Shanghai launches comprehensive demand response of virtual power plants in the ubiquitous power Internet of Things scenario

China Energy Storage Network News: During the Labor Day holiday, State Grid Shanghai Electric took the lead in China to carry out a comprehensive response of virtual power plants in the ubiquitous power Internet of Things scenario. Various types of users, such as commercial building virtual power plant energy storage, integrated energy cloud platform, distributed energy use, ice storage, etc., participated in the joint efforts, from simply using electricity to a series of micro "virtual power plants". The maximum single load increase was 340,300 kilowatts, and the average valley load during the response period was 312,100 kilowatts, accounting for 3.35% of the total low-peak load of the nighttime power grid.

Five electric vehicles that were charging at full power in Ruihe Garden Community in Minhang District simultaneously reduced their charging power on the afternoon of April 28. At the same time, consumers who were dining at Shanghai Garden Grand Skylight Hotel in Xuhui District did not notice the two-degree rise in the air-conditioning temperature; the fresh air system in the home of Ms. Pan, an owner of Vanke Yoshimidi, who was out for leisure, was automatically shut down; the operating staff of the building in Yuanyang International Plaza in Huangpu District adjusted the operating hours and number of elevators according to actual conditions; the electrician of Xudong Die Casting Co., Ltd. in Baoshan District once again checked the equipment that had been automatically shut down according to the pre-agreed strategy...

During the Labor Day holiday, State Grid Shanghai Electric took the lead in the country to carry out the comprehensive response of virtual power plants under the ubiquitous power Internet of Things scenario. Various types of users such as commercial building virtual power plants, smart and orderly charging users, non-industrial flexible air conditioners, industrial automatic response, energy storage, comprehensive energy cloud platforms, distributed energy use, ice storage, etc. participated in the event. Through the reasonable allocation of their own energy, they have transformed from simply using electricity to becoming micro "virtual power plants".

It is reported that the State Grid Shanghai Electric Power carried out a pilot project of local precise peak-shaving response in six specific areas at 13:00 on the afternoon of April 28, reducing the regional load by an average of 15.06%. A large-scale "valley filling" response was carried out during the negative reserve period of the power grid from 3:00 to 6:00 in the morning of May 2, with a maximum load increase of 340,300 kilowatts at a time, and an average valley filling load of 312,100 kilowatts during the response period, accounting for 3.35% of the total valley load of the night power grid. Prior to this, the Shanghai Electric Power Demand Response Center organized and carried out the first annual bidding transaction of demand response in Shanghai on April 26.

In recent years, the load characteristics of the receiving end of the Shanghai power grid in megacities have become increasingly prominent, the peak-to-valley difference has been enlarged year by year, and the proportion of cooling load during peak hours has continued to increase. The concept of the virtual power plant is to make the power grid a hub and platform for the aggregation and sharing of adjustable resources on the user side, aggregate the adjustable power resources within each user into a controllable aggregate, and actively adjust according to the operation needs of the large power grid and its own situation, so as to achieve "demand elasticity, supply and demand coordination" and optimize the overall social resource utilization efficiency, and also provide better guarantees for the safe operation of Shanghai's urban power grid and the consumption of clean energy.

Zheng Qingrong, head of the Shanghai Electricity Demand Response Center, said, "Although the idle power load of a single user is not large, these idle power loads are just 'sand'. But now relying on our ubiquitous power Internet of Things construction achievements and advanced information and communication technologies, these 'sands' are gathered and utilized on a large scale, which is a huge treasure."

Different from the demand response carried out at the large power grid level and with fixed standard compensation methods in the past, this comprehensive demand response in the whole region is the first in China to carry out local precise demand response (with the minimum precise positioning to a 10 kV transformer); it is the first in China to introduce the notification advance coefficient in demand response bidding transactions, which better adapts to the needs of power grid operation, mobilizes the enthusiasm of users to participate, and further improves the marketization level of demand-side management. The ubiquitous power Internet of Things perception layer constructed by the city's load management terminals, energy controllers, energy routers, intelligent and orderly charging piles, user internal energy management systems, temperature sensors, flexible control terminals, etc.; the network layer constructed by load control wireless private networks, optical fiber private networks and mobile Internet; the platform layer constructed by the city's demand response platform and power load management system; jointly support the "source-grid-load" interaction of the whole process of full-chain interaction and automatic operation.

Keji Jingcheng Management Development Co., Ltd., which participated in this response, is a commercial building user located in Huangpu District. According to Yan Bin, the engineering manager of the user, "We used the existing air-conditioning resources of the building and realized flexible control of the air-conditioning load through the central air-conditioning interactive terminal. After we confirmed our participation in this operation, the entire process was automatically participated in. Even the air-conditioning temperature reduction strategy adopted at the end was operated autonomously by the terminal. Not only did we save effort and worry, but we also got subsidies. It is really a good thing that benefits both ourselves and others." It is worth mentioning that in addition to the subsidies obtained from transactions, users who participate in the virtual power plant's full-area comprehensive response can also obtain their own energy usage analysis, professional energy planning and self-service energy management, and easily realize intelligent energy hosting.

In Zhangjiang, Pudong, relying on the virtual power plant function of the "Smart City Energy Cloud Platform", a more efficient and intelligent local response was achieved through big data analysis and customer segmentation. Based on the global response requirements, the platform automatically screened out potential customers with peak load response capabilities in combination with the customer equipment load level and the historical response frequency of peak load reduction events in the designated area, published the response compensation price standards online, initiated invitations, and finally determined 57 customers to participate in the response.

This year's virtual power plant's comprehensive response is just a successful beginning. In the future, relying on the continuous construction and technological breakthroughs of the ubiquitous power Internet of Things, State Grid Shanghai Electric Power will further realize the interconnection of all links in demand-side management and the interaction between sources, grids and loads. Use information technology to promote intelligent and efficient interaction between supply and demand, further improve the demand-side mobile peak-shaving capacity and the marketization level of demand-side response, and help build a new era of symbiotic, co-construction, sharing and win-win smart city energy ecosystem.

Original title: State Grid Shanghai Electric Power carries out comprehensive demand response of virtual power plants in the ubiquitous power Internet of Things scenario