With the widespread adoption of distributed renewable energy and electric vehicles, the power grid faces new challenges in ensuring stable and sustainable development. Concurrently, insufficient local consumption resulting from distributed generation also impacts the power grid's safe operation. Energy storage and demand response play an important role in this context by promoting flexible grid operation and low-carbon transition. Electric vehicles, beyond serving as mobile energy storage resources, contribute to the grid by offering Vehicle-to-Grid (V2G) services through optimized charging and discharging scheduling. Additionally, on-board batteries in electric vehicles provide energy storage functions for both home and business users.
In comparison to traditional loads, flexible loads can be efficiently managed through demand response to optimize consumption patterns to meet grid needs. Therefore, the collaborative dispatching of multi-modal energy storage integration technologies, such as batteries, pumped hydro storage, hydrogen storage, and distributed generators, alongside diverse demand-side flexible resources like flexible loads and electric vehicles, holds significant importance. The coordinated optimization of these distributed resources can effectively address the intermittency of variable renewable energies (VERs), encourage the adoption of flexible loads, and enhance the overall adaptability and carbon emission reduction efforts of the power system.
The main objectives of this Research Topic are:
1. Applying advanced optimization and/or data-driven methods for single/joint scheduling of flexibility portfolio;
2. Coordinating flexible storage, generation, load and EV resources to strengthen system operation;
3. Leveraging coordinated demand flexibility to improve power quality and carbon performance;
4. Mitigating impacts of VERs fluctuations through aggregated single/multi-modal storage and demand response;
5. Developing and demonstrating innovative coordination/market mechanisms and applications.
Topics to be covered include, but are not limited to:
1. Modeling and optimization of single/multi-modal storage-demand systems, such as distributed storage, electric vehicles and flexible load;
2. Technical and economic benefits assessments of coordinated flexibility solutions;
3. Planning and real-time operation of single/joint flexibility resource dispatch;
4. Coordination mechanisms and market design for single/joint flexibility resource;
5. Forecasting approaches for distributed storage, electric vehicles and flexible load;
6. Cybersecurity and resilience enhancement of single/multi-flexibility systems;
7. Applied research on field testing, pilot projects and business models;
8. Policy and regulatory frameworks for promoting flexibility resources development;
9. Future trends and emerging technologies on storage and demand-side integration.
With the widespread adoption of distributed renewable energy and electric vehicles, the power grid faces new challenges in ensuring stable and sustainable development. Concurrently, insufficient local consumption resulting from distributed generation also impacts the power grid's safe operation. Energy storage and demand response play an important role in this context by promoting flexible grid operation and low-carbon transition. Electric vehicles, beyond serving as mobile energy storage resources, contribute to the grid by offering Vehicle-to-Grid (V2G) services through optimized charging and discharging scheduling. Additionally, on-board batteries in electric vehicles provide energy storage functions for both home and business users.
In comparison to traditional loads, flexible loads can be efficiently managed through demand response to optimize consumption patterns to meet grid needs. Therefore, the collaborative dispatching of multi-modal energy storage integration technologies, such as batteries, pumped hydro storage, hydrogen storage, and distributed generators, alongside diverse demand-side flexible resources like flexible loads and electric vehicles, holds significant importance. The coordinated optimization of these distributed resources can effectively address the intermittency of variable renewable energies (VERs), encourage the adoption of flexible loads, and enhance the overall adaptability and carbon emission reduction efforts of the power system.
The main objectives of this Research Topic are:
1. Applying advanced optimization and/or data-driven methods for single/joint scheduling of flexibility portfolio;
2. Coordinating flexible storage, generation, load and EV resources to strengthen system operation;
3. Leveraging coordinated demand flexibility to improve power quality and carbon performance;
4. Mitigating impacts of VERs fluctuations through aggregated single/multi-modal storage and demand response;
5. Developing and demonstrating innovative coordination/market mechanisms and applications.
Topics to be covered include, but are not limited to:
1. Modeling and optimization of single/multi-modal storage-demand systems, such as distributed storage, electric vehicles and flexible load;
2. Technical and economic benefits assessments of coordinated flexibility solutions;
3. Planning and real-time operation of single/joint flexibility resource dispatch;
4. Coordination mechanisms and market design for single/joint flexibility resource;
5. Forecasting approaches for distributed storage, electric vehicles and flexible load;
6. Cybersecurity and resilience enhancement of single/multi-flexibility systems;
7. Applied research on field testing, pilot projects and business models;
8. Policy and regulatory frameworks for promoting flexibility resources development;
9. Future trends and emerging technologies on storage and demand-side integration.