Ankerui Microgrid Strategy Control Smart Energy Management Platform

Ankrui Liu Chuan

1. Background and Requirements

Policy environment: Strong policy promotion, continuous improvement of institutional standards

Guiding Opinions on Promoting the Construction of New Energy Microgrid Demonstration Projects in July 2015

Trial Measures for Promoting the Construction of Grid connected Microgrids in July 2017

Test Specification for Microgrid Connection to Distribution Network in February 2018

Opinions on Fully and Accurately Implementing the New Development Concept and Doing a Good Job in Carbon Peak and Carbon Neutrality Work in September 2021

Clarify the market position of incremental distribution networks, microgrids, and distributed power sources that primarily consume renewable energy.

Cost trend: Technological progress promotes continuous cost decline, and installation capabilities are enhanced

According to Bloomberg data, it is predicted that by 2025, photovoltaic modules are expected to drop to $0.15 per watt, a decrease of 37%;

The price of lithium batteries will drop to $94/kWh by 2024 and $62/kWh by 2030, and the continuous decline in electrochemical energy storage costs will drive the sustained improvement of microgrid economy.

Development significance: To assist in the end consumption of distributed new energy and ensure national energy security

In March 2022, the "14th Five Year Plan for Modern Energy System" pointed out the active development of smart microgrids that mainly consume new energy, achieve compatibility and complementarity with the large power grid, and ensure national energy security.

In July 2022, the "14th Five Year Plan for National Urban Infrastructure Construction" pointed out the orderly promotion of the application of active distribution networks, microgrids, and AC/DC hybrid power grids, and the extension and expansion of power supply services to "power supply+energy efficiency services".

2. Requirements for connecting microgrids to distribution networks

Microgrids should adopt a single grid connection point system. When there are two or more grid connection points with the external power grid, at least one grid connection switch should be kept closed during grid connection operation.

When both high and low voltage levels meet the access conditions, low voltage level access can be used, but it should not be lower than the high voltage level within the microgrid.

3.Acrel-2000MGAnkerui Microgrid Strategy Control Smart Energy Management PlatformIntroduction

Acrel-2000MGAnkerui Microgrid Strategy Control Smart Energy Management PlatformBy installing various monitoring, protection, and governance devices independently developed by Ankerui at key nodes of internal sources, networks, loads, storage, and charging; By utilizing advanced 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 the latest 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.

4.Acrel-2000MGAnkerui Microgrid Strategy Control Smart Energy Management Platformfunction

The microgrid energy management system includes the main interface of the system, which includes microgrid photovoltaic, wind power, energy storage, charging piles, and overall load situation, reflecting the system's main wiring diagram, photovoltaic information, wind power information, energy storage information, charging pile information, alarm information, revenue, environment, etc.

Energy storage monitoring

System comprehensive data: electrical parameter data, charging and discharging capacity data, energy conservation and emission reduction data;

Operating modes: peak valley mode, planning curve, demand control, etc;

Statistics on electricity consumption, revenue, and other data;

Real time monitoring of the overall operational level of the energy storage system by comparing the power curve and charging/discharging capacity.

Photovoltaic monitoring

Total output of photovoltaic system

Monitoring and alarm of the operating status of the DC and AC sides of the inverter

Statistics and Analysis of Inverter and Power Station Power Generation

Grid connected cabinet power monitoring and power generation statistics

Statistics of annual effective utilization hours of power generation and identification of inefficient power plants;

Electricity generation revenue statistics (subsidy revenue, grid connection revenue)

Radiation/wind/environmental temperature and humidity monitoring

Grid connected power quality monitoring and analysis

photovoltaic forecasting

Rooted in massive power generation and environmental data;

Based on high-precision numerical meteorological forecasting;

Adopting multi-dimensional isomorphic heterogeneous BP and LSTM neural network optical power prediction method

Time resolution: 15 minutes

Ultra short term future 4-hour prediction accuracy>90%

Short term future 72 hour prediction accuracy>80%

Short term photovoltaic power prediction

Ultra short term photovoltaic power prediction

Numerical Weather Forecast Management

Error statistical calculation

Real time data management

Historical data management

Photovoltaic power prediction data human-machine interface

Wind power monitoring

Total output of wind power generation system

Monitoring and alarm of the operating status of the DC and AC sides of the inverter

Statistics and Analysis of Inverter and Power Station Power Generation

Grid connected cabinet power monitoring and power generation statistics

Statistics of annual effective utilization hours of power generation and identification of inefficient power plants;

Electricity generation revenue statistics (subsidy revenue, grid connection revenue)

Wind speed/wind speed/air pressure/environmental temperature and humidity monitoring

Grid connected power quality monitoring and analysis

Charging station system

Real time monitoring of the charging system's charging voltage, current, power, and the operating status of each charging station;

Statistics on the charging capacity and electricity cost of each charging station;

Provide fault alerts for abnormal information;

Flexibly adjust the charging power according to the electricity load.

power quality

Continuously monitor the power quality and reliability of the entire system. Monitor and analyze steady-state data such as voltage harmonics, voltage flicker, and voltage imbalance, as well as transient data such as voltage rise/fall and voltage interruption, and display waveform recording. Monitor voltage and current transients.

5. The system can be matched with hardware