Low Carbon Oriented Market Mechanism And Reliability Improvement Of Multi Energy Systems
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Low-Carbon Oriented Market Mechanism and Reliability Improvement of Multi-energy Systems
The energy crisis has brought great challenges to the low-carbon and economic development of the energy system. To achieve net-zero emissions, energy systems can have an increasing penetration of renewable energy and a deep coupling of multiple energy sectors (i.e., electricity, gas, and heat). To deal with the increasing fluctuations of renewable energy in multi-energy systems, the market mechanism is an effective solution for the optimal allocation of resources. An optimal market design could stimulate different resources to actively assist the carbon reduction and reliability improvement of multi-energy systems. Therefore, research on low-carbon-oriented market design and optimal operation is expected to improve the reliability and sustainability of multi-energy systems. The objective of this Research Topic is to explore the latest advances in market design and reliability improvement technologies of multi-energy systems with a focus on low-carbon, reliability, and resilience. We have the following research goals: 1. Effective market mechanisms and interaction frameworks to support the operation of energy systems. 2. Advanced operation and control methods for flexible resources, such as traditional units, energy storage, electric vehicles, electric hydrogen production, etc. 3. Advanced planning strategies and portfolio management for flexible resources in multi-energy systems. 4. Advanced evaluation methods for flexibility, resilience, and carbon emissions of energy systems. 5. Effective applications of integrated demand response in energy systems with new technical and economic models. Original research and review articles in theoretical, methodological, or practical focuses, such as models, policies, algorithms, and applications, are all welcome. Research areas may include (but are not limited to) the following: • Low-carbon-oriented market mechanism • Interaction framework designs for flexible resources • Modeling and optimization technologies for multi-energy systems • Evaluation methods for the system resilience, flexibility, and carbon emissions • Operation, control, and planning methods of multi-energy systems • Applications of artificial intelligence technology in reliability improvement • Renewable energy prediction and integration
Low-Carbon Oriented Improvement Strategy for Flexibility and Resiliency of Multi-Energy Systems
Due to the inherent volatility and randomness, the increasing share of energy from renewable resources presents a challenge to the operation of multi-energy systems with heterogeneous energy carriers such as electricity, heat, hydrogen, etc. These factors will make the systems hard to adjust their supply and demand flexibly to maintain energy balance to ensure reliability. Further, this hinders the development of a low-carbon and economically viable energy system. By making full use of the synergistic interaction of generation, transmission, load demand, and energy storage, a three-fold approach focused on quantifying demand flexibility, evaluating supply capabilities, and enhancing resilience can unlock the flexibility potential across various sectors of new energy systems. This approach provides an effective means of facilitating the transition from conventional energy systems to low-carbon, clean-energy-oriented paradigms. However, huge challenges arising from renewable energy pose great obstacles to the aforementioned solution pathway. The main objectives of this Research Topic are： 1. Develop advanced carbon emission accounting and measurement techniques for emerging multi-energy systems 2. Design effective methods for predicting renewable electricity generation 3. Proposed efficient methods for quantitative assessment of uncertainty from renewables and loads 4. Put forward advanced evaluation, optimization, and planning strategies incorporating diverse flexibility resources 5. Design multifaceted market mechanisms and collaborative frameworks balancing economics and low carbon footprint 6. Develop operational control and resilience-enhancement techniques for distribution networks under large-scale distributed energy integration
Smart Robust Operation and Trading of Integrated Energy Systems with Low Pollution Goals
To mitigate two major environmental concerns of global warming and air pollution, renewable energies with uncertainty are increasingly deployed in power systems, which challenge the system's secure operation. A single system usually has limited adjusting ability. In contrast, integrated energy systems such as electricity-gas, electricity-traffic, electricity-heat, and transmission-distribution coordinated systems enhance the regulating ability of renewable energy accommodation and environmental protection. The operation of integrated energy systems will meet three essential requirements: low-pollution attribute, robustness, and cooperativity. However, the diversity of uncertainty conditions, the complementarity of new energy accommodation among systems, the conflict of interest between systems, and the dispatch autonomy of systems challenge the requirements mentioned above. The main goal of this Research Topic includes: 1. Propose more effective trading mechanisms or control strategies for carbon and air pollutant emissions. 2. Fully use complementary effects between electric power, natural gas, heat, hydrogen, and traffic systems. 3. Realize the coordinated operation of integrated energy systems with limited information interaction and ensured dispatch autonomy. 4. Improve the robustness of integrated energy systems under diversified uncertainty conditions. 5. Apply data-based reinforcement learning methods for the dynamic decision of smart integrated energy systems under complex environments.