| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d9de52bba13e16028dffa8775e3f3f28 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J2300-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J2300-28
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J2300-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02E70-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J2203-20 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-466
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C25B9-65
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-008
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-28
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/C25B1-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-381
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-32 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C25B1-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-28
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/C25B9-65
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-38
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-24 |
| filingDate |
2022-05-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1c2f59b870b59dc7f6c8f49f521ac696
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f7f20a01c0c23b7143f09e43084ca1ce
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_224fc5e370967609c70d18562ce81d17 |
| publicationDate |
2022-08-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114914943-A |
| titleOfInvention |
Optimal allocation method of hydrogen energy storage for green port shore power system |
| abstract |
The present invention provides a method and system for optimizing the configuration of hydrogen energy storage for a green port shore power system, including: step S1: configuring hydrogen energy in a port comprehensive energy system to form a multi-energy hybrid energy storage system; step S2: facing Establish an optimal configuration model for the green port multi-energy system; step S3: use the particle swarm optimization algorithm to optimize and solve the optimal configuration model to obtain an optimal configuration plan; the optimal configuration model is based on the green port multi-energy system with hydrogen energy storage, According to the preset objective function and preset constraints, find the optimal configuration capacity for the green port multi-energy system with hydrogen energy storage. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116632945-A |
| priorityDate |
2022-05-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |