Tang Xueyang

Ankerui Electric Co., Ltd. Shanghai Jiading 201801

1. Introduction

Energy storage photovoltaic power stations are a key path to solving the intermittent and unstable problems of renewable energy, which is of great significance for improving energy utilization efficiency, ensuring stable operation of the power grid, and promoting the transformation of green energy. With the iteration and cost reduction of photovoltaic technology, the proportion of photovoltaic power generation in the energy structure continues to increase. However, its output volatility and unpredictability still pose challenges to the safe and stable operation of the power grid. The optimization configuration of energy storage battery capacity and the coordinated control of photovoltaic storage systems have become current research hotspots. Scholars both domestically and internationally have conducted extensive research in this field, covering areas such as capacity configuration optimization and energy management strategies. However, existing studies mostly focus on system performance analysis under specific conditions, lacking exploration of adaptability to different scenarios. Additionally, there is insufficient research on multi group hybrid energy storage collaborative control mechanisms, neglecting practical technical limitations and cost factors, resulting in difficulties in efficiently implementing theoretical results. Therefore, this study focuses on optimizing and coordinating the capacity configuration of energy storage photovoltaic power stations. By analyzing the structural design, energy storage capacity configuration, and charging and discharging strategies of the photovoltaic power station, a reliability model of the power station is constructed. Key indicators such as power penetration rate and capacity penetration rate are introduced to compare the performance parameters of different types of energy storage batteries and propose scientific capacity optimization schemes; Simultaneously design multiple sets of coordinated control strategies for hybrid energy storage systems, achieve precise energy management through event triggered functions and regulation mechanisms, and enhance system operational stability. The research results can provide important references for the design and operation of energy storage photovoltaic power plants, and help promote the efficient consumption of renewable energy and the safe and stable operation of the power grid.

2、 Platform escort, efficient operation of optical storage

Based on the above research background and requirements, the capacity optimization configuration and coordinated control of energy storage photovoltaic power plants need to be implemented through efficient intelligent management carriers. The AcrelEMS 3.0 smart energy management platform has emerged as a core hub connecting theoretical research and engineering practice. This platform deeply integrates IoT, big data, cloud computing, and intelligent control technologies, enabling full chain monitoring, data collection, and intelligent control of energy storage photovoltaic power plants' photovoltaic units, energy storage units, power grids, and load units. It can not only accurately capture key data such as photovoltaic power generation output fluctuations, energy storage battery operation status, and load dynamic changes, but also provide real and effective data support for battery capacity optimization configuration. Through built-in collaborative control algorithms, it can implement refined adjustment strategies for multiple hybrid energy storage systems, dynamically allocate charging and discharging power, balance energy supply and demand, effectively reduce power fluctuations, improve system operation stability, and energy utilization efficiency. By relying on this platform, the optimization plan and coordinated control strategy for photovoltaic storage capacity can be transformed into intelligent operation and maintenance measures that can be implemented and controlled, solving the problems of traditional photovoltaic storage system management being extensive, response lagging, and data fragmentation. This provides technical support for the safe, efficient, and economical operation of energy storage photovoltaic power plants.

3、 Ankerui Smart Energy Management Platform

3.1 Ankerui Smart Energy Management Platform

AcrelEMS Smart Energy Management Platform is an energy efficiency management platform designed for enterprise microgrids. It provides real-time monitoring, intelligent prediction, dynamic allocation, strategy optimization, diagnostic alarms, and the ability to schedule orderly interaction between source and load, as well as energy panoramic analysis of distributed power sources, municipal power sources, energy storage systems, charging facilities, and various AC/DC loads in enterprise microgrids. It meets the needs of digital energy efficiency management, intelligent safety analysis, dynamic adjustment and control, and visualized panoramic analysis of enterprise microgrids. It achieves flexible interaction and economic operation between light storage and charging resources under different strategies, reduces energy costs for users, and improves the operational efficiency of microgrids. The AcrelEMS smart energy management platform can accept scheduling instructions and demand responses from virtual power plants, and is an enterprise level subsystem of the virtual power plant platform.

