Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d9de52bba13e16028dffa8775e3f3f28 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J2203-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y04S10-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J2300-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02E70-30 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-381 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-06315 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q40-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-008 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H02J3-28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-06313 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q40-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-38 |
filingDate |
2021-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_22f432391dc1c96f78791f9306a88fcf http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d373a47843ba8010ced189150c18ba03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a99cd34d508de10ec310d6cba89997b4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c5de6a74428b9b707ca110eb94b229e6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a48ea64c63a695fdf66e635ec8559320 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_450ea59547071c62166e9409d52af610 |
publicationDate |
2021-08-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
CN-113313416-A |
titleOfInvention |
Optimal allocation method of distribution network power resources considering biogas power generation and new energy consumption mechanism |
abstract |
A method for optimizing distribution network power resources that takes into account biogas power generation and new energy consumption mechanisms, constructs a microbial fermentation kinetic model according to the fermentation conditions of a large-scale biogas project, and estimates the large-scale biogas project through the microbial fermentation kinetic model. Biogas yield during the fermentation period; model the battery-like characteristics of large-scale biogas projects to obtain a battery-like characteristic model of large-scale biogas projects, and use the battery-like characteristic model to calculate the new energy consumption capacity; use electricity sales revenue and operation The profit maximization of the cost difference is used as the objective function, and a two-layer optimization model of power transaction is constructed. The distribution network power transaction considering the biogas power generation and the new energy consumption mechanism is planned through the power transaction double-layer optimization model; the invention can maximize the income of the distribution network operator and the demand response load supplier. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114256982-A |
priorityDate |
2021-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |