Energy-saving and emission-reducing green power, visually creating a smart virtual power plant

Foreword

Due to the tight power supply and demand, Guangdong integrated power generation resources in the province and strengthened primary energy fuel monitoring and early warning. Through digital and smart grid technology, Zhejiang has formed a 10 million kilowatt “virtual power plant” within 12,000 household electricity companies, which can intelligently control load at any time and mobilize companies to actively participate in peak reduction and valley filling.

effect display

Taking Shanghai’s commercial virtual power plant as an example, through Tupu’s HT visualization and integration of the data of each DG, six aspects of “virtual The operation process of “power plant”.

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Distributed Generation (DG)

Distributed Energy Resource (DER)

The virtual power plant aggregates different types of distributed energy sources such as DG, energy storage systems, controllable loads, electric vehicles, etc. through coordinated control, smart metering, and information and communication technologies, and realizes coordinated and optimized operation among multiple DERs through a higher-level software architecture , To achieve the advantages of resource allocation and use, and as a special power plant to participate in the power market and power grid operation power coordination management system.

With the help of Tupu's HT for Web product, it can effectively carry out data fusion, aggregate scattered DERs into a visualization system for unified management, and provide rich display forms and effects through the Web. The visual coordinated control of the “virtual power plant” reduces the impact of the previous DER grid connection on the public network, reduces the scheduling difficulty caused by the growth of DG, makes the power distribution management more reasonable and orderly, and improves the stability of the system operation.

system analysis

Commercial virtual power plant is a virtual power plant considered from the perspective of commercial benefits, and is a flexible expression of DER's investment portfolio. Based on user demand, load forecast and power generation potential forecast, power generation plans can be formulated and market bids can be participated. In the local network, DER operating parameters, power generation plans, market bidding and other information are provided by commercial virtual power plants.

capacity index

Separate statistics on the number of registered virtual power plants, the number of registered generators, the registered power generation units, and the rated installed capacity of distributed energy sources in the region, which is helpful for managers to predict load and power generation potential, and control DER to execute power generation plans.

operating mode

Register the control capability monitoring of the virtual power plant, access real-time data of peak cutting and valley filling, and judge the control capability. Real-time comparison of grid-supply load and grid-connected load to determine the power supply capacity of the virtual power plant. Distributed power generation systems mostly adopt small and medium-sized modular equipment with advanced performance, which can quickly start and stop, convenient maintenance and management, flexible adjustment, and each power source is relatively independent, which can quickly meet the power supply needs.

The graphs of total power generation, total power consumption, power generation and power consumption load are effective indicators to understand the results of power regulation in this city. Managers can control strategies based on the chart. Response deviation rate, response completion rate, and unit ramp rate data can be used as evaluation indicators for virtual power plants and individual DGs. DGs with slower response speeds can be phased out to establish distributed energy sources with faster response speeds.

Power generation unit type distribution

Tupu Software provides solutions for building advanced 2D data visualization. Based on the self-developed HT for Web graphics engine, it can quickly build real-time data-driven charts in the "virtual power plant", providing rich visualization forms and effects. The histogram and scatter diagram are used to separately calculate the distribution of DG, energy storage system, controllable load, etc. In load-intensive areas such as urban areas, it is necessary to form a virtual power plant with controllable loads as a system backup or reduce peak power consumption; in rural or suburban areas, large-scale DG, energy storage, etc., form a virtual power plant to achieve stable and continuous power supply to the system .

Resource Management

Aggregating diversified DERs to realize the high-requirement power output of the system is the focus and difficulty of the coordinated control of virtual power plants. In fact, some renewable energy power stations (such as wind power stations and photovoltaic power stations) have the characteristics of intermittent or randomness and prediction errors. Therefore, the impact of uncertainty must be considered when they are connected to the grid on a large scale. This requires energy storage systems, distributable generator sets, and controllable loads to cooperate reasonably with them to ensure power quality and improve power generation economy.

Comprehensive analysis

each virtual power plant

The higher the ranking indicates that the virtual power plant has stronger control ability and faster response speed, and relevant departments can focus on it when bidding.

