Results and Store Them in PLANET Database

Planning and Operational tools for optimizing energy flows & synergies between energy networks

Developing PLANET Decision Support System

R e s u l t s 2 0 1 9 PLANET is an EU funded, 3-year research and innovation project that started in November 2017, and consists of 11 European partner organisations project scope

Objectives

Energy system decarbonization with maximum the penetration opportunities for VRES in the electrical distribution grid enabled through short/mid/long-term storage provided by innovative conversion/storage technologies (P2X)

Minimization of expensive interactions with the electrical transmission grid via energy flow channeling into district heating and natural gas networks

Constraints verification, including overloading and voltage limits violation, in the electrical distribution grid and avoidance of network expansion and/or upgrade based on sector coupling

Key stakeholders

Distribution System Operators Assessment of the added value of sector coupling in grid balancing with high presence of intermittent renewable electricity sources

Policy makers Impact assessment of different “decarbonization” policies encouraging primary energy mix and conversion asset deployment

Storage/Conversion asset owners Assessment of business viability of asset deployment in the energy system in terms of added value to the energy grid

Aggregators Evaluation of portfolio composition for energy/service market participation PLANET is driving towards decarbonization of the whole energy system by tackling the intermittency challenges of renewable energy sources

Marco Badami Project Coordinator Politecnico di Torino

B y O c t o b e r 2 0 1 9 , T h e M a i n R e s u l t s

PLANET Framework Implementation of Establishment preliminary middleware deployment PLANET Network Simulation and Optimization Implementation of components preliminary IDOC configuration deployment PLANET Framework Establishment

The steps towards defining and establishing the PLANET Framework:

Definition of Use Cases that formed an initial study platform for PLANET system followed by system requirement elicitation utilising DSO feedback from IREN and SOREA.

Analysis of future energy systems - including distributed generation mix, energy consumption trends, flexibility units, grid topologies, etc.- along with extensive analysis of communication standards and existing standardised interfaces (e.g. IEC61850).

Based on the above, establishment of PLANET architectural framework and initiation of information exchange modelling.

Adaptation of PLANET DSS to the Smart Grid Architecture Model in an effort of standards compatibility.

“What-if” analysis and process steps definition during scenario exploration as below:

STEP 1 STEP 2 STEP 3

Initial User-driven SCCE configuration configuration optimisation & problem & deployment & strategy identification strategy validation

Coupling of three major energy networks: electric, natural gas and district heating

1 www.h2020-planet.eu

D1.1 End-user requirements and specifications of the PLANET system

D1.2 Report of energy system outlook and scenario definition

D1.3 Requirements documentation for PLANET system communication & grid interfaces

D1.4 & D1.5 PLANET system architecture definition

Architectural framework and system communication flows

Component layer

Energy Market t Communication layer e k r

a Information layer M

Function layer

e s i CP2HO P2GAO CPO Business layer r p r

TSO DSO e t n E IDOC

PLANET Middleware

SCCE n

Grid Simulation o i t a

Component r

Demand Model / Supply Model / Asset Model - P2G, P2H, VES e HMI p O

IEC 61850 Local

protocol Gateway n

Grid o i t a

Automation t DER controller Z-Wave, S Zigbee, Wi-Fi s s e c o r P Transmission Distribution P2H Customer Premises P2G DER Bulk Generation

(Commercial, Public Premises, Transportation & Prosumers)

PLANET DSS mapping to the Smart Grid Architecture Model

2 Configuration of the Network Simulation and Optimization Components

Demand and Supply forecasts:

The RES production and uncontrollable demand models were simulated utilizing collected data, standardized load profiles, forecasts provided by renewables.ninja and further real-life feedback.

The P2H-enabled VES module:

Development of P2H-enabled VES module incorporating comfort profiling, space thermal models and optimization strategies that provide context-aware demand flexibility profiles.

The Common Information Model:

A semantic data model that represents the information exchange within PLANET ecosystem.

