Branko Horvat Assistant to GM KONCAR Power Plant and Electric Traction Engineering Inc. Croatia

Transcription

1 Branko Horvat Assistant to GM KONCAR Power Plant and Electric Traction Engineering Inc. Croatia

2 Development, Engineering, and Implementation of Application Programs in the Cetina River Catchment Control Centre (CSRCE): Combining Commercial and Tailor-made solutions

3 Map of Croatia in Europe

4 Cetina hydroenergetic system (HES) general map

5 Cetina HES layout

6 Photo of Peruća HPP on the Cetina river

7 Role of Cetina HES in Croatian Electric Power System (EPS) Owner: HEP (Croatian Electric Power Utility) - Production Two storage and three compensation reservoirs Six hydroelectric power plants (HPPs) Installed power of 880 MW Supervision, planning and control important for whole EPS functioning Energetic contribution at yearly level in average 2278 GWh i.e. 15,4% of electricity needs or 20,2% of average production

8 Role of Cetina HES in Croatian Electric Power System (EPS) Picking power possibilities Important regulation capabilities Two HPPs dominantly contribute to LFC by economy balancing energy Additional importance in ancillary services: System operational security Load-frequency control Voltage control System restoration Islanding operation.

9 hp workstation xw4000 hp workstation xw4000 hp workstation xw4000 hp workstation xw4000 hp workstation xw4000 hp workstation xw4000 hp workstation xw4000 Configuration of the computer system OS with LCDs 6 x LCD 42'' + 1 x LCD 47'' OPERATOR WORK STATIONS STATIONS OS1 OS2 WS1 WS2 WS3 WS8... PRINTERS GPS Time server... P1... P3 LAN Communication server for HPPs Accounting measurements server SCADA and AGC server Application server Archive DB Domain controller Hydrology DB server Local RTU IEC LAN SWITCH Security hardcopies equipment Redundant firewalls Utility communication server (TASE.2) VLANs Utility TASE.2 2 SAN Switch Office LAN Utility WAN PROCESS LAN 500 GB Archive DB 300 GB SCADA 100 GB - Advance Common disk system External DB Web Portal for users on the Utility WAN Web Portal for users outside the Utility

10 Disposition of program modules SCADA and AGC server FEP Com. server Real-time data server Application server Hydrology forecasting application Hydrology forecasting DB Accounting measurements server ADVANCE Service Data base Application / Web Application Chronology server SCADA calc. Historical data server Simulation application Simulation DB Accounting measurements data Real-time DB Historical and chronology DB Scheduling application Scheduling DB External DB AGC Reactive power sec. contr. Optimization application Optimization DB External DB LAN Firewall Utility office LAN/WAN Utility communication server TASE.2 Hydrology DB server Archive DB DBM Server Web portal for users on the Utility WAN Web portal for users outside the Utility ADOS Archive data DBM functions Web portal Web portal Communication server for HPPs FEP Hydrology data Technical Static data

11 Real-time and Application program functions Short-term hydrology forecasting River flow simulation Short-term operation scheduling and optimisation Energy metering SCADA Automatic generation control Secondary reactive power and voltage control Web Portal and Data Warehouse

12 Application programs Building bloks of application programs: Windows application Windows Service dll Windows application with user interface (*.exe) Windows Service (doesn't have user interface) Dynamic library (*.dll) File Data file Database Database (DB) Service service interface (pages) Uniditectional data exchange Bidirectional data exchange

13 Application for short-term hydrology forecasting For short-term inflow forecasting Hydraulic program package DHI MIKE 11 Rainfall-Runoff (RR) module NAM hydrologic model (Nedbør-Afstrømnings-Model) Simulates runoff overland-flow, inter-flow, and base-flow In four storages surface, lower or root zone, groundwater, and snow. Catchment encircles 3650 km 2 distributed in 5 sub-catchments in explicit karst area.

14 Application for short-term hydrology forecasting It is difficult to estimate sub-catchments borders and their interconnections. Catchments are modeled independently. Inflow forecast (hydrographs) for the sites: inflow to storage reservoir Peruća, lateral inflow between reservoirs Peruća and Đale, tributary inflow to reservoir Lipa, inflow to storage reservoir Buško Blato, lateral inflow btw. HPP Orlovac and reservoir Đale, lateral inflow btw. compensation reservoir Prančevići and HPP Kraljevac.

