/small-scale RES, risk management techniques for network failures, the integration of forecast uncertainty in optimal power flows, the state estimation in distribution networks with substantial RES penetration, the optimization of network reconfiguration and scheduling of DG resources, etc., will be thoroughly developed, providing valuable assistance towards the improvement of the distribution network operation.
In all these methodologies and tools, the modelling of risk and uncertainty is the key to successful sustainable grid integration of DG, for both secure operation and economic incentives. In addition, the limited predictability and high variability of RES injection also requires higher operational reserves to ensure that the network will operate in a safe, reliable and efficient manner. Thus, special attention will be given to the qualitative and quantitative determination of the required reserves, using innovative stochastic optimization models, so that specific reliability targets are met.
Regarding the long-term planning horizon, the project team will focus on effective distribution network planning procedures in terms of the geographical assessment for potential DG integration, the optimization of the network expansion and reinforcement, the distribution network flow and contingency analysis, and the economic impact of grid investments. Long-term combined generation and transmission and distribution expansion models will be developed and applied in the project-related insular power systems, in order to derive the overall expansion cost minimization under large-scale RES penetration, increased reserve requirements, demand response programs and with the presence of EES technologies (e.g. hybrid plants, plug-in electric vehicles, etc.). The insular specifications will be evaluated in terms of their economic impact on the overall social welfare in the long- and mid-term.
The RES support mechanisms shall be evaluated in terms of (a) their fitting with the existing electricity market design, and (b) their economic impact on native islanders, considering social-driven criteria motivating the permanent residence in these islands.
Intelen is responsible for:
The successful implementation of all microgrid DSM programs (Solar and Building) for the establishment of smart grids in insular electricity grids. In this project, the installation of a specific number of smart metering devices along with their associated IT equipment will take place in order to demonstrate the potential of demand response in the islands related to SINGULAR. Smart electronic energy services such as web energy efficiency programs, energy analytics and close real-time metering and meter data management services will be provided to the end-consumers, in order to receive appropriate signals towards the reduction of their energy consumption and the increase of energy efficiency.
- Develop advanced methods that allow to automatically and continuously identify and act – either reactively or even proactively – on complex, often incomplete and unpredictable, dynamic situations in the context of demand response / DSM in the smart power grid with RES integration.
- Develop user interfaces and interaction methods (Social Game Mechanics) that communicate energy-saving opportunities and price / dynamic incentives for DR/DSM in an optimized way, under data mining and data fusion personalization algorithms.
- Develop advanced consumer prioritization methods that continuously consider consumer’s potential for load curtailment and allow utilities to efficiently select the appropriate consumers to apply DR in a given time slot, based on RES balancing.
- Develop an innovative cloud-based MDM system that will support and manage the proposed DSM / DR services to the energy consumers that have also RES installations.
- Deploy DR/DSM pilot test with specific scenarios and key goal indicators.
Changes in electric usage (profiling) by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized, are required. From the perspective of the electric system as a whole, the emphasis of demand response is on reductions in usage at critical times. Demand response may be elicited from customers either through a retail electricity rate that reflects the time-varying nature of electricity costs, or a program – an attempt to induce customers to change their consumption behavior – that provides an incentive to reduce load at critical times. The incentive is unrelated to the normal price paid for electricity (e.g., supplemental) and may involve payments for load reductions, penalties for not reducing load, or both. Demand response represents the outcome of an action undertaken by an electricity consumer in response to a stimulus and typically involves customer behavioral changes.