KeywordsAcrelEMS3.0； Highway energy management; Integration of source, network, load, and storage; Henan Stock Exchange; Smart energy; Green and low-carbon; Photovoltaic energy storage; energy efficiency optimization

The energy system of highways usually includes various loads such as mains power supply, distributed photovoltaics, energy storage stations, electric vehicle charging piles, lighting, ventilation, monitoring, and living services. The core challenge lies in:

(1) The total energy consumption is large and continues to grow: With the improvement of service facilities and the improvement of electrification level, energy cost has become an important operational expenditure.

(2) The contradiction between peak and valley energy consumption is prominent: the peak of daytime passenger flow in the service area and the operation of some facilities at night cause severe fluctuations in the load curve, which can easily lead to high costsElectricity demand.

(3) Insufficient interaction between new energy consumption and the power grid: the proportion of self generated and self used distributed power generation such as rooftop photovoltaics needs to be increased, and the profit model of surplus electricity connected to the grid is single.

(4) Extensive energy management: Lack of real-time monitoring and energy efficiency analysis of transformers, lines, and key loads, with safety hazards and energy waste coexisting. The integration of "source, grid, load, and storage" through system integration and intelligent scheduling, coordinates loads, energy storage, and distributed power sources to achieve internal supply-demand self balance and friendly interaction with the external power grid, which is the key to solving the above problems.

Core architecture and functional highlights:

(1) Panoramic perception and digital twin: Through various high-precision measurement and control instruments and gateway devices of Ankerui, real-time collection of comprehensive data of "source" (photovoltaic, energy storage), "network" (distribution network), "load" (charging piles, lighting, HVAC, etc.), and "storage" (energy storage battery system) is carried out to construct a digital twin model of the highway energy system, achieving visibility and visibility.

(2) Intelligent scheduling and optimization control:

Priority consumption of photovoltaics: Real time tracking of photovoltaic output and load demand, priority scheduling of photovoltaic electricity for local load use, and spontaneous self use rate.

Energy storage strategy optimization: supports various strategies such as peak valley arbitrage, demand management, backup power supply, photovoltaic smoothing, etc. Discharge during peak periods of electricity prices in the power grid and charge during off peak periods; Predicting peak load, automatically controlling energy storage discharge to reduce transformer demand, and lowering basic electricity bills.

Flexible load regulation: For adjustable loads such as charging stations, air conditioning, lighting, etc., while ensuring basic services, participate in system balance regulation to achieve "load following source" or "source following load".

(3) Fine management of energy efficiency and energy conservation and consumption reduction:

Conduct sub item, partition, and time-based energy consumption measurement and statistics to accurately locate high energy consuming links.

Provide transformer load analysis, three-phase imbalance control, power quality monitoring and alarm to ensure power supply safety and quality.

Establish an energy efficiency benchmarking system to assist managers in setting scientific energy-saving goals and assessments.

(4) Carbon emission management and green certification:

Accurately calculate the carbon emission data of each link, generate carbon emission reports, and provide data support for Henan Stock Exchange to practice green and low-carbon operations and participate in carbon trading.

(5) Highly integrated and open compatible:

The system has strong third-party device and system access capabilities, which can be integrated with the charging station operation platformPV inverter、 Seamless integration of BMS (Battery Management System), substation comprehensive automation, etc., eliminates information silos.

Project Overview:A certain high-speed service area is equipped with 500kWp rooftop photovoltaics, 500kWh/250kW energy storage systems, 20 fast and slow charging piles, as well as complex commercial, lighting, and ventilation loads.

For the Henan Jiaotou project, the Ankerui EMS3.0 solution can achieve the following specific values:

(1) Economic benefits improvement:

● Reduce comprehensive electricity costs: Through peak valley arbitrage and demand management, it is expected to reduce electricity expenses by 10% -25%.

● Improve photovoltaic revenue: Increase the proportion of photovoltaic self use to over 80% and reduce dependence on surplus electricity for grid connection.

● Delaying the expansion of the distribution network: By using energy storage and demand side response, smoothing peak loads and reducing the demand for grid expansion.

(2) Upgrade of Operations Management:

● Implement unmanned/few person on duty: remotely monitor the energy systems of each site to reduce maintenance labor costs.

Preventive operation and maintenance: Based on data anomaly warning, detect equipment hazards in advance, and transform "passive repair" into "active maintenance".

Assist in scientific decision-making: Provide detailed energy data reports and analysis conclusions to provide a basis for facility renovation and energy planning.

(3) Social and environmental benefits:

● Enhance green image: Build demonstration projects such as "zero carbon service areas" and "green tunnels" to demonstrate the social responsibility of state-owned enterprises.

● Promote the development of new energy vehicles: intelligently dispatch charging loads to ensure charging services while avoiding impact on the power grid.

Supporting grid stability: As a controllable flexible resource, it can respond to grid scheduling and participate in demand side response when necessary.

(4) Implementation effect of EMS3.0:

Daily operation mode: During the day, photovoltaic power generation prioritizes meeting the electricity needs of the service area, and excess electricity is used to charge energy storage or supply charging stations; Nighttime energy storage discharge meets partial load and significantly reduces the purchase of mains electricity.

● Demand control mode: The system monitors the total load of the transformer in real time. When it is predicted that the set demand threshold will be exceeded, it automatically starts energy storage discharge or briefly adjusts the charging pile power and air conditioning temperature settings to ensure peak demand is controlled.

Emergency support mode: When the mains power fails, the system can quickly and seamlessly switch to the energy storage island operation mode to provide emergency power for critical loads.

● Operation Dashboard: Management personnel can view real-time panoramic data on the service area's "issuance, use, storage, and charging", electricity cost savings, carbon emissions reduction, and other key indicators through a computer or mobile app.

(Note: Actual data needs to be calculated and filled in according to the specific situation of the project)