SCCE:

Development of District-level Storage and Conversion management & Coordination Engine

Network Simulation:

Simulation of areas in the Distribution Grid of Torino, more specifically in the MV section

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D3.2 Electricity and Gas demand/supply, Heat demand/supply forecasting models for future energy system scenarios

D3.3 PLANET P2H-enabled human-centric VES module

D3.4 PLANET Common Information Model

D3.5 District-level storage/conversion management & coordination engine (SCCE)

D3.6 PLANET simulation model generator and integration to the distribution grid simulation suite

3 Overview of PLANET information model

Network simulation

4 Implementation of Preliminary Middleware Deployment

“Middleware” is a software that connects distributed software components to a central platform and various databases. Currently the PLANET middleware, which is based on the open source Linksmart middleware, has been implemented with the following main functionalities:

to allow the registration of simulators from different simulator providers in the PLANET platform; to allow selection of a central simulator to be used by the system user for the simulations; to remote control the operation of a simulator via the PLANET IDOC UI (start, stop, pause); to retrieve the simulation results and store them in PLANET database.

Further planned developments will focus on the remote control of Digital Network Simulator, currently Simulink is www.h2020-planet.eu controlled. Additionally, the implementation of co-simulation scenarios will be explored through communication with D4.2 PLANET communication remote simulators that will model the operation of middleware registered, to PLANET dispersed flexibility assets, namely VES, P2G, P2H.

PLANET IDOC Flexibility Unit registration and management interface

5 PLANET IDOC Simulation Scenario creation and editing interface Implementation of Preliminary IDOC Deployment

The IDOC comprises the UIs for all PLANET actors as well as all the back-end scripts, data management and visualization programs. The actors include the system administrators, the DSOs, the flexibility unit (facility) managers, and policy makers.

The current implementation is quite mature and contains functionalities for simulation scenario creation, editing, storage and deletion, control of central PLANET simulator, visualization of simulation results. In addition supporting functionalities such as user identity management, configuration of system parameters dashboards have also been implemented.

The current version is a strong basis towards future improvements regarding the inclusion of more KPIs and simulation results, and potentially more intuitive visualizations regarding the status and abnormalities of the grid (e.g. graphical information for over voltages, line overloading, reverse power flows etc).

The aim of the IDOC decision support system (DSS) is to provide to the relevant actor the proper information towards the diagnosis of grid problems stemming from excess RES generation and then to utilize available flexibility units to avoid curtailment of renewable energy and transform it into storable forms of energy via VES, P2G and P2H. Further IDOC developments include the integration of the PLANET unit dispatching optimization module (SCCE) and dashboards that will allow the unit manager to assess the benefits from participating in PLANET as DR asset.

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D4.3 PLANET integrated DSS and monitoring/orchestration cockpit

6 PLANET IDOC simulation results tentative visualization of network power flow

PLANET IDOC simulation results tentative visualizations of financial and emission KPIs

7 Terminology

D M S DSO MIDDLEWARE SCCE Distribution System Operator Software that connects distributed software Storage and Conversion management & components to a central platform and Coordination Engine DSS various databases Decision Support System P U DR P2G UI Demand Response Power-to-Gas User Interface

P2H I Power-to-Heat V

IDOC VES Integrated DSS and Monitoring/ Virtual Energy Storage Orchestration Cockpit VRES Variable Renewable Energy Sources

Partners

This project has received funding from the European Union's Horizon 2020 research and innovation funding programme under grant agreement No 773839

8 P l a n n i n g a n d o p e r a t i o n a l t o o l s f o r o p t i m i z i n g e n e r g y f l o w s a n d s y n e r g i e s b e t w e e n e n e r g y n e t w o r k s

Project Coordinator

Marco Badami Politecnico di Torino [email protected]

www.h2020-planet.eu

@H2020_PLANET

PLANET H2020

H2020 PLANET