This paper proposes a voltage source converter (VSC) -based AC-DC hybrid distribution system (HDS) resilient model to mitigate power outages caused by wildfires. Before a wildfire happens, the public-safety power shut...This paper proposes a voltage source converter (VSC) -based AC-DC hybrid distribution system (HDS) resilient model to mitigate power outages caused by wildfires. Before a wildfire happens, the public-safety power shutoff (PSPS) strategy is applied to actively cut some vulnerable lines which may easily cause wildfires, and reinforce some lines that are connected to critical loads. To mitigate load shedding caused by active line disconnection in the PSPS strategy, network reconfiguration is applied before the wildfire occurrence. During the restoration period, repair crews (RCs) repair faulted lines, and network reconfiguration is also taken into consideration in the recovery strategy to pick up critical loads. Since there exists possible errors in the wildfire prediction, several different scenarios of wildfire occurrence have been taken into consideration, leading to the proposition of a stochastic multi-period resilient model for the VSC-based AC-DC HDS. To accelerate the computational performance, a progressive hedging algorithm has been applied to solve the stochastic model which can be written as a mixed-integer linear program. The proposed model is verified on a 106-bus AC-DC HDS under wildfire conditions, and the result shows the proposed model not only can improve the system resilience but also accelerate computational speed.展开更多
With the development of communication technology and distributed energy resources,trading of carbon emission rights and peer-to-peer energy transactions have become popular research directions on the end-user side.The...With the development of communication technology and distributed energy resources,trading of carbon emission rights and peer-to-peer energy transactions have become popular research directions on the end-user side.Therefore,a cap-andtrade emission framework with peer-to-peer energy trading is employed in this paper.The emission cap decomposition problem is solved under the circumstances of a multi-energy peer-topeer energy trading market.First,the multi-energy system is introduced in the peer-to-peer energy sharing model.The interaction between the prosumers and the system operator is defined.Then,the total emission cap,set by the operator,is modeled as a constraint.The decomposition of the emission cap is modeled as a cake-cutting game.Finally,the existence and uniqueness of the cake-cutting solution is proven by modeling the game to an equivalent monotone variational inequality problem.The complementary characteristics of multi energy in the market can ensure the utility of prosumers while reducing the total cap.展开更多
基金supported in part by National Key Research and Development Program of China(2022YFA1004600)in part by the National Natural Science Foundation of China(51977166,52277123)in part by the Natural Science Foundation of Shaanxi Province(2022JC-19)。
文摘This paper proposes a voltage source converter (VSC) -based AC-DC hybrid distribution system (HDS) resilient model to mitigate power outages caused by wildfires. Before a wildfire happens, the public-safety power shutoff (PSPS) strategy is applied to actively cut some vulnerable lines which may easily cause wildfires, and reinforce some lines that are connected to critical loads. To mitigate load shedding caused by active line disconnection in the PSPS strategy, network reconfiguration is applied before the wildfire occurrence. During the restoration period, repair crews (RCs) repair faulted lines, and network reconfiguration is also taken into consideration in the recovery strategy to pick up critical loads. Since there exists possible errors in the wildfire prediction, several different scenarios of wildfire occurrence have been taken into consideration, leading to the proposition of a stochastic multi-period resilient model for the VSC-based AC-DC HDS. To accelerate the computational performance, a progressive hedging algorithm has been applied to solve the stochastic model which can be written as a mixed-integer linear program. The proposed model is verified on a 106-bus AC-DC HDS under wildfire conditions, and the result shows the proposed model not only can improve the system resilience but also accelerate computational speed.
基金supported by the National Key Research and Development Program of China (improvement and expansion of load characteristic perception ability of urban power grid users)Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX22-0254).
文摘With the development of communication technology and distributed energy resources,trading of carbon emission rights and peer-to-peer energy transactions have become popular research directions on the end-user side.Therefore,a cap-andtrade emission framework with peer-to-peer energy trading is employed in this paper.The emission cap decomposition problem is solved under the circumstances of a multi-energy peer-topeer energy trading market.First,the multi-energy system is introduced in the peer-to-peer energy sharing model.The interaction between the prosumers and the system operator is defined.Then,the total emission cap,set by the operator,is modeled as a constraint.The decomposition of the emission cap is modeled as a cake-cutting game.Finally,the existence and uniqueness of the cake-cutting solution is proven by modeling the game to an equivalent monotone variational inequality problem.The complementary characteristics of multi energy in the market can ensure the utility of prosumers while reducing the total cap.