Exploiting the Benefits of P2P Energy Exchanges in Resilience Enhancement of Distribution Networks
As the adoption of distributed energy resources grows, power systems are becoming increasingly complex and vulnerable to disruptions, such as natural disasters and cyber-physical threats. Peer-to-peer (P2P) energy markets offer a practical solution to enhance reliability and resilience during power outages while providing monetary and technical benefits to prosumers and consumers. This paper explores the advantages of P2P energy exchanges in active distribution networks using a double auction mechanism, focusing on improving system resilience during outages. Two pricing mechanisms distribution locational marginal price (DLMP) and average price mechanism are used to complement each other in facilitating efficient energy exchange. DLMP serves as a price signal that reflects network conditions and acts as an upper bound for bidding in the P2P market. Meanwhile, prosumers and consumers submit bids in the market and agree on energy transactions based on average transaction prices, ensuring fast matching and fair settlements. Simulation results indicate that during emergency operation modes, DLMP prices increase, leading to higher average transaction prices. Prosumers benefit from increased market clearing prices, while consumers experience uninterrupted electricity supply.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Cyber-Physical Vulnerability Assessment of P2P Energy Exchanges in Active Distribution Networks
Owing to the decreasing costs of distributed energy resources (DERs) as well as decarbonization policies, power systems are undergoing a modernization process. The large deployment of DERs together with internet of thing…
energy tradingA Review of Resilience Enhancement Measures for Hydrogen-penetrated Multi-energy Systems
Energy supply for electricity and heat sectors accounts for more than 40% of global carbon emissions in 2023, which brings great pressure for achieving net-zero carbon emission targets in the future. Under the above back…
AttributeLeveraging Error Resilience of Iterative Algorithms for Energy Efficiency: from Concept to Implementation
Iterative algorithms are widely used in digital signal processing applications. With the case study of radio astronomy calibration processing, this work contributes towards revealing and exploiting the intrinsic error re…
AstronomyA Multi-Objective Optimization Approach for Sustainable AI-Driven Entrepreneurship in Resilient Economies
The rapid advancement of artificial intelligence (AI) technologies presents both unprecedented opportunities and significant challenges for sustainable economic development. While AI offers transformative potential for a…
Graph-based Simulation Framework for Power Resilience Estimation and Enhancement
The increasing frequency of extreme weather events poses significant risks to power distribution systems, leading to widespread outages and severe economic and social consequences. This paper presents a novel simulation …