15 Application for short-term hydrology forecasting From water balance of each sub-catchment the application calculates non-regulated water inflow. Appropriate filter parameters are adjusted separately for each sub-catchment depending on its characteristics. In parameter calibration of the sub-catchments a goal function (error) is minimised of the measured and forecasted inflow from a particular sub-catchment.

16 Application for short-term hydrology forecasting Forecasted inflows depend also on model input data measurements from automated meteorological measuring stations on the catchment, meteorological forecasts of precipitation, temperature and potential evaporation. Weighting factors of meteorological measuring stations influencing sub-catchment were also calibrated because measurements from a measuring station in one subcatchment may influence the inflow from another subcatchment.

17 Application for short-term hydrology forecasting Model input DB Meteorology forecasts Web Service WBS_METEOPROG Short-term hydrology forecasting DB Model output DB Hydrology forecasts Service WBS_HIDROPROG Hydrology parameters, hydraulic parameters, plant data Technical static data DB Service WBS_STATHIDRO DATA BASES Manual data input Meteorology forecast manual data input Short-term hydrology forecasting C C MIKE 11.dll C Short-term hydrology forecasting C Data output Hydrology data Piezometric data Hydrology data Piezometric data SCADA Real-time DB S Real-time data service C C S History data service Chronology and history DB ADOS S Hydrology and piezometric data service Hydrology and piezometric data DB ADOS

18 Application for short-term hydrology forecasting Forecast tabular view Forecast spacial sub-catchments layout

19 Application for generation scheduling For short-term generation scheduling of the HES Hydrologic program package DHI MIKE BASIN is used. Simulation procedure based on kinematic (hydrologic) model simulates sequences of semi-stationary states to validate the HES base and variant production plans. Optimisation algorithm softly limits the deviations between real and prescribed compensation reservoirs water levels.

20 Application for generation scheduling Application is used for development of production schedule in the period of one to seven days, using three time discretization levels: 15, 30 and 60 minutes. Intra-day scheduling is also supported.

21 Application for generation scheduling For development of the user interface layer Microsoft WPF (Windows Presentation Foundation) technology on top of Microsoft.NET platform was used. Middle layer implementing business logic is developed as XML ASP.NET web services also on top of Microsoft.NET platform, consisting of various calculation, analytic and integration functionalities. Calculation part of the business logic exploits MIKE BASIN engine for simulation and partly for optimization tasks.

22 Application for generation scheduling MIKE BASIN engine is also used for defining hydrologic model of the HES, used for solving simulation and optimization problems. Software interaction with the model is realized using MIKE BASIN.dll libraries that implement application programming interfaces enabling interaction with MIKE BASIN and the kinematic hydrologic model it contains.

23 Application for generation scheduling Integration part of the business logic enables interaction of the user interface with the Scheduling application database, integration with other subcomponents of the CSRCE System, including e.g. Short Time Hydrology Forecast (accessing inflow forecasts), PROZA NET SCADA System (accessing measured values for the purpose of re-planning or analysis). Database layer is implemented as relational database using Oracle 11.2g RDBMS.

24 Application for generation scheduling Short-term hydrology forecasting DB Hydrology forecasts Service WBS_HIDROPROG Static model HPPs Technical static data DB Service WBS_EENTW Static model cascade Service WBS_STATSLIV Operation plan Service WBS_PLAN Scheduling DB Initial values of dispatcher constraints Service WBS_PLAN_REQ Template or former day realized schedule / worked schedule DATA BASES Manual data input Scheduling process C C MIKE Basin.dll ILOG CPLEX.dll ILOG Concert.dll Data output Water level measurements Archived water level measurements SCADA Real-time DB S Real-time data service C S History data service Chronology and history DB

25 Archive database concept HPPs and CSRCE process information system DB (SCADA, AGC, Cntrl. Q and U) Application DB Application for short-term hydrology forecasting DB Real-time DB Chronology and history DB Generation scheduling Application for generation scheduling DB Cetina HES technical static data DB Archive DB (Data exchange layer) Service WBS_KROPOV Service WBS_HIDROPROG Service WBS_EENTW Service WBS_STATSLIV Service WBS_PLAN Service WBS_PLAN_REQ Archive DB (Archived data) Chronology and history DB Application for short-term hydrology forecasting data Application for generation scheduling data

26 Application for generation scheduling Main view Comparison planned/realised Water inflow calculation Report generation

27 Application for short-term optimisation By use of an additional external optimization algorithm of IBM ILOG CPLEX Goal function components incorporating HES power balance during discrete time intervals Economic generating unit commitment and load distribution are included.

