Elektro Ljubljana d. d. Positive energy networking
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1 Elektro Ljubljana d. d. Positive energy networking Ljubljana, Marec 2015
2 Territorial Organisation of Elektro Ljubljana Size: 6,166km 2 Number of users: 330,971 Electricity distributed to end users in GWh: < 3,900 GWh
3 100% 100% Elektro Ljubljana Group Elektro Ljubljana d.d. Distribution network operation and development Customer services Elektro energija d.o.o. Retail and wholesale market purchase and sales of electricity and natural gas Elektro Ljubljana OVE d.o.o. Production of electricity from RES Electric pumps Engineering services
4 Over 120 Years of Elektro Ljubljana 1896 start of electrification supplying the area since founding of the public corporation Elektro Ljubljana June 1998 restructuring into a public limited company 2001 technical and financial support for the construction of a solar power station 2010 beginnings of smart infrastructure for electric vehicles 2011 spin-off of electricity sales as a market activity 2012 production of thermal energy and electricity from biomass 2013 expansion of activities to foreign markets, start of natural gas sales
5 Content 1. HybridVPP 4DSO 2. FutureFlow 3. E-mobility & DSM
6 HybridVPP4DSO Details of the project: Spring 2014 Autumn project partners Further Information: Tasks of the project: Identifikation of DR potential in Styria and Slovenia Identifikation of critical grids Identification of both: market and grid business cases and development of use cases for hybrid VPPs Simulation of the hybrid-vpp operation in the distribution grid Proof-of-Concept in laboratory/ pilots Evaluation of hybrid approach
7 Research project on the active control of consumers and the production of renewable energy in the distribution network HybridVPP4DSO combines market- and grid-oriented approaches: Development of a concept for a hybrid virtual power plant (hybridvpp), including power generators, transmission network operators, retailers and consumers (industrial and commercial). The core question is: How can electricity supply networks be ideally prepared for the future challenges of the energy revolution with varying power consumptions and a fluctuating electricity generation?
8 Aggregation of small, decentralised units of both; production and consumption (comercial&industry) Seperate consideration of commercial and technical VPP Partcipation on electricity and balancing markets Support of local grids
9 Project goals: Better coordination of electricity generation from renewable sources and user-side measures. Stabilization of the electricity system as a whole. Development of new business and service models for hybrid virtual grids, which also result in economic benefits for the customers.
10 End Customers participation and their benefits ( ); in order to develop a tool which is as accurate as possible, we need: Potential partners: more than 20 companies in Styria and in Slovenia, in which an energy audit had been carried out Data: The collected energy data were used as a basis for the tool All data were/are/will be anonymized and used exclusively for this project Customers benefit: Comprehensive energy audit with load profile analysis and consultation with a team of experts from the project Audits were free
11 DR analysis in Slovenia ( ) Less than a half of asked companies agreed to take part in the interviews: 4 industrial customers and 1 commercial customer gave us the fulfilled questionnaires back. High engagement of retailer s representatives needed. 12 geographically different grid connecting points and measurement places respectively. DSM&DR have two companies. refusing DR is grounded upon their priorities Another barrier: not clear defined possible additional costs. Secondary School 7% Teniss Hall 7% Shopping Mal 7% Kindergarden 7% Wood factory 7% CHP 15% Industry & Commercial 50% South East Area (share of customers sorted by a sector) 14
12 DR analysis in Slovenia ( ) Slovenia: Grid Topology Max. Available Grid Connection Active Power is between 0,2 kw (the commercial customer) per connection and up to 702 kw. Yearly consumption; up to kwh. Almost all customers collect electricity consumption data daily. Majority of them have the capability of preparing the forecast for day in advance. BASE LINE!!! The percentage of electricity costs in the material and sold products costs is from 2 to 10 % (industrial) and less than 1% (commercial) for each company. Electricity data collection is done via bills or SCADA Systems (daily or one minute level). One industrial and one commercial company have their own energy sources, but are not in use regularly. Not even one company produces half products, which could be stored for certain, in advance definite time. Almost all companies during the hours of their highest production exceed their maximum available power. HIGH PEAK Night shifts: two companies. Four companies work more than one shift. City (share of customers sorted by a sector) 23 Telekom 13% Shopping Mal 22% Rest Home 9% Primary school 9% CHP 9% Furniture store 5% Industry & Commercial 13% Police station 4% Gasoline station 4% Hotel 4% Hotel & CSs-DC 4% Pharmaceutical s industry 4%
13 Slovenia: Grid Topology 2 parts of the power network; Gredos (MV network) VS PowerFactory Slowenien: RES, Industry, DR potential; cables/lines; city/country side Netzbereich 1/Grid 1: Voltage rise caused by CHPs Netzbereich 2/Grid 2: small share of production units- Voltage rise due to line drop compensation
14 Results of simulations Slovenia/Slowenien 2020: No problems caused by estimated increase of production & consumption Grid 2: 2 large CHP cause voltage rise line drop compensation added Slovenia/Slowenien 2030: Big wind turbines (2 MW) cause voltage rise line drop compensation no max. values violation Reproach voltage level reserve Grid 2; Reserve in voltage band necessary
15 Results of simulations Case study 2/Anwendungsfall 2 Slovenia Grid 2 Time of observation: 31. August 6. September Securing Voltage reserves Voltage < 106,5% Results/Ergebnisse: Voltage could be kept within the limits Usage of only a part of the VPP necessary Load changes for 800 kw Voltage changes for um 0,68%
16 Results of simulations Results of Grid oriented VPP case study : VPPs can have a significant influence on the voltage Grid operation: It is possible to avoid Voltage problems Appropriate usage in case of volatile Wind&Solar Partly effective in case of Water production Market oriented VPP: Can cause voltage band limit problems during unfavourable times general conclusion: usage of hybrid VPP is appropriate Possible Implementation solution: Traffic light model
17 FEV charging schedules re-profiling Grid constraints DSO EVSE Operator Plan (kw, +/- kw) Real (kw, kwh) Charging schedules EVSE Charging stations Charging load Charging target load Charging load Target FEV charging load VPP DER Operator Other producers and consumers Real (kw, kwh)
18 Power [MW] Virtual Power Plant - Activation 12 MW within 15 minutes response time in the morning :16 6:31 6:46 7:01 7:16 7:31 7:46 8:01 8:16 8:31 8:46 9:01 9:16 9:31 9:46 10:01 10:16 10:31 Day-ahead base line [MW] VPP capacity [MW] Corrected day-ahead baseline [MW] Actual reduction [MW] Requested reduction [MW]
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