Core Insights - Jiangsu province has set a new record for electricity load, reaching 152 million kilowatts, marking the third historical high this year, with expectations for further increases due to upcoming high temperatures [1][2] Group 1: Electricity Load and Supply - The highest electricity load in Jiangsu is projected to reach 153 million kilowatts this summer, a 4% increase from 2024's forecast of 147 million kilowatts [2] - Coal power remains a critical component of Jiangsu's energy structure, with new coal power projects contributing significantly to the energy supply [2][3] - The province has successfully integrated various cross-regional power transmission projects, allowing for a maximum external power supply of 3,700 megawatts [3] Group 2: Renewable Energy and Storage Solutions - As of May 29, Jiangsu's installed renewable energy capacity has surpassed 101 million kilowatts, accounting for 46% of the total power generation capacity [4][6] - The province is addressing the intermittency of renewable energy through a diversified energy storage matrix, with significant contributions from large-scale storage facilities [4][5] - The total installed capacity of new energy storage in Jiangsu is 761.6 megawatts, ranking fourth in the country [6] Group 3: Demand Response and Virtual Power Plants - Jiangsu is leveraging technology to activate demand-side flexibility, encouraging households to adjust their power usage during peak times [7][8] - The province has initiated the construction of a million-kilowatt-level virtual power plant, integrating large-capacity smart appliances into a cloud-based energy pool [8] - The virtual power plant allows users to participate in demand response programs, providing them with financial incentives while enhancing the efficiency of renewable energy utilization [8]

Core Viewpoint - The document emphasizes the need for proactive planning and upgrading of the power grid to accommodate large-capacity charging facilities, integrating renewable energy sources like solar power and energy storage systems [1] Group 1: Policy Recommendations - The National Development and Reform Commission and three other departments have issued guidelines to promote the scientific planning and construction of large-capacity charging facilities [1] - Electric grid companies are encouraged to conduct research on the impact of large-capacity charging loads on regional distribution systems and to assess the grid's capacity for integrating these facilities [1] - There is a push for the integration of large-capacity charging facility layout planning with distribution network planning, advocating for timely upgrades and construction of the power grid [1] Group 2: Infrastructure Development - The guidelines support the creation of intelligent and orderly large-capacity charging stations, establishing efficient interaction mechanisms between these stations and the distribution network [1] - It is recommended to build solar power generation and energy storage facilities in a manner that is tailored to local conditions [1] - The document suggests exploring methods to optimize the power access capacity for intelligent large-capacity charging stations, utilizing the distribution network's off-peak capacity effectively [1] Group 3: Market Participation - Charging operation companies are encouraged to engage in electricity market trading and demand response through the adoption of new load management systems [1] - The guidelines highlight the importance of using price signals to promote the high-level consumption of clean energy by electric vehicles [1]

Core Viewpoint - Zhejiang's power grid enters a three-month peak summer period, with a projected maximum electricity load of 133 million kilowatts, representing a year-on-year increase of 7.8% and an addition of 10 million kilowatts compared to last year, indicating a tightening power supply-demand situation [1] Group 1: Power Supply and Demand Management - To ensure stable power supply this summer, State Grid Zhejiang Electric Power focuses on enhancing load adjustment capabilities and incorporates new entities like virtual power plants into the demand response system [1] - The summer demand response subsidy for virtual power plants has shifted from a "single" electricity subsidy to a "two-part" subsidy model, which includes both capacity and electricity subsidies, with significantly improved subsidy standards [6] Group 2: Virtual Power Plant Initiatives - Virtual power plants will expand their market participation in system regulation, introducing a market-based response model that allows for formal demand determination two days in advance based on system operations and supply-demand conditions [6] - Capacity subsidies for virtual power plants are set at 1 yuan per kilowatt per month for those with a total adjustment capacity of no less than 5 megawatts, while electricity subsidies vary based on demand response levels, with the highest (A+ level) reaching 1.3 times the base price [6] Group 3: Local Government Support - Local governments are implementing various demand response subsidy policies to create new revenue opportunities for virtual power plants and their aggregated resources, such as additional city-level fixed subsidies in places like Quzhou and Ningbo [7] - The establishment of over 1,300 "government + power supply" micro-grid units has facilitated the engagement of over 58,000 enterprises to optimize their electricity usage strategies [8]

Core Viewpoint - The article discusses the implementation details of the "Hainan Province Electricity Demand Response Implementation Rules," highlighting the participation of various entities, including virtual power plants and energy storage facilities, in demand response programs to enhance electricity system flexibility and stability [1][11]. Group 1: Market Participants - The demand response market participants include three categories: grid enterprises, market operation organizations, and operating entities. Grid enterprises refer to Hainan Electric Power Co., Ltd. and local power supply companies, while market operation organizations include electricity load management centers and trading centers [1][13]. - Operating entities consist of electricity users, load aggregators, and virtual power plants [1][13]. Group 2: Demand Response Resources - Demand response resources encompass various electricity loads from industrial production, centralized and decentralized air conditioning systems, ice storage, energy storage facilities, and smart electricity facilities like electric vehicle charging stations [2][17]. - Projects with high energy consumption are encouraged to register and participate in demand response [2][17]. Group 3: Virtual Power Plant Admission Criteria - Virtual power plants must have legal status, independent financial accounting, good credit, and the ability to bear civil liability. They can aggregate and coordinate adjustable loads, new energy storage, distributed power sources, and electric vehicles [3][8]. - The total adjustable capacity of a virtual power plant should not be less than 1,000 kW [3][8]. Group 4: Compensation Standards - The compensation for demand response varies by type, with fixed compensation prices set at 1.0 yuan/kWh for agreed peak shaving responses and 0.3 yuan/kW/month for standby capacity [5][23]. - For pre-invited peak shaving responses, the compensation price can reach up to 1.5 yuan/kWh, while emergency responses can go up to 2 yuan/kWh [6][23]. Group 5: Implementation Procedures - The demand response execution process includes response initiation, invitation confirmation, execution, monitoring, evaluation, and fund distribution [11][24]. - The initiation conditions for peak shaving responses require a power supply-demand balance gap, while valley filling responses are initiated when the load level is low [24][25]. Group 6: Evaluation and Settlement - The evaluation of demand response effectiveness is based on the difference between baseline load and actual measured load, with specific calculations for peak shaving and valley filling responses [36][37]. - Compensation funds are distributed transparently, with the grid enterprise responsible for calculating and distributing compensation based on participation results [41][43].