The Business Optimization Analysis of the Virtual Power Plant Based on the Large-Scale BESS System

2014 ◽  
Vol 1070-1072 ◽  
pp. 1524-1533
Author(s):  
Tao Yan ◽  
Zhan Zhan Qu ◽  
Dong Hui ◽  
Yun Jia Liu ◽  
Peng Fei Jia ◽  
...  
Keyword(s):  
Power Plant ◽  
Large Scale ◽  
Dynamic Balance ◽  
Supply And Demand ◽  
Peak Load ◽  
Basic Structure ◽  
Economic Benefits ◽  
Generation Process ◽  
Virtual Power ◽  
Virtual Power Plant

In the new energy power generation process, because it’s difficult to balance the dynamic energy and the system operation cost is high, the paper puts forward the basic structure of the commercial virtual power plant based on BESS system, then discuss the proper run mode of the virtual power plant to maximize the total revenue. On the basis of the electricity price of the Chinese typical areas and the cost of the BESS system, the paper builds the mathematical model of the economic benefits of the virtual power plant based on BESS system. This paper also builds the regulation optimization simulation model of the virtual power plant based on the aim of maximizing the overall profit of the energy supply and demand sides, and calculates the dynamic balance elements and optimization optimal power output value based on optimization algorithm. The simulation results show that using the virtual power plant based on BESS system to peak load shifting and control frequency is feasible in the economy.

Day-ahead stochastic multi-objective economic/emission operational scheduling of a large scale virtual power plant

Energy ◽  
2019 ◽  
Vol 172 ◽  
pp. 630-646 ◽  
Author(s):  
Shahrzad Hadayeghparast ◽  
Alireza SoltaniNejad Farsangi ◽  
Heidarali Shayanfar
Keyword(s):  
Power Plant ◽  
Large Scale ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Multi Objective

Optimal Operation Model for Virtual Power Plant in Datong Area

2015 ◽  
Vol 785 ◽  
pp. 627-631 ◽  
Author(s):  
Hei Wei ◽  
Rasyidah Mohamed Idris
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Power Plants ◽  
Large Scale ◽  
Wind Farm ◽  
Thermal Power ◽  
Optimal Operation ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Pumped Storage

Datong area has abundant wind energy. Due to problem in large scale of wind power grid connection, this paper introduces virtual power plant concept. As for beginning, power source characteristics of the wind farm, pumped storage power station and the thermal power plant are taken for analysis. Three types of different power plants are chosen to represent the virtual power plant modeling as well as adopting the NSGA2 optimization. As a conclusion, this case study proved that virtual power plant can increase the benefits of each power plant and the wind power plant output power curve become smoother.

scholarly journals Clustering time series applied to energy markets

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Cornelia Krome ◽  
Jan Höft ◽  
Volker Sander
Keyword(s):  
Time Series ◽  
Power Plant ◽  
Electricity Market ◽  
Power Plants ◽  
Large Scale ◽  
Energy Systems ◽  
Weather Data ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Virtual Power Plants

Abstract In Germany and many other countries the energy market has been subject to significant changes. Instead of only a few large-scale producers that serve aggregated consumers, a shift towards regenerative energy sources is taking place. Energy systems are increasingly being made more flexible by decentralised producers and storage facilities, i.e. many consumers are also producers. The aggregation of producers form another type of power plants: a virtual power plant. On the basis of aggregated production and consumption, virtual power plants try to make decisions under the conditions of the electricity market or the grid condition. They are influenced by many different aspects. These include the current feed-in, weather data, or the demands of the consumers. Clearly, a virtual power plant is focusing on developing strategies to influence and optimise these factors. To accomplish this, many data sets can and should be analysed in order to interpret and create forecasts for energy systems. Time series based analytics are therefore of particular interest for virtual power plants. Classifying the different time series according to generators, consumers or customer types simplifies processes. In this way, scalable solutions for forecasts can be found. However, one has to first find the according clusters efficiently. This paper presents a method for determining clusters of time series. Models are adapted and model-based clustered using ARIMA parameters and an individual quality measure. In this way, the analysis of generic time series can be simplified and additional statements can be made with the help of graphical evaluations. To facilitate large scale virtual power plants, the presented clustering workflow is prepared to be applied on big data capable platforms, e.g. time series stored in Apache Cassandra, analysed through an Apache Spark execution framework. The procedure is shown here using the example of the Day-Ahead prices of the electricity market for 2018.

Optimal Virtual Power Plant Dispatching Approach

2014 ◽  
Vol 590 ◽  
pp. 511-515
Author(s):  
Ya Chin Chang ◽  
Sung Ling Chen ◽  
Rung Fang Chang ◽  
Chan Nan Lu
Keyword(s):  
Power Plant ◽  
Power Supply ◽  
Distribution System ◽  
Storage System ◽  
Peak Load ◽  
Optimization Approach ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Electricity Cost ◽  
Distribution Transformers

As the integrator of energy resources (DERs), a virtual power plant (VPP) would be able to control the amount of the power access to the distribution transformers such that energy efficiency can be improved. Battery energy storage system (BESS) and demand response (DR) as DERs can entrust the VPP with certain controllability to regulate the power supply of the distribution system. This paper aims to maximize the benefit of the supplied powers over the 24 hours under VPP operation. Combining an iterative dynamic programming optimal BESS schedule approach and a PSO-based DR scheme optimization approach, an optimal VPP operational method is proposed to minimize the total electricity cost with respect to the power supply limit of the distribution transformers and the system security constraints, especially, within the peak load hours. With the TOU rate given each hour, test results had confirmed the validity of the proposed method with the obviously decreased power supply in each peak-load hours and the largely reduced electricity cost accordingly.

scholarly journals Virtual Power Plant as A Remedy to The Power Crisis Of Bangladesh: A Case Study-CUET

1970 ◽  
Vol 3 ◽  
Author(s):  
CK Das ◽  
NK Das ◽  
MM Islam ◽  
SM Sazzad Hossain
Keyword(s):  
Power Plant ◽  
Distributed Generation ◽  
Reference Model ◽  
Peak Load ◽  
Operational Mode ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Load Following ◽  
Control Entity

A virtual power plant is a cluster of distributed generation installations (such as microchip, wind-turbines, small hydro, back-up genets etc.) which are collectively run by a central control entity. The concerted operational mode shall result in an extra benefit as to deliver peak load electricity or load following power at short notice. Bangladesh is facing acute power crisis like other developing countries. As we have limited resources we have to think economically. VPP is playing good role in European & American market. So we have taken VPP as a solution for power crisis. In this thesis, we have taken CUET as a reference model. To solve the power crisis in CUET & to supply power to the main grid a small virtual power plant is designed .Whole CUET is divided into three regions for designing purpose. By using MATLAB simulink environment machine characteristic curves are derived & cost is calculated. KEY WORDS: VPP; MATLAB; DG; CUET; MCCB; DER; LDC. DOI: http://dx.doi.org/10.3329/mist.v3i0.8054

Sign in / Sign up

Export Citation Format

Share Document