28 Application for short-term optimisation Some optimisation tasks could not be solved by using MIKE BASIN. These optimisation tasks were solved by using CPLEX optimisation algorithms that are fully integrated with MIKE BASIN algorithms, constituting single optimisation engine that can be further utilized. CPLEX optimisation algorithms are also realised as.dll libraries.

29 Application for short-term optimisation Goal function: where:

30 Application for short-term optimisation Optimisation problem constraints represent a mathematical model of the process. Constraints incorporate equalities and inequalities. Equalities refer to water conservation and demanded power balances, generating units and HPPs characteristics Reservoirs water level-volume dependencies. Inequalities comprise physical, technical and dispatcher constraints and bounds operational constraints and bounds on binary decision variables of generating unit commitment.

31 Application for short-term optimisation Short-term hydrology forecasting DB Hydrology forecasts Service WBS_HIDROPROG Static model HPPs Technical static data DB Service WBS_EENTW Static model cascade Service WBS_STATSLIV Operation plan Service WBS_PLAN Scheduling DB Initial values of dispatcher constraints Service WBS_PLAN_REQ DATA BASES Manual data input Weighting factors, penalty values and costs Optimisation process C C ILOG CPLEX.dll Data display Water level measurements Archived water level measurements SCADA Real-time DB S Real-time data service C S History data service Chronology and history DB

32 Application for short-term optimisation Optimisation task selection Integrated with application for generation scheduling

33 Application for river flow simulation For river water flow and reservoirs water level simulation in the HES Hydraulic program package DHI MIKE 11 Hydro-dynamical (HD) module Simulates and checks whether the new production plan is realistic and realisable with respect to the constraints and regarding the end conditions Constraints are posed on water flows and levels at specific sites in the river bed

34 Application for river flow simulation End conditions refer to required compensation reservoirs water levels at the end of planning period. Into the model river bed and reservoirs cross-sections geometry was embedded at appropriate distances level-volume characteristics of the reservoirs were adjusted.

35 Application for river flow simulation As in MIKE 11 the object representing HPP does not exist a user-defined object (structure) was developed using an existing structure enabling the realisation of an object adapted by the user. User-defined structure works on the principle of calling a DLL written by the user. During development of the object friction head losses in headrace tunnels and penstocks, output power dependences on hydraulic head, turbine discharge, and generating unit efficiency, were taken into account.

36 Application for river flow simulation After the topological adjustment of all river elements and hydraulic and energetic structures, parameter calibration of model output data (water flows and levels) regarding model input data (energy production, inflows) was done. Calibration input data was collected from the following sources: database of State Hydro-Meteorological Institute (DHMZ), archived operator reports from HPPs.

37 Application for river flow simulation Scheduling DB Operation plan Technical static data DB Static model cascade Web Service WBS_VOZNI_RED Service WBS_STATSLIV Static model HPPs Service WBS_EENTW Short-term hydrology forecasting DB Hydrology forecasts Service WBS_HIDROPROG River flow simulation DB River flow simulation Service WBS_HIDRO_FLOW DATA BASES Manual data input River flow simulation MIKE 11.dll C C Archived water level measurements Water level measurements Data output SCADA Real-time DB S Real-time data service C C S History data service Chronology and history DB ADOS S Hydrology and piezometric data service Hydrology and piezometric data DB ADOS

38 Web data access Web portal Intranet Internet Multilevel security Archive DB CSRCE LAN External DB WBS_PORTAL HEP WAN Web Portal for users on the Utility WAN Web Portal for users outside the Utility INTERNET

39 Conclusion The applications not only use tailor-made solutions from commercial market but many algorithms and outputs were designed, programmed, and implemented according to the customer needs. The applications offer a set of additional tools. These tools are on disposal for the operator in the CSRCE to ease him fast and quality decision making. As the tools are ready to be used practically in realtime, they look like some sort of real-time control. It will enable a secure operation at higher and economical reservoirs water levels.

40 Thank you for your attention!