Registered regulatory capacity accounted for

Peak shaving data and valley filling data percentage statistics to understand the strength of each virtual power plant. China is a typical country where the load center and power generation center are not in harmony. The southeast region has developed economy and is the load center, but lacks coal, light, and wind; the economy of the northwest and southwest is relatively backward, but there is more coal, more water, and more wind. A lot of light. This inconsistency determines that China's clean energy utilization can only hope to build dozens of super-large clean energy power generation centers, and then transport them to the Southeast Load Center through UHV channels (DC or AC).

Capacity accounted for

The radar chart is used to represent the data of the registration and regulation of generator sets in various industries and the registration and regulation of each power generation unit category, and distinguish the percentages of different DERs that execute power generation plans in different time periods.

accounted for the number of

Calculate and aggregate the proportions of different types of distributed energy sources such as DG, energy storage systems, controllable loads, electric vehicles, etc., predict power generation potential, and formulate power generation plans in an orderly manner.

Partition information

As an indispensable part of the power system, the substation transforms voltage and current, receives and distributes electric energy. The substations marked on the big screen of Tupu visualization are mainly four types of substations of 110kV and below, including Tingwei Substation, Yuandong Substation, Huangdu Substation, Liantang Substation and other substations in different areas of Shanghai. Click the name of the substation to display peak shaving, Fill the valley data. Realize the data visualization requirements of cross-platform (desktop Mouse/mobile Touch/virtual reality VR) and cross-regional management of "virtual power plant" through HT.

Management overview

Grid loads mainly include rigid loads and flexible loads. Among them, the rigid load is the load that the user must meet in life and work, and cannot accept the regulation of the power grid, and the degree of control is very low. Generalized flexible load includes both elastic load (reduced load), adjustable load (load aggregator), transferable load, and source load (energy storage, electric vehicle).

Collect data on the number of power generation units of uncontrollable distributed energy, energy storage, controllable energy, and controllable load, and the proportion of power generation capacity to determine the user's demand for grid load at different times, allowing users to schedule work in advance through time-of-use electricity prices Time to reduce peak power consumption.

The statistics of the percentage of capacity and the percentage of quantity facilitate the determination of the capacity of small power generation devices in peak shaving, power supply for remote users, commercial areas and residential areas. Distributed power supply can greatly improve the reliability of power supply, and can maintain the power supply of important users in the event of grid collapse and accidental disasters (such as earthquakes, snowstorms, and man-made damage).

Resource registration

Virtual power plant specific information

Tupu Software focuses on the visual application field of industrial Internet monitoring, operation and maintenance, and facilitates the management of distributed energy by connecting to the multi-channel video of DER. Distributed power generation systems mainly include: combined heat and power (CHP) and micro heat and power, fuel cells, solar power, wind power, Stirling engines, reciprocating engines, diesel engines, gasoline engines, etc.

Energy saving effect

One of the main reasons for the large power consumption in my country is the low energy efficiency of industrial equipment and household appliances, which can monitor flexible and controllable loads such as central air-conditioning and electric vehicles in real time. Statistics on power saving, average daily power saving, energy-saving rate of final precision air-conditioning, overall energy-saving rate of the computer room, and unit load data to reduce the frequency of use of high-energy-consuming equipment.

virtual power plant audit management

Huge virtual power plant data is aggregated in batches in the Tupu visualization system. HT for Web can withstand tens of thousands or even 100,000 levels of data. Different types of virtual power plants have different focuses. There are power plants that aim to achieve reliable grid connection and power market operation of DG. DG occupies the main component of DER; there are power plants that are developed based on demand response plans and take into account the use of renewable energy. Controllable load occupies the main component. During the review, a virtual power plant suitable for the local area should be selected according to the energy distribution.

generating unit management

Each power generation unit is connected to real-time data for monitoring, avoiding the shutdown of important equipment caused by insufficient power generation, and ensuring the continuity and stability of power supply.

