Optimization of operation of Local Energy System
1. Description of the Use Case
1.1. Name of the Use Case
|Name of the Use Case
1.2. Version Management
|Name of author(s)
1.3. Scope and Objectives of Use Case
|This HLUC encompasses an extended conceptual description of a Local Energy System (LES) covering different actors’ perspectives, assets and functionalities related to the multi-vector optimization of the operation of the LES aiming at improving energy efficiency and environmental impact.
|Optimal control of RES, load flexibility and storage
|Co-optimization of different energy vectors
|Related business case(s)
|PUC02 Shift Building Loads using Demand Side Management
|PUC03 Shift Harbour Loads using Demand Side Management
|PUC04 Optimal Scheduling of Thermal and Electrical Storage
|PUC05 Optimal Scheduling of Electrical Storage and Hydrogen Storage
|PUC06 Storing Excess Generation in Thermal Network
|PUC07 Optimal Management of EV with Hydrogen and/or Electricity
1.4. Narrative of Use Case
The goal of this HLUC is to describe how optimal multi-vector operation of a LES can be achieved, by coordinating the different available assets; providing a solution to the optimal control problem of DER, flexible loads and different storage technologies. On the basis of these flexibility assets and considering the different energy networks (i.e. electricity, heat, gas, Hydrogen) the operator of the LES, aims to achieve specific goals related to the economic operation, reduce environmental impact and reduce the dependency from the main grid. The role of the LES operator can be undertaken by various actors such as: the Distribution System Operator (DSO), the Aggregator (e.g. Virtual Power Plant, EV Charging Infrastructure Owner/Operators), the Microgrid Operator, the Facility Operator; whilst the role of the flexibility provider can be handled by DER Owners i.e. the owners of generation and storage assets of various energy vectors – as well as Consumers and in general an aggregated scheme of the previous e.g. a Community within the LES.
The task of leveraging the multi-vector assets of a Local Energy System (LES) for achieving an optimized operation can be viewed by different perspectives. From the perspective of the operator of the grid, pursuing efficiency, reduce environmental impact and reliability; a task undertaken by an actor such as the Grid/Microgrid/Facility Operator. On the other hand, the optimal management of such resources can be leveraged by an Aggregator aiming to maximize its profits through market participation (VPP concept).
The assets involved in a multi-vector LES case concern various type of DERs (e.g. wind, PV, solar thermal), flexible loads (e.g. EVs, FCEVs, HVAC) and different storage technologies (i.e. electrical, thermal, H2). The (multi-vector) flexibility assets are assumed to be provided by the various DER owners and consumers, owned by individuals or the community within the LES. The flexibility providers procure services to the operator of the LES, in order to support the grid operation, improve the overall system efficiency and/or reduce the carbon emissions and are assumed to receive reimbursements respectively.
The core functionalities of the optimal operation concern:
• Demand side management and the shifting/scheduling of multi-vector loads (see PUC 2 Shift Building Loads using Demand Side Management, PUC 3 Shift Harbour Loads using Demand Side Management)
• Optimal scheduling of different storage vectors: electric, thermal and hydrogen-based (see PUC 4 Optimal Scheduling of Thermal and Electrical Storage, PUC 5 Optimal Scheduling of Electrical Storage and Hydrogen Storage, PUC 6 Storing Excess Generation in Thermal Network )
• Optimal Management of EV/FCEV related operations:
(see PUC 7 Optimal Management of EV with Hydrogen and/or Electricity)
The above functionalities are facilitated by forecasting, scheduling and integration services provided by the relevant tools developed in the project.
1.5. Key Performance Indicatiors (KPI)
|Reference to mentioned use case objectives
1.6. Use case conditions
1.7. Further information to the use case for classification/mapping
|Relation to other use cases
|Level of depth
|Generic, regional or national relation
|Nature of the use cases
|Further keywords for classification
|Optimisation, Local Energy System operation
2. Diagrams of Use Case
3. Technical Details
|Further information specific to this Use Case
|An operator of the distribution system of one or more vector in which the multi-vector local energy system is located. Utilizes the flexibility provided by a local energy system to solve grid problems and/or achieve energy efficiency and environmental goals.
|The operator of a microgrid. Utilizes the flexibility provided by a local energy system to solve grid problems (reduce grid dependency) and/or achieve energy efficiency and environmental goals.
|The operator of a local energy system. Utilizes the flexibility provided by a local energy system to solve grid problems (reduce grid dependency) and/or achieve energy efficiency and environmental goals.
|A market actor that utilizes the multi-vector flexibility assets. Can take the form of a Virtual Power Plant (VPP).
|An asset owner of generation or storage facilities which is able to provide flexibility to the aggregator.
|The owner of an EV, uses electrical energy to charge it.
|The owner of one or more FCEVs who utilizes the facilities of the LES for charging.
|A residential, commercial or industrial end-user of energy from one or multiple vectors.
|Impact on Use Case
|Organistaor / Organisation
4. Step by Step Analysis of Use Case
4.1. Overview of Scenarios
4.2. Steps – Scenarios
|Name of Process/ Activity
|Description of Process/ Activity.
|Information Producer (Actor)
|Information Receiver (Actor)
5. Information Exchanged
|Information exchanged ID
|Name of Information
|Description of Information Exchanged
6. Requirements (optional)
|‘Optimization of operation of Local Energy System’
7. Common Terms and Definitions
8. Custom Information (optional)
|Refers to Section