| 摘要 |
An energy distribution may include a server and one or more databases. The system may communicate with an energy provider to receive energy provider data, at least one information collector to receive information collector data such as individualized energy usage data, customer preferences, and customer or location characteristics, and the one or more databases for receiving data for optimization. The system may calculate a cost of service or avoided cost using at least one of the individualized energy usage data and a system generation cost at a nearest bus. The system may also forecast individualized demand by end-use, individualized demand by location, energy prices, or energy costs. The system may optimize energy distribution, energy use, cost of service, or avoided cost using the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs. WO 2010/083334 PCT/US2010/021074 Buildings with Home Area Network Buildings with Whole House (HAN) Systems Smart Meters 143 147, HSmart Meter or Alternative f 141 Meter Vendor Server T _145 Data Data 1. Real or near-real time end-use usage data Real or near-real time 2. Customer willingness to be interrupted, bids whole facility usage data 127 3. Customer preferences 4. Customer demographics 5. Desired Bill Level 101 Real or near-real Grid time Locational Fourth Party Vendors Marginal Price (LMP) 49 Communication 137 135 Server Real or near-real Utility Distribution system time generation 129 characteristics; Commodity Cost Characteristics Calculate real or Distributed/Renewable 121 near-real time end- Generation (139use specific Cost 153 Required system 103 of Servi e (Cal ) Real or near-real reductions, objectives time battery level 155 157 /'159 Communication Complex Event Utlt and Customer Engine Processor WeI b Pras131 104 Forecasting System13 isrbtdSoae Statistical forecast in real or near-real time. Databases Real-time and forecasted weather conditions 107 .- -- -- - - - - - - - - 1105 17 L Real or Near-Real Time Optimizations Demand Response Mi.crogrid Optimization 111 113Y 115 Optlimization Peak Demand Micro sp tch Bill Trg t Renewal iGiatieration9 Results expressed in real or near-real time data, for application number 2010204729, is current as of 2015-11-16 23:00 AEST |
