• Corpus ID: 211032217

Storage Optimal Control under Net Metering Policies

@article{Hashmi2020StorageOC,
  title={Storage Optimal Control under Net Metering Policies},
  author={Md Umar Hashmi and Arpan Mukhopadhyay and Ana Bu{\vs}i{\'c} and Jocelyne Elias},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.01524}
}
Electricity prices and the end user net load vary with time. Electricity consumers equipped with energy storage devices can perform energy arbitrage, i.e., buy when energy is cheap or when there is a deficit of energy, and sell it when it is expensive or in excess, taking into account future variations in price and net load. Net metering policies indicate that many of the utilities apply a {customer selling} rate lower than or equal to the retail {customer buying rate} in order to compensate… 
Optimal Storage Arbitrage under Net Metering using Linear Programming
TLDR
The optimal energy arbitrage problem for a piecewise linear cost function for energy storage devices using linear programming (LP) is formulated, based on the equivalent minimization of the epigraph, using an Auto-Regressive Moving Average model.
Energy storage applications for low voltage consumers in Uruguay
TLDR
This paper explores residential energy storage applications in Uruguay, one of the global leaders in renewable energies, where new low-voltage consumer contracts were recently introduced andumerical results indicate that storage could be profitable, even considering battery degradation, under some but not all of the studied contracts.
Energy storage in Madeira, Portugal: co-optimizing for arbitrage, self-sufficiency, peak shaving and energy backup
TLDR
A convex co-optimization problem for performing arbitrage under zero feed-in tariff, increasing self-sufficiency by increasingSelf-consumption of locally generated renewable energy, provide peak shaving and act as a backup power source during anticipated and scheduled power outages is formulated.
Can locational disparity of prosumer energy optimization due to inverter rules be limited?
To mitigate issues related to growth of variable smart loads and distributed generation, distribution system operators (DSO) now make it binding for prosumers with inverters to operate under pre-set
Arbitrage With Power Factor Correction Using Energy Storage
TLDR
This work focuses on co-optimizing energy storage for performing energy arbitrage as well as local power factor correction, and develops a model predictive control based storage control policy using auto-regressive forecast for the uncertainty.
Chance constrained day-ahead robust flexibility needs assessment for low voltage distribution network
For market-based procurement of low voltage (LV) flexibility, DSOs identify the amount of flexibility needed for resolving probable distribution network (DN) voltage and thermal congestion. A framework
Stochastic Battery Operations using Deep Neural Networks
TLDR
A scenario-based optimal control framework to account for the forecast uncertainty in battery arbitrage problems is introduced and the proposed real-time controller seeks the optimal charge/discharge levels to maximize profits.

References

SHOWING 1-10 OF 31 REFERENCES
Optimal control of storage under time varying electricity prices
TLDR
An algorithm to find an optimal solution of the energy arbitrage problem under given time varying electricity prices is proposed, based on discretization of optimal Lagrange multipliers of a convex problem and has a structure in which the optimal control decisions are independent of past or future prices beyond a certain time horizon.
Optimal Operation and Economic Value of Energy Storage at Consumer Locations
TLDR
It is shown that if the consumer can always buy and sell electricity at the same (realized) price, then it is optimal for the consumer to use the storage only for arbitrage, and therefore the VoS does not depend on the consumer’s demand.
Optimal Control of End-User Energy Storage
TLDR
This work proposes to temporarily store inexpensive energy in a battery, and use it to satisfy demand when energy prices are high, thus allowing users to exploit the price variations without having to shift their demand to the low-price periods.
Optimal control of storage incorporating market impact and with energy applications
TLDR
A pragmatic approach to the real-time management of storage in a stochastic cost environment, which is computationally feasible, optimal under certain ideal conditions, and which may in general be expected to perform close to optimally.
Effect of Real-Time Electricity Pricing on Ancillary Service Requirements
TLDR
This work considers a RTP that is determined by the forecasted generation and ramping cost, and proposes a real time algorithm that approximates the optimal consumer behavior under the complete information setting.
Impact of storage on the efficiency and prices in real-time electricity markets
TLDR
It is shown, in particular, that the optimal storage energy capacity scales as the volatility to the fourth power as a function of the volatility of demand and renewables.
Optimal operation strategy of battery energy storage system to real-time electricity price in Denmark
TLDR
Simulation results show, that the proposed optimal operation strategy for a battery energy storage system (BESS) in relation to the real-time electricity price in order to achieve the maximum profits of the BESS.
Optimization and Control of Storage in Smart Grids
TLDR
Li-Ion battery, as energy storage, is used both at the level of individual consumers minimizing the cost of electricity and at the grid level for increasing reliability and stability of the power network.
Energy storage in Madeira, Portugal: co-optimizing for arbitrage, self-sufficiency, peak shaving and energy backup
TLDR
A convex co-optimization problem for performing arbitrage under zero feed-in tariff, increasing self-sufficiency by increasingSelf-consumption of locally generated renewable energy, provide peak shaving and act as a backup power source during anticipated and scheduled power outages is formulated.
SmartCharge: Cutting the electricity bill in smart homes with energy storage
TLDR
This paper explores how to lower electric bills without requiring consumer involvement using an intelligent charging system, called SmartCharge, and an on-site battery array to store low-cost energy for use during high-cost periods.
...
...