Discussion on Operational Evaluation Indexes of Photovoltaic Plants

Photovoltaic power generation production and operation indicators are used to assess the safe operation of various power plants, equipment reliability, timeliness of replacement, and the company's overall operation of the power plant. This assessment method integrates various factors affecting the photovoltaic power generation capacity and selects nine key indicators for evaluation. The nine indicators have the characteristics of easy-to-collect, objective, measurable, and assessable data.

1. Power plant capacity factor (ie: overall efficiency)

Purpose: To comprehensively characterize the overall situation of plant operation during the statistical period.

Definition: In the statistical period, the ratio of the on-grid electricity of photovoltaic power plant to the theoretical power generation.

Calculation:

—Eout: on-grid electricity, unit: kWh;

-EPL: power loss due to planned power cut, unit: kWh;

-ET: theoretical power generation, unit: kWh;

The theoretical power generation ET is calculated as follows:

—HT: total radiation amount of tilted plane of photovoltaic array 1. Unit: kWh/m2;

- GSTC: standard radiation intensity 1 kWh/m2;

—P0 : installed capacity of the power station (peak tile power) in kWp

Sources of data: meteorological instruments, metering gateways, electricity bills

Clarification explanation: The power meter reading data source is an electrical gateway interface table.

Influencing factors: equipment performance, fault loss, fault response time, component contamination loss, power loss limit, local temperature, installation angle of photovoltaic modules, azimuth angle, annual utilization rate of photovoltaic power generation system, attenuation of components, conversion efficiency of photovoltaic arrays, and surrounding Obstruction shading, inverter losses, current collection lines and box-induced losses.

2. Station equivalent utilization hours

Objective: To characterize the effect of energy conversion under lighting conditions during the statistical period, and to fully measure the level of power station operation and maintenance and the power marketing capability.

Definition: During the statistical period, the amount of electricity generated is converted to the number of hours of electricity generation at the station's full installed capacity at full load, also known as equivalent full-load hours of electricity generation.

Calculation:

- EP: power generation, unit: kWh;

—P0 : installed capacity of the power station (peak tile power) in kWp

Sources of data: meteorological instrument, station side power meter, operation log, information system

Clarification explanation: The reading of the power generation amount is the station-side power meter. If there is no station-side power meter, it can be directly calculated according to the gateway table.

Influencing factors: equipment performance, power loss due to maintenance, power loss due to fault, power loss, and richness of light resources

3. Unplanned energy loss rate

Purpose: To characterize the degree of energy loss due to other unplanned activities or other uncertainties in addition to the limited effort of the grid plan. Objectively reflect the level of power plant management, the effectiveness of program execution and the stability of external factors.

Definition: Unplanned power loss versus theoretical power generation during the statistical period

Calculation:

- EP: power generation, unit: kWh;

- EPL: Loss of electricity due to power restriction plan, unit: kWh;

— EPM: planned power loss repairs, unit: kWh;

— ET: theoretical power generation unit: kWh;

Sources of data: grid dispatch orders, component cleaning records, weather instruments

Clarifications: Planned overhaul (general plan period is 4 weeks) and planned and planned limited output are not within the scope of calculation; limit output due to unplanned maintenance of the grid and grid instability should be included.

Influencing factors: power loss due to grid instability, staff unavailability caused by strikes, insufficient light resources, obscuration, temperature, equipment failure losses, unplanned maintenance delays, component contamination losses, and natural disasters.

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