Real-time status monitoring

Smart metering technology is an important part of the virtual power plant, and it is an important foundation for the virtual power plant to monitor and control DG and controllable loads. The most basic function of the smart metering system is to automatically measure and read the consumption or production of electricity, gas, heat, and water in the user's house, that is, automatic meter reading (Automated Meter Reading, AMR), so as to provide power for the virtual power plant And real-time information on the demand side. As the development of AMR, automatic metering management and advanced metering systems can remotely measure real-time user information, manage data reasonably, and send it to relevant parties.

Through HT visualized 2D panel and chart data binding, as well as using different styles of chart statistical methods to display the ranking of industrial enterprises in different districts and counties, the ranking of industrial enterprises' potential, and the ranking of industrial enterprises' measured load, it can distinguish the local electricity consumers. It is the main customer of the virtual power plant.

Monitor real-time load, power generation load factor, adjustable load, main transformer capacity, generator set, power generation unit, automatically adjust and optimize response quality around user and system requirements, reduce investment in power supply and grid construction, and create a good and comfortable living environment At the same time, achieve a win-win situation for users and systems, technology and business models.

load forecast

Add the power consumed by industry, agriculture, post and telecommunications, transportation, municipal administration, commerce, and urban and rural residents to obtain the comprehensive power load of the power system. The load changes randomly. Whenever the electrical equipment starts or stops, there will be a corresponding load change. To a certain extent, it can be found that there is a certain regularity, which can be predicted according to the law.

data query

The quantity statistics of uncontrollable DG, controllable DG, energy storage, and controllable load, combined with commercial virtual power plant network information (topology, restriction conditions, etc.), facilitates the technical virtual power plant to calculate the contribution that each DER in the local system can make. Form a technical virtual power plant cost and operating characteristics.

Multi-dimensional load forecasting

The power generation load and the electricity load are at the two ends of the balance, and a balance needs to be maintained to protect the interests of both parties. The historical data query of generator sets and virtual power plants allows managers to understand the changes in supply and demand in different periods and conduct effective control. The query interface uses an event mechanism to update the interface locally, avoiding the FPS game mode, and performing too many meaningless interface refreshes to avoid problems such as desktop freezes and hot phones.

Power generation task management

The virtual power plant adopts two-way communication technology, which can not only receive the current status information of each unit, but also send control signals to the control target. The communication technologies used in virtual power plants are mainly Internet-based technologies, such as Internet protocol-based services, virtual private networks, power line carrier technologies, and wireless technologies (such as Global System for Mobile Communications/Universal Packet Radio Service Technology (USM/UPRS)) Wait).

Price signal

The real-time electricity price and time-of-use electricity price should be set according to the components of renewable energy in the virtual power plant. At the same time, it is stipulated that renewable energy power generation should be connected to the grid as much as possible, and the current time-of-use electricity price method should be further improved to encourage and promote electricity consumption. Users can save electricity and DG generate electricity during peak hours.

The radar chart is used to allocate the planned load of the virtual power plant, and the planned power generation load is clearly defined.

Excitation signal

Time axis setting

Certain preferential measures can be adopted for electricity prices during high water periods, and the notification period and the time of the activity period can be determined based on historical data, and the activities can be carried out in an orderly manner.

Regulation mode setting

Load adjustment mode and control mode statistics, short-term and long-term demand response event management, can reduce the difference between the maximum load and the minimum load, and make the load curve graph flat. Reasonably and plannedly arranging the power consumption time of various users is conducive to making full use of the capacity of power generation and power supply equipment (main transformer, etc.), and improving the economic efficiency of system operation.

Power generation task traceability

By tracing back, it can be judged that summer and winter are the peak periods of load. At this time, if a gas turbine fueled by natural gas is used, a combined cooling, heating, and power supply system can not only solve the cooling needs in summer and heating in winter, but also Part of the electricity is provided, which can cut peaks and fill valleys for the grid. In addition, the problem of excessive peak-to-valley difference in natural gas supply is partially solved, and the complementary role of natural gas and electricity is played.

motivational information

Information on load control, orderly power usage, emergency demand response, demand-side bidding, capacity/ancillary services, etc. can be traced based on the year. The line graph and area graph show the comparison between the measured load and the predicted load in a week, helping forecasters to correct the accuracy of the data.

