Forward thresholds for operation of pumped-storage stations in the real-time energy market

2016 ◽  
Vol 254 (1) ◽  
pp. 253-268 ◽  
Author(s):  
Goran Vojvodic ◽  
Ahmad I. Jarrah ◽  
David P. Morton
Keyword(s):  
Real Time ◽  
Energy Market ◽  
The Real ◽  
Pumped Storage

scholarly journals Modeling the Real-Time use of Reserves in the Joint Energy and Reserve Hourly Scheduling of a Pumped Storage Plant

2016 ◽  
Vol 87 ◽  
pp. 53-60 ◽  
Author(s):  
Manuel Chazarra ◽  
Juan I. Pérez-Díaz ◽  
Javier García-González ◽  
Arild Helseth
Keyword(s):  
Real Time ◽  
Time Use ◽  
The Real ◽  
Pumped Storage

scholarly journals A Two-Stage Dispatching Method for Wind-Hydropower-Pumped Storage Integrated Power Systems

2021 ◽  
Vol 9 ◽  
Author(s):  
Shuai Hu ◽  
Yue Xiang ◽  
Junyong Liu ◽  
Jianhua Li ◽  
Chang Liu
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Real Time ◽  
Wind Power ◽  
Generation Model ◽  
Two Stage ◽  
The Real ◽  
Allocation Method ◽  
Pumped Storage ◽  
Benefit Allocation

With the fossil energy crisis and environmental pollution, wind energy and other renewable energy have been booming. However, the strong intermittence and volatility of wind power make difficult of its integration into grid. To solve this problem, this study proposes a complementary power generation model of wind-hydropower-pumped storage systems, which uses hydropower and pumped storage to adjust the fluctuation of wind power. How to consider the uncertainty and unpredictability of wind power output and make more reliable hydropower generation plan and pumped storage generation plan is the key problem to be solved in the grid with the high proportion of renewable energy. The martingale model of forecast evolution is used to describe the uncertainty evolution of wind power in different regions. According to the flexible load in the region, the flexibility index is used to quantify flexibility, and the transaction price is set to be proportional to flexibility. The two-stage framework of day-ahead and real-time dispatching model is then developed. In the day-ahead stage, different regions trade with each other. If the power after trading is imbalanced, it will be supplemented by hydropower and the grid to meet the power demand. In the real-time stage, the pumped storage is added to quickly balance the deviation of wind power and load between the real-time and day-ahead stages. Finally, considering the positive effect of hydropower on wind power consumption in the grid, a benefit allocation method based on improved Shapley value method is proposed. Test cases are simulated to verify the rationality of the proposed dispatching model and the benefit allocation method. After the cooperation of hydropower and pumped storage, the average revenue growth is 3.02%. The improved benefit allocation scheme makes more benefit of hydropower and pumped storage and promotes the cooperation of multi-participants.

Distributed Robust Energy Management of a Multimicrogrid System in the Real-Time Energy Market

2019 ◽  
Vol 10 (1) ◽  
pp. 396-406 ◽  
Author(s):  
Yun Liu ◽  
Yuanzheng Li ◽  
Hoay Beng Gooi ◽  
Ye Jian ◽  
Huanhai Xin ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Energy Market ◽  
The Real

scholarly journals Reinforcement Learning Based Peer-to-Peer Energy Trade Management Using Community Energy Storage in Local Energy Market

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4131
Author(s):  
Hannie Zang ◽  
JongWon Kim
Keyword(s):  
Reinforcement Learning ◽  
Energy Storage ◽  
Real Time ◽  
Peer To Peer ◽  
Energy Market ◽  
Second Phase ◽  
Local Energy ◽  
The Real ◽  
Management Algorithm ◽  
Energy Trade

Many studies have proposed a peer-to-peer energy market where the prosumers’ actions, including energy consumption, charge and discharge schedule of energy storage systems, and transactions in local energy markets, are controlled by a central operator. In this paper, prosumers’ actions are not controlled by an operator, and the prosumers freely participate in the local energy market to trade energy with other prosumers. We designed and modeled a local energy market with a management algorithm that uses community energy storage for prosumers who competitively participate in trade in the real-time energy market. We propose an energy-trade management algorithm that manages the trades of prosumers in two phases based on bids and offers submitted by prosumers. The first phase is to manage the trade of prosumers who have submitted fair prices to trade with other prosumers in the real-time energy market. The second phase is managing the trade of prosumers that could not trade in the first phase. Community energy storage is employed in the second phase and controlled by a reinforcement learning-based trading algorithm to decide whether to buy, sell, or do nothing with the prosumers. The action of buying and selling means charging and discharging the community energy storage, respectively. Numerical results show that the proposed trading algorithm gains a near-maximum profit. Besides, we verified that community energy storage yields more profit than the battery wear-out cost.

The Real-Time Neural Genesis of a Punchline

2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  
Real Time ◽  
The Real

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

Sign in / Sign up

Export Citation Format

Share Document