随着分布式清洁能源发电技术的发展,传统电力用户逐渐转变为电能产消者,并可采用合作联盟形式参与电力P2P(peer to peer)交易,促进分布式清洁能源就地消纳。该文通过从源端和传输端分别核算碳减排量的方法,构建一类考虑经济效益和环境...随着分布式清洁能源发电技术的发展,传统电力用户逐渐转变为电能产消者,并可采用合作联盟形式参与电力P2P(peer to peer)交易,促进分布式清洁能源就地消纳。该文通过从源端和传输端分别核算碳减排量的方法,构建一类考虑经济效益和环境效益的社会福利函数,研究分布式电能产消者通过合作联盟形式实现社会福利最大化的途径。设计一种依据产消者对联盟社会福利贡献值分配合作剩余的机制,激励产消者合作的积极性以维持联盟的稳定。算例分析表明:相较于P2G(peer-to-grid)交易和非合作P2P交易,产消者以合作联盟方式参与电力P2P交易的社会福利分别提升了62.62%、33.79%。因此,以市场化的方式组建合作联盟参与电力P2P交易并合理分配利益,可挖掘分布式清洁能源就地消纳的潜力,促进能源消费的绿色低碳转型。展开更多
以新能源为主体的电力系统需要灵活性调节资源的支撑,而市场化交易发展不足限制了需求响应灵活调节能力的充分发挥,为此国家出台相关政策积极推进分布式发电市场化交易。在端对端(peer-to-peer,P2P)能源共享市场中,明确需求侧响应意愿...以新能源为主体的电力系统需要灵活性调节资源的支撑,而市场化交易发展不足限制了需求响应灵活调节能力的充分发挥,为此国家出台相关政策积极推进分布式发电市场化交易。在端对端(peer-to-peer,P2P)能源共享市场中,明确需求侧响应意愿与可调度容量,厘清意愿、行为和市场的交互关系,对市场的需求响应策略实施和分布式能量平衡具有重要的意义。在此背景下,提出P2P能源市场下考虑响应意愿动态调整的电动汽车群需求响应策略,基于充放电行为建立了响应意愿量化模型,以表征充放电价格和电池荷电状态(state of charge,SOC)的影响。采用三角隶属度函数描述意愿的不确定程度。P2P市场交易决策分为定量和定价两阶段,定量阶段在考虑响应意愿影响的基础上,建立市场利益最大化的模糊机会约束规划模型,定价阶段根据价格对意愿的影响,提出改进市场中间价(mid-market rate,MMR)定价方法确定市场收益分配机制。考虑光伏出力波动的影响,利用信息间隙决策理论(information gap decision theory,IGDT)建立需求响应策略鲁棒模型。算例分析表明,考虑意愿动态调整的需求响应策略能够合理调用电动汽车群响应能力,提高可调度容量利用率和市场参与者经济利益,促进光伏就近消纳。展开更多
Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received pa...Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received packet is retransmitted once by every node.The naive flooding technique,floods the network with query messages,while the random walk technique operates by contacting the subsets of every node’s neighbors at each step,thereby restricting the search space.One of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried resource.Many earlier works have mainly focused on the simulation-based analysis of flooding,and its variants under a wired network.Although,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of P2P systems running over MANET.In this paper,we describe how P2P resource discovery protocols perform badly over MANETs.To address the limitations,we propose a new protocol named ABRW(Address Broadcast Random Walk),which is a lightweight search approach,designed considering the underlay topology aimed to better suit the unstructured architecture.We provide the mathematical model,measuring the performance of our proposed search scheme with different widely popular benchmarked search techniques.Further,we also derive three relevant search performance metrics,i.e.,mean no.of steps needed to find a resource,the probability of finding a resource,and the mean no.of message overhead.We validated the analytical expressions through simulations.The simulation results closely matched with our analyticalmodel,justifying our findings.Our proposed search algorithm under such highly dynamic self-evolving networks performed better,as it reduced the search latency,decreased the overall message overhead,and still equally had a good success rate.展开更多
文摘随着分布式清洁能源发电技术的发展,传统电力用户逐渐转变为电能产消者,并可采用合作联盟形式参与电力P2P(peer to peer)交易,促进分布式清洁能源就地消纳。该文通过从源端和传输端分别核算碳减排量的方法,构建一类考虑经济效益和环境效益的社会福利函数,研究分布式电能产消者通过合作联盟形式实现社会福利最大化的途径。设计一种依据产消者对联盟社会福利贡献值分配合作剩余的机制,激励产消者合作的积极性以维持联盟的稳定。算例分析表明:相较于P2G(peer-to-grid)交易和非合作P2P交易,产消者以合作联盟方式参与电力P2P交易的社会福利分别提升了62.62%、33.79%。因此,以市场化的方式组建合作联盟参与电力P2P交易并合理分配利益,可挖掘分布式清洁能源就地消纳的潜力,促进能源消费的绿色低碳转型。
文摘以新能源为主体的电力系统需要灵活性调节资源的支撑,而市场化交易发展不足限制了需求响应灵活调节能力的充分发挥,为此国家出台相关政策积极推进分布式发电市场化交易。在端对端(peer-to-peer,P2P)能源共享市场中,明确需求侧响应意愿与可调度容量,厘清意愿、行为和市场的交互关系,对市场的需求响应策略实施和分布式能量平衡具有重要的意义。在此背景下,提出P2P能源市场下考虑响应意愿动态调整的电动汽车群需求响应策略,基于充放电行为建立了响应意愿量化模型,以表征充放电价格和电池荷电状态(state of charge,SOC)的影响。采用三角隶属度函数描述意愿的不确定程度。P2P市场交易决策分为定量和定价两阶段,定量阶段在考虑响应意愿影响的基础上,建立市场利益最大化的模糊机会约束规划模型,定价阶段根据价格对意愿的影响,提出改进市场中间价(mid-market rate,MMR)定价方法确定市场收益分配机制。考虑光伏出力波动的影响,利用信息间隙决策理论(information gap decision theory,IGDT)建立需求响应策略鲁棒模型。算例分析表明,考虑意愿动态调整的需求响应策略能够合理调用电动汽车群响应能力,提高可调度容量利用率和市场参与者经济利益,促进光伏就近消纳。
文摘Broadcasting is a basic technique in Mobile ad-hoc network(MANET),and it refers to sending a packet from one node to every other node within the transmission range.Flooding is a type of broadcast where the received packet is retransmitted once by every node.The naive flooding technique,floods the network with query messages,while the random walk technique operates by contacting the subsets of every node’s neighbors at each step,thereby restricting the search space.One of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried resource.Many earlier works have mainly focused on the simulation-based analysis of flooding,and its variants under a wired network.Although,there have been some empirical studies in peer-to-peer(P2P)networks,the analytical results are still lacking,especially in the context of P2P systems running over MANET.In this paper,we describe how P2P resource discovery protocols perform badly over MANETs.To address the limitations,we propose a new protocol named ABRW(Address Broadcast Random Walk),which is a lightweight search approach,designed considering the underlay topology aimed to better suit the unstructured architecture.We provide the mathematical model,measuring the performance of our proposed search scheme with different widely popular benchmarked search techniques.Further,we also derive three relevant search performance metrics,i.e.,mean no.of steps needed to find a resource,the probability of finding a resource,and the mean no.of message overhead.We validated the analytical expressions through simulations.The simulation results closely matched with our analyticalmodel,justifying our findings.Our proposed search algorithm under such highly dynamic self-evolving networks performed better,as it reduced the search latency,decreased the overall message overhead,and still equally had a good success rate.