Power traceability can quickly search for the actual power supply path of an important power supply device, and combine it with visual display methods to display it in a clear and intuitive manner, so that grid personnel can quickly sort out the power supply channels of each important load in the power grid. The formation of power protection channels and equipment sets provides strong technical support for the power supply guarantee tasks of important loads, and can also help grid dispatchers to grasp the grid structure more comprehensively and quickly, and provide technical guarantee for the safe and stable operation of the grid.

demand response details

Demand response refers to when the price of the electricity market is significantly increased (decreased) or the safety and reliability of the system is at risk, electricity users change their electricity consumption behavior and reduce (increase) electricity consumption according to price signals or incentive measures. The radar chart shows the ratio of response speed, response completion rate, response deviation rate, etc. At the same time, the name and type of specific events are displayed, which is conducive to the statistics of major events.

The proportion of the capacity of virtual power plants and generator sets in demand response shows their response speed and is an important part of the assessment of operation and maintenance personnel.

Participating in the virtual power plant list

The various resources of the virtual power plant (compared to traditional demand response, new distributed energy sources are added) automatically receive demand response signals, control and adjust power consumption through its own energy management system, and automatically report the demand response results. Enable demand response to achieve rapid, efficient and accurate real-time dynamic regulation of power, which can effectively solve the huge uncertainty caused by renewable energy power generation on the power supply side. The list can display virtual power plants with strong responsiveness.

The preview event curve dynamically displays the load changes in the notification period, ramp period, activity period, recovery period, recovery period, and end period, which is more intuitive. Through the time axis setting, understand the elapsed time of each period as the basis for the next operation.

orderly electricity usage details

The event information shows the preparation phase, execution phase, recovery phase, and settlement phase of the incident. For a certain incident, the target control load, target control power, actual control load, actual control power, event revenue, start time, and end can be recorded. time. Clarify the processing flow and required load of such incidents as a plan for subsequent processing of such incidents.

In view of different accidental and inevitable events, the proportion of the number of generators, the proportion of virtual power plants' control capacity, the list of participating virtual power plants, and the proportion of the load can be calculated to analyze whether the entire power system is stable.

Operation effect decision

technical parameter assessment

The geographical information of distributed energy in the virtual power plant is clear and easy to manage. The virtual power plant operation system can monitor the load changes of specific equipment that customers participate in demand response, and the granularity of load management is more refined and the response is faster.

Virtual power plant technical parameter assessment

The virtual power plant starts from the demand side response, sets up revenue incentives based on the difference of technical parameters, innovates the transaction mechanism, and creates a new power load dispatch mode. According to the climbing time, the number of participating units, the number of online units, the climbing speed, the response amount, the completion time, the power deviation, the load deviation, the target control load, and the actual control load are unified management.

release unit type ranking

Various forms of energy such as solar energy utilization, wind energy utilization, fuel cell, gas-fired cooling, heating, electricity trigeneration, gas fuel and other forms of energy are ranked according to the power load, and high-quality energy is selected.

Deviation rate assessment

Tupu’s HT visualization system can query the climbing speed, response amount, completion time, power deviation, load deviation, target control load, and actual control load data according to the event name, power plant name, date, and year name. The electrical load is well documented.

summary

The most attractive function of the virtual power plant is that it can aggregate DERs to participate in the operation of the electricity market and ancillary service market, and provide management and ancillary services for the distribution network and transmission grid. The solution of the "virtual power plant" has great market potential in China, and it is undoubtedly a good choice for China, which is facing the "contradiction of power shortage and low energy efficiency".

Although the virtual power plant has undergone DER aggregation, the current energy storage is basically configured on the "source" side and the "network" side. In order to maximize the use of clean power, smooth the "intermittent and volatility" of clean power, and stabilize power supply, energy storage has become the key to solving the problem. The traditional "source network load" power system will thus become a "source network load storage" power system.

For more industry application examples, please refer to the case link of Software official website: 161a8add3b6e3f https://www.hightopo.com/demos/index.html