IEEE 2030.9-2019 pdf download

IEEE 2030.9-2019 pdf download.IEEE Recommended Practice for the Planning and Design of the Microgrid.
5.2 Load analysis
5.2.1 Load forecasting
Load forecasting is conducted to identify the load type and requirement, and is one of the major criteria for
DGs and energy storage configuration, and the selection ofpower supply for the mierogrids.
Analyze statistically the present load condition within the planning, rebuilding or expansion area of the microgrids, including:
Types of the main power load.
Peak load demand.
Typical daily load curves in every month.
Forecast the load demand in the planning period, according to the historical load data and the total programming requirement ofpower development within the covering area of the microgrid, including:
a) The growth trend of peak load
b) Types and levels of additional load
c) Total annual load demand forecasting data
d) The typical daily load demand forecast (with hourly interval data)
e) Dynamic load (e.g., motor) characteristics forecasting data (with minute or second level data)
Influencing factors need to be considered in load forecasting, including:
Economic factors: Economic factors influence the load size.
Time factors: The load level on weekends is usually below that on workdays. The load amplitude declines significantly, and the load curve has obvious changes during major holidays. In addition, load levels differ distinctly from season to season.
Meteorological factors: Temperature is the main factor affecting the short-term load. Humidity, clouds, rainfall, and comfort requirements may also influence the load, especially in summer.
Other factors: There are many other factors that may affect the accuracy of load forecasting. such as consumption pattern changes of large electric power consumers. The electricity price variation may also influence the load demand.
5.2.2 Load classification
Load may be divided into two categories according to the requirement of power supply reliability and the extent of the impact caused by power interruptions on personal safety and economic losses. The purpose of load classification is to ensure effective distribution of power in case of power shortages.
a) In case of one of the following situations, the load should be considered as uninterruptible load:
1) High risk of personal injury in case of power interruption
2) Potential severe economic losses in case of power interruption
3) Disruption to the normal work of the key electric power consumers in case of power interruption
b) In peak load periods or emergency situations, if the load can be interrupted or reduced according to the contract, the load should be considered as intermittent load
5.3 Power generation forecasting
5.3.1 Resource analysis
The resource analysis should be conducted before power generation forecasting, which mainly includes the resource evaluation of solar, wind, biomass, natural gas etc., and the geographic environment evaluation of the planning region, to assess a feasible DG configuration scheme (type and location).
5.3.2 Power output forecasting
Power output forecasting is the basis for the calculation of electric power and energy balance.
For solar and wind power output forecasting, the monitoring data of solar radiation and wind speed in the area of the inicrogrid should be collected and analyzed in advance for a minimum of a whole year, which is used to analyze the annual energy generation, annual generation curves, and typical daily generation curves. The data collected should include:
a) Representative maximum and average values of monthly irradiance and wind speed for consecutive years
b) The hourly total radiation, direct radiation, scattered radiation, sunshine duration, and wind speed for at least a whole year during the same period within the time horizon of the microgrid planning
c) The monthly average temperature and extreme temperature for consecutive years
d) The maximum wind speed, the extreme wind speed, and its occurrence time for consecutive years
c) The amount of extreme weather for consecutive years, such as consecutive rainy days. thunderstorm days, and sand storms
For power generation using biomass, natural gas, and diesel as the main ftiel, besides generator unit characteristics, the fuel condition also has influence on the power output forecasting. Fuel quality, supply, and price should he investigated and collected for historical and current periods to be used for evaluation and forecasting of generating output within the planning horizon.
5.4 System configuration
System configuration aims at determining the construction scheme (type and capacity) of I)Gs and stored energy devices in the supply-side of the microgrid. then satisfying the power demand in the system. System configuration should be conducted based on load classifications, load forecasting, and power output forecasting.
5.4.1 DGs and energy storage configuration.