Overall System Evaluation Results

For the overall system evaluation, 3 main Evaluation Scenarios were realised, covering the different business perspectives examined within the INERTIA framework.

Evaluation Scenario ES1: Utilizing Prosumer Flexibility

The scope of this evaluation scenario is to monitor real LCH building operation under normal or extraordinary conditions in order to exploit prosumer flexibility under various control strategies. In this case it is supposed that the “DR strategy” selection is disabled by the Facility Manager, thus the LCH operates independently serving its own needs, thus focusing on energy/financial aspects but also on occupants comfort.

Evaluation Scenario ES1.1: Utilizing Prosumer Flexibility preserving occupants comfort

In this case the overall LCH automated operation is fulfilled by fully preserving building occupants preferences. A successful control strategy is the one that achieves its goals and at the same time causes the minimum corrective control actions and therefore the minimum of disturbance to end users.

Evaluation Scenario ES1.2: Utilizing Prosumer Flexibility for Maximizing Prosumer and Aggregator Financial Benefits (Shared Profit Maximization)

The scope of this evaluation scenario is to assess the financial benefits that can be achieved by utilizing the available flexibility at local control hub level when no DR signal is triggered by the Aggregator. Demand shedding and demand shifting are examined towards the establishment of an energy-efficient/comfort environment.

Evaluation Scenario ES2: Offering Ancillary Services to System Operators

The role of the Aggregator, as the provider of services to system grid operators, is critical in the INERTIA framework and therefore different scenarios are examined as part of the evaluation process. The goal is to validate different services that Aggregators can provide to DSOs as part of their role in the deregulated energy market environment.

Evaluation Scenario ES2.1: Use of flexibility to solve a congestion problem in the distribution network after a fault

Congestion issues are related with the power that flows through the lines and the transformers of a power system. The power flows among the different network’s equipment must be maintained within acceptable operational limits in order to prevent equipment failures excessive ageing which can result in network operational instability. A congestion problem might occur during peak demand hours or when an unusual network topology configuration is used. This scenario addresses the role of the Aggregator, as a main stakeholder examined in the project, towards the provision of demand flexibility to the DSOs.

Evaluation Scenario ES2.2: Use of flexibility to avoid voltage limit violations in a network with high penetration of distributed generation

A high penetration of renewable DERs can significantly affect the network operation in a number of ways. The scope of this evaluation scenario is to assess the performance of the INERTIA framework exploiting the synergy between the aggregated flexible demand offered by the local hubs and the RES production to increase the RES hosting capacity of the distribution network without the need of a grid expansion plan.

Evaluation Scenario ES3: Utilizing Portfolio Flexibility for Imbalance Risk Reduction Services

In this scenario the Aggregator acts as a balance responsible party (BRP) responsible for the balancing services in the portfolio. As imbalance cost prices are very volatile, the system of balancing responsibility imposes risks to the Aggregators. The overall scope of this scenario is not to examine a holistic market framework, but the perspective of the evaluation process is on balancing forecasted with actual demand of the portfolio side from a technical point of view.

Results Summary

On the one hand, the pilot trials conducted at the real-prosumer (CERTH building in Greece) showed that under the several different conditions tested, the building subsystem (Local Control Hub holistic flexibility framework) managed to apply automated control of building’s assets (HVAC, Lights, Other), achieving significant results in terms of energy reduction and flexibility potential (both downwards and upwards) within a context that managed to maintain the overall comfort of building occupants to targeted levels. In particular, the energy savings ranged from 18% (building operating in comfort mode) to 29% (building in Energy Efficient mode, utilizing dynamic pricing). The thermal discomfort was further kept within acceptable levels (lower the 45% discomfort) and as low as 29% discomfort (in comfort mode) (on a scale where 25%-50% discomfort is considered acceptable while 0%-25% is considered optimal). In this context, the financial profits reached as high as 28% (Energy Efficiency utilizing dynamic pricing) to 16% (comfort mode) in average numbers, with a potential of 18%-28% CO2 emission savings. Finally, the maximum downwards flexibility (calculated for the next 15-minute period) accounts for 18% to 24% on average, while the upwards flexibility has been determined as high as 80%.

On the other hand, based on the integrated system tests simulating grid abnormal conditions that required demand response flexibility to be utilized at different levels, the Aggregator Control Hub managed to successfully provide the requested amounts of flexibility to the DSO. Situations requesting both downwards (congestion management) and upwards (high penetration of distributed generation) flexibility were simulated using the DSO tools, and in most of the cases the INERTIA framework demonstrated that such a solution of active Demand Response management utilizing aggregated prosumer flexibility could bring desired results in stabilizing the grid.

For more detailed results per evaluation scenario click on the corresponding links on the left.

Last Update: 17/11/2015 11:19