Optimization And Data Driven Approaches For Energy Storage Based Demand Response To Achieve Power System Flexibility


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Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility


Optimization and data-driven approaches for energy storage-based demand response to achieve power system flexibility

Author: Yue Xiang

language: en

Publisher: Frontiers Media SA

Release Date: 2025-07-31


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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.

Renewable Power System Optimization


Renewable Power System Optimization

Author: Jiajia Chen

language: en

Publisher: Springer Nature

Release Date: 2025-07-03


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This book investigates in detail renewable power system optimization (RPSO) technology, exploring its potential us to accommodate intermittent, random, and fluctuating renewable energy from the aspects of power supply side, power grid side, demand side and energy storage. RPSO delves into the interdisciplinary field of sustainable energy systems, offering a comprehensive exploration of methodologies and strategies to maximize the efficiency, reliability, and resilience of renewable power systems. Studies on RPSO have attracted engineers and scientists from various disciplines, such as electrical, computer, transportation, control and management science. The book integrates theoretical frameworks, computational techniques, and practical case studies, which caters to a diverse readers including researchers, engineers, policymakers, and graduate students specializing in renewable energy, electrical engineering, environmental science, and related disciplines. It is particularly beneficial for those seeking to enhance the efficiency, reliability, and resilience of renewable power systems in the face of evolving energy transition challenges.

Power System Operation and Optimization Considering High Penetration of Renewable Energy


Power System Operation and Optimization Considering High Penetration of Renewable Energy

Author: Shengyuan Liu

language: en

Publisher: Frontiers Media SA

Release Date: 2024-09-19


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The energy landscape is shifting toward renewable energy sources to mitigate climate change and reduce dependence on fossil fuels. The integration of renewable energy sources into the power grid presents various challenges, including uncertainty and variability of renewable energy sources, grid stability, and management of energy storage. Power system operation and optimization play a crucial role in managing the energy supply-demand balance, reducing operational costs, and improving the reliability of the power system. This call for papers aims to bring together the latest research and practical applications related to power system operation and optimization in the context of high penetration of renewable energy sources. We welcome contributions from researchers and practitioners from a broad range of disciplines to shed light on the challenges and opportunities associated with renewable energy integration in power systems. The objective of this Research Topic is to explore the latest advances in power system operation and optimization with a focus on the high penetration of renewable energy sources. We invite potential authors to submit articles for publication on the Research Topic of Frontiers in Energy Research on Power System Operation and Optimization Considering the High Penetration of Renewable Energy.