Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications.However,the low accuracy a...Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications.However,the low accuracy and poor convergence of these algorithms have been challenging for system operators.The bird swarm algorithm(BSA),a new bio-heuristic cluster intelligent algorithm,can potentially address these challenges;however,its computational iterative process may fall into a local optimum and result in premature convergence when optimizing small portions of multi-extremum functions.To analyze the impact of a multi-objective economic-environmental dispatching of a microgrid and overcome the aforementioned problems of the BSA,a self-adaptive levy flight strategy-based BSA(LF-BSA)was proposed.It can solve the dispatching problems of microgrid and enhance its dispatching convergence accuracy,stability,and speed,thereby improving its optimization performance.Six typical test functions were used to compare the LF-BSA with three commonly accepted algorithms to verify its excellence.Finally,a typical summer-time daily microgrid scenario under grid-connected operational conditions was simulated.The results proved the feasibility of the proposed LF-BSA,effectiveness of the multi-objective optimization,and necessity of using renewable energy and energy storage in microgrid dispatching optimization.展开更多
Spinal muscular atrophy(SMA),a neurodegenerative disorder caused by mutations in survival motor neuron 1(SMN1)resulting in reduced expression of the survival motor neuron(SMN)protein,is inherited in an autosomal reces...Spinal muscular atrophy(SMA),a neurodegenerative disorder caused by mutations in survival motor neuron 1(SMN1)resulting in reduced expression of the survival motor neuron(SMN)protein,is inherited in an autosomal recessive manner.SMA type 1 is the most frequent subtype of SMA characterized by onset before 6 months of life,inability to achieve independent sitting,and rapidly progressive respiratory and bulbar deterioration,causing a mortality of>90%before 2 years of age.[1]Currently,there have been two lifelong splice-modifying therapies(nusinersen and risdiplam),and a single-dose gene replacement therapy via intravenous onasemnogene abeparvovec for SMA type 1 patients.展开更多
基金supported by the National Natural Science Foundation of China (No. 52061635103)
文摘Multi-objective optimal dispatching schemes with intelligent algorithms are recognized as effective measures to promote the economics and environmental friendliness of microgrid applications.However,the low accuracy and poor convergence of these algorithms have been challenging for system operators.The bird swarm algorithm(BSA),a new bio-heuristic cluster intelligent algorithm,can potentially address these challenges;however,its computational iterative process may fall into a local optimum and result in premature convergence when optimizing small portions of multi-extremum functions.To analyze the impact of a multi-objective economic-environmental dispatching of a microgrid and overcome the aforementioned problems of the BSA,a self-adaptive levy flight strategy-based BSA(LF-BSA)was proposed.It can solve the dispatching problems of microgrid and enhance its dispatching convergence accuracy,stability,and speed,thereby improving its optimization performance.Six typical test functions were used to compare the LF-BSA with three commonly accepted algorithms to verify its excellence.Finally,a typical summer-time daily microgrid scenario under grid-connected operational conditions was simulated.The results proved the feasibility of the proposed LF-BSA,effectiveness of the multi-objective optimization,and necessity of using renewable energy and energy storage in microgrid dispatching optimization.
基金supported by the E-Town Cooperation&Development Foundation(No.YCXJ-JZ-2022-007).
文摘Spinal muscular atrophy(SMA),a neurodegenerative disorder caused by mutations in survival motor neuron 1(SMN1)resulting in reduced expression of the survival motor neuron(SMN)protein,is inherited in an autosomal recessive manner.SMA type 1 is the most frequent subtype of SMA characterized by onset before 6 months of life,inability to achieve independent sitting,and rapidly progressive respiratory and bulbar deterioration,causing a mortality of>90%before 2 years of age.[1]Currently,there have been two lifelong splice-modifying therapies(nusinersen and risdiplam),and a single-dose gene replacement therapy via intravenous onasemnogene abeparvovec for SMA type 1 patients.
