Abstract:
A system for strategic operation of a variable generation power plant includes a computing device in communication with a data store including environmental data independent system operator rules, operator risk metrics, power storage systems, a maintenance schedule, and a capacity record. The computing device including a statistical modeling unit to generate a risk-to-revenue strategic bid estimate for successive time periods based on one or more factors accessible in the data store, a display device to display a graphical representation of the risk-to-revenue strategic bid estimate; and a control processor that analyzes the risk-to-revenue strategic bid estimate to schedule the daily operation of a power storage system and to identify one or more time periods of the successive time periods in which to perform a scheduled maintenance. A method and a non-transitory computer readable medium are also disclosed.
Abstract:
A VAR-based post-evaluation and risk management and control method is disclosed herein. The power transmission engineering cost is broken down sub-item costs, and the stochastic behavior of sub-item costs is simulated by normal distribution, to determine the VaR of sub-item cost at a confidence, then the VaR and ratio of mean of sub-item costs are used as the weights of sub-item cost, to establish the post-evaluation model of sub-item cost, then according to the ratio of sub-item cost among total cost, a contribution degree index is established, and the main sub-item costs are screened according to the sequence of contribution degree index; then based on this, considering the constraint of risk rate interval and aiming at controlling the main sub-item cost within the allowable risk interval, a stochastic linear programming model is established; finally, Monte Carlo method is used to sample and simulate the random factors to solve the stochastic linear programming problem. The method provided herein can effectively perform evaluation on the risk of cost fluctuation, to achieve control over the cost within a risk interval.
Abstract:
The power flexibility of energy loads is maximized using a value function for each load and outputting optimal control parameters. Loads are aggregated into a virtual load by maximizing a global value function. The solution yields a dispatch function providing: a percentage of energy for each individual load, a time-varying power level for each load, and control parameters and values. An economic term represents the value of the power flexibility to different players. A user interface includes for each time interval upper and lower bounds representing respectively the maximum power that may be reduced to the virtual load and the maximum power that may be consumed. A trader modifies an energy level in a time interval relative to the reference curve for the virtual load. Automatically, energy compensation for other intervals and recalculation of upper and lower boundaries occurs. The energy schedule for the virtual load is distributed to the actual loads.
Abstract:
Systems and methods for coordinating selective activation of a multiplicity of emergency power generation equipment over a predetermined geographic area for distribution and/or storage to supply a microgrid of electrical power, and automatic, selective disconnect any of the at least one power generator from providing power supply to the microgrid or wider area grid.
Abstract:
Computer-implemented systems and methods are disclosed for facilitating generation of carbon credits to offset greenhouse gas emissions. In an embodiment, carbon emissions reduction targets for a defined time period are first received from a sponsor. A campaign is initiated for the sponsor that includes a sponsor promotion and targets selected properties and/or regions. One or more broad market simulations are then run on the targeted properties or regions to estimate an average solar energy production per property. The promotion is adjusted for each targeted property based on the property's estimated energy production compared to the average solar energy production across the targeted properties. Installation of solar energy systems on one or more of the targeted properties is then facilitated through the sponsor's campaign and promotion, and carbon credits may be provided to the sponsor that correspond to energy produced by the installed solar energy systems.
Abstract:
A system for charging a vehicle, includes a processing device which is communicatively coupled to a plurality of vehicles and maintains a forward model for modeling vehicle charging data for the plurality of vehicles, and a computing device which, based on the forward model, maintains a charge exchange market which directs a formation of a flash charge mob of vehicles from the plurality of vehicles at an optimal location to exchange charge.
Abstract:
Techniques for solar panel wattage determination are provided. A computing device can determine a potential wattage output of a candidate solar panel array using insolation data for a corresponding geographic region, and determine potential energy consumption for a property of a utility customer in the corresponding geographic region using usage data from the property. The computing device can adjust a size of the candidate solar panel array to vary the potential wattage output, and apply a different rate plan to the potential energy consumption for each adjustment to the potential wattage output. The computing device can determine that one of the wattage output adjustments yields a cost efficiency metric that is less than a predetermined threshold. In turn, the computing device provides a notification of the candidate solar panel array corresponding to the cost efficiency metric being less than the predetermined threshold as a recommendation to the corresponding utility customer.
Abstract:
Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.
Abstract:
Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. In one exemplary embodiment, a plurality of requests for electricity are received from a plurality of end-use consumers. The requests indicate a requested quantity of electricity and a consumer-requested index value indicative of a maximum price a respective end-use consumer will pay for the requested quantity of electricity. A plurality of offers for supplying electricity are received from a plurality of resource suppliers. The offers indicate an offered quantity of electricity and a supplier-requested index value indicative of a minimum price for which a respective supplier will produce the offered quantity of electricity. A dispatched index value is computed at which electricity is to be supplied based at least in part on the consumer-requested index values and the supplier-requested index values.
Abstract:
A system includes a processor and a non-transitory data storage device that contains instructions. When executed by the processor, the instructions include an aggregator of distributed micro-generator energy sources capable of delivering an energy source to a power grid; a monitor of the distributed micro-generator energy sources, wherein the monitor communicates micro-generator energy usage data with a wholesale power producer and a microgenerator asset owner; and a portfolio optimizer of the distributed micro-generator energy sources, wherein the portfolio optimizer facilitates commercialization of the distributed micro-generator energy sources, wherein the monitor tracks and reports micro-generator energy source use by a wholesale power producer; and wherein assigning a specific one of the micro-generator energy sources to a wholesale power producer causes energy to be delivered to a wholesale power market via a wholesale power grid.