Microgrid Photovoltaic Storage Management System

Microgrid Photovoltaic Storage Management SystemIntroduction:

A smart energy management platform is a system that integrates modern information technologies such as the Internet of Things (IoT), big data, cloud computing, and artificial intelligence (AI) for monitoring, controlling, and optimizing energy use to improve efficiency and reduce waste.

Ankerui's microgrid system solution involves installing various monitoring, analysis, protection, and governance devices independently developed by Ankerui at key nodes within the enterprise, including source, grid, load, storage, and charging; By utilizing technologies such as control, metering, and communication, distributed power sources, energy storage systems, controllable loads, electric vehicles, and energy routers are aggregated together; The platform flexibly adjusts the microgrid control strategy based on new grid prices, electricity loads, grid dispatch instructions, etc., and distributes it to energy storage, charging piles, inverters and other systems and equipment to ensure the safe, reliable, energy-saving, efficient, economical, and low-carbon operation of the enterprise microgrid at all times.

3. Solution:

3.1 Functional Architecture

2.2 Main functions:

(1) Energy consumption analysis:

(2) Electrical safety:

(3) Smart electricity usage:

(4) Energy comprehensive billing management

(5) Intelligent lighting control system

Microgrid Photovoltaic Storage Management Systemfeature

1. Multi energy complementarity and collaborative control

• Priority consumption of photovoltaics: When there is sufficient sunlight, local loads and charging needs are prioritized, and the remaining electricity is stored in batteries or fed into the grid.

• Smooth energy storage output: By adjusting charging and discharging, it reduces the impact of sudden changes in photovoltaic power on the power grid and improves user friendliness.

• Charging demand response: dynamically adjust charging power or switch to discharge mode (V2G) based on electricity price signals or grid dispatch instructions, and participate in demand side management.

2. Economic optimization

• Peak valley arbitrage: Charging and storing energy during low electricity prices, discharging during peak periods to supply loads or charging stations, and reducing electricity costs.

• Demand based fee management: Optimize high demand (MD) to avoid additional costs caused by instantaneous high loads.

• Carbon trading support: Record clean energy generation, generate carbon emission reduction certificates, and participate in carbon market trading.

3. Intelligent prediction and adaptive adjustment

• Meteorological and load forecasting: Combining historical data and weather forecasts, predict photovoltaic output and electricity demand, and develop scheduling plans in advance.

• AI algorithm optimization: By using reinforcement learning, deep learning and other algorithms, dynamically adjust control strategies to adapt to environmental changes (such as fluctuations in light intensity and sudden changes in charging demand).

4. Safety and reliability assurance

• Island protection: automatically switches to off grid mode in case of power grid failure to ensure power supply for critical loads.

• Battery Health Management (BMS): monitors battery temperature, SOC (State of Charge), SOH (State of Health), and extends its lifespan.

• Network security protection: using data encryption, access control, intrusion detection and other technologies to prevent network attacks.