http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105305413-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02E10-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02E70-30
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02J3-32
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H02S10-12
filingDate 2015-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2019-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2019-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-105305413-B
titleOfInvention A kind of wind and solar hybrid generating system Optimal Configuration Method
abstract The invention discloses a kind of wind and solar hybrid generating system Optimal Configuration Methods.Wind-power electricity generation and photovoltaic power generation correlation are calculated, wind light generation power output joint probability distribution is obtained;Comprehensively consider the factors such as the influence and energy storage battery service life of wind speed and illumination to power generation, establishes using the minimum target of system cost of electricity-generating and to load power loss rate as the majorized function of constraint condition;Two suboptimization are carried out using harmonic search algorithm is improved, the first suboptimization obtains wind-power electricity generation power, photovoltaic generation power and the energy-storage battery Capacity Theory value of demand;Then wind-power electricity generation power definite value is adjusted to wind-driven generator rated power existing for market, then re-optimization objective function, obtains the photovoltaic generation power for meeting constraint condition and energy storage battery capacity final goal value.Wind and solar hybrid generating system Optimal Configuration Method proposed by the present invention can accelerate solution procedure convergence rate, and double optimization meets actual demand, and optimum results can be improved power supply reliability and reduce system Construction cost.
priorityDate 2015-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCP61588
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID11858
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ5R9F4
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCP61587
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419474445
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ8BLR7
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ2HJ68
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID27289
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID295588
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID223881
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID508869
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID311
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID74194
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ6SA80
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID8153
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCP52198
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID390
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ9QYM5
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCO77683
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID405780
http://rdf.ncbi.nlm.nih.gov/pubchem/protein/ACCQ92730
http://rdf.ncbi.nlm.nih.gov/pubchem/gene/GID80963

Total number of triples: 35.