Figure 1: AcrelEMS Smart Energy Management Platform Main Interface

3.2 Platform Structure

The system covers all aspects of the enterprise microgrid, including source grid load storage charging. It collects data from measurement and control devices, photovoltaics, energy storage, charging piles, and conventional loads through an intelligent gateway. Based on load changes and grid scheduling, it optimizes control to promote the consumption of new energy while reducing the maximum demand on the grid, ensuring safe operation.

Figure 2 Structure of AcrelEMS Smart Energy Management Platform

3.3 Platform Functions

3.3.1. Digital Display of Energy

By displaying real-time data on mains electricity, photovoltaic, wind power, energy storage, charging piles, and other loads on a large screen, one can quickly understand the energy operation situation.

3.3.2. Optimization Control

Intuitively display energy production and flow, including mains electricity, photovoltaics, energy storage charging and consumption processes, improve new energy consumption through optimized control of energy storage and controllable loads, peak shaving and valley filling, smooth system output, and display a comparison of energy curves before and after optimization.

3.3.3. Intelligent prediction

Based on meteorological data and historical data, predict the power and load of photovoltaic and wind power generation, compare and analyze them with actual power, and optimize scheduling through energy storage systems and load control to reduce demand and electricity costs.

3.3.4. Energy consumption analysis

Collect the consumption of various energy media such as electricity, water, natural gas, and cold/heat in enterprises, compare them on a month on month basis, display energy flow, benchmark energy consumption, and convert them into standard coal or carbon emissions.

3.3.5. Orderly Charging

The system supports the connection of AC and DC charging stations, and controls them in conjunction with the enterprise load and transformer capacity, as well as the transformer load rate, to guide users to charge in an orderly manner and ensure the safe operation of the enterprise microgrid.

3.3.6. Operation and Maintenance Inspection

The system supports task management, inspection/defect/alarm/repair records, and notification work order management, and tracks the trajectory of operation and maintenance personnel through Beidou positioning to achieve closed-loop management of the operation and maintenance process.

3.4 Equipment selection

In addition to the smart energy management platform, it also has on-site sensors, intelligent gateways and other equipment, forming a complete "cloud edge end" energy digitalization system, including high and low voltage distribution comprehensive protection and monitoring products, power quality online monitoring devices, power quality governance, lighting control, charging piles, electrical fire protection solutions, etc. It can provide one-stop service capabilities for enterprise level energy management systems of virtual power plants.

The Ankerui system solution also includes power operation and maintenance cloud platform, energy comprehensive billing management platform, environmental protection electricity supervision cloud platform, charging pile operation management cloud platform, intelligent fire protection cloud platform, power monitoring system, microgrid energy management system, intelligent lighting control system, power quality governance system, electrical fire protection system, isolated power source insulation monitoring system and other system solutions, covering all aspects of enterprise microgrid, creating an accurate perception, edge intelligence, and intelligent operation of enterprise microgrid smart energy management system.

Conclusion

After in-depth research and analysis, this study has achieved significant results in optimizing the configuration and coordinated control of battery capacity in energy storage photovoltaic power plants. By constructing a reliability model for photovoltaic storage power stations that considers the uncertainty of photovoltaic power generation and dynamic changes in load demand, and introducing key indicators such as power penetration rate and capacity penetration rate, the stability of photovoltaic storage power stations was effectively evaluated. At the same time, a detailed comparison of performance parameters for different types of energy storage batteries was conducted, and a scientifically reasonable capacity optimization configuration scheme was proposed. In addition, a coordinated control strategy for multiple hybrid energy storage systems was designed, which achieved energy management and system stability improvement through event triggered functions and regulation mechanisms. These research results not only provide practical guidance for the design and operation of energy storage photovoltaic power plants, but also lay a solid foundation for the widespread application and sustainable development of renewable energy in the energy system. Based on the actual situation, more technical limitations and cost factors need to be considered in the future, and how to balance economy and technology to achieve configuration still needs further research.