Optimal Demand-Side Management for Joint Privacy-Cost Optimization with Energy Storage
نویسندگان
چکیده
The smart meter (SM) privacy problem is addressed together with the cost of energy for the consumer. It is assumed that a storage device, e.g., an electrical battery, is available to the consumer, which can be utilized both to achieve privacy and to reduce the energy cost by modifying the energy consumption profile. Privacy is measured via the squared-error distortion between the SM readings, which are reported to the utility provider (UP), and a target profile, whereas time-of-use pricing is considered for energy cost calculation. Extensive numerical results are presented to evaluate the performance of the proposed strategy. The trade-off between the achievable privacy and the energy cost is studied by taking into account the limited capacity of the battery as well as the capability to sell energy to the UP.
منابع مشابه
Optimal Sizing of Energy Storage System in A Renewable-Based Microgrid Under Flexible Demand Side Management Considering Reliability and Uncertainties
Utilization of energy storage system (ESS) in microgrids has turned to be necessary in recent years and now with the improvement of storage technologies, system operators are looking for an exact modeling and calculation for optimal sizing of ESS. In the proposed paper, optimal size of ESS is determined in a microgrid considering demand response program (DRP) and reliability criterion. Both lar...
متن کاملOptimal Operation of Integrated Energy Systems Considering Demand Response Program
This study presents an optimal framework for the operation of integrated energy systems using demand response programs. The main goal of integrated energy systems is to optimally supply various demands using different energy carriers such as electricity, heating, and cooling. Considering the power market price, this work investigates the effects of multiple energy storage devices and demand res...
متن کاملOptimal mathematical operation of a hybrid microgrid in islanded mode for improving energy efficiency using deep learning and demand side management
Deep learning method is used to predict the future value of load demand. Based on obtained results, a new model based on the forward-backward load shifting and unnecessary load shedding is presented. As well, to increase energy efficiency, excess renewable energy has been used to produce green hydrogen. For this purpose, GAMS optimization software has been used for optimal operation of the micr...
متن کاملOptimal Operation of Microgrids Under Demand Side Management
One of the major problem in the optimal operation of the power system is optimal operation of microgrid with regard to the Demand-side-management. From one side, demand-side-management programs reduce the operating costs of the power system and on the other hand, the implementation of these programs requires a financial incentive policies. In this paper, optimal operation of microgrid with dem...
متن کاملFuel Consumption Reduction and Energy Management in Stand-Alone Hybrid Microgrid under Load Uncertainty and Demand Response by Linear Programming
A stand-alone microgrid usually contains a set of distributed generation resources, energy storage system and loads that can be used to supply electricity of remote areas. These areas are small in terms of population and industry. Connection of these areas to the national distribution network due to the high costs of constructing transmission lines is not economical. Optimal utilization and eco...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1704.07615 شماره
صفحات -
تاریخ انتشار 2017