scholarly journals A new two-layer model for energy management in the smart distribution network containing flexi-renewable virtual power plant

2021 ◽  
Vol 194 ◽  
pp. 107085
Author(s):  
Saeed Abrisham Foroushan Asl ◽  
Leila Bagherzadeh ◽  
Sasan Pirouzi ◽  
Mohammadali Norouzi ◽  
Matti Lehtonen
Keyword(s):  
Power Plant ◽  
Energy Management ◽  
Distribution Network ◽  
Virtual Power ◽  
Layer Model ◽  
Virtual Power Plant ◽  
Two Layer Model ◽  
Smart Distribution Network

scholarly journals IoT Based Real Time Energy Management of Virtual Power Plant using PLC for Transactive Energy Framework

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Poushali Pal ◽  
A. K. Parvathy ◽  
K. R. Devabalaji ◽  
Joseph Antony ◽  
Simon Ocheme ◽  
...  
Keyword(s):  
Power Plant ◽  
Real Time ◽  
Energy Management ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Transactive Energy

A Centralized-Stochastic Solution for Smart Energy Management in a Virtual Power Plant

2021 ◽  
Author(s):  
Ehsan Heydarian-Forushani ◽  
Seifeddine Ben Elghali ◽  
Mohamed Zerrougui ◽  
Massimo La Scala ◽  
Pascal Mestre
Keyword(s):  
Power Plant ◽  
Energy Management ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Stochastic Solution ◽  
Smart Energy Management

scholarly journals Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

2021 ◽  
Vol 20 ◽  
pp. 75-91
Author(s):  
Qing Yang ◽  
Hao Wang ◽  
Taotao Wang ◽  
Shengli Zhang ◽  
Xiaoxiao Wu ◽  
...  
Keyword(s):  
Power Plant ◽  
Power System ◽  
Energy Management ◽  
Energy Resources ◽  
Network Services ◽  
Distributed Energy Resources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plant ◽  
Management Platform

The advent of distributed energy resources (DERs), such as distributed renewables, energy storage, electric vehicles, and controllable loads, brings a significantly disruptive and transformational impact on the centralized power system. It is widely accepted that a paradigm shift to a decentralized power system with bidirectional power flow is necessary to the integration of DERs. The virtual power plant (VPP) emerges as a promising paradigm for managing DERs to participate in the power system. In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP. Specifically, users can interact with each other to trade energy for mutual benefits and provide network services, such as feed-in energy, reserve, and demand response, through the VPP. To respect the users’ independence and preserve their privacy, we design a decentralized optimization algorithm to optimize the users’ energy scheduling, energy trading, and network services. Then we develop a prototype blockchain network for VPP energy management and implement the proposed algorithm on the blockchain network. By experiments using real-world data trace, we validated the feasibility and e_ectiveness of our algorithm and the blockchain system. The simulation results demonstrate that our blockchain-based VPP energy management platform reduces the users’ cost by up to 38.6% and reduces the overall system cost by 11.2%.

scholarly journals Water-Energy Management for Demand Charges and Energy Cost Optimization of a Pumping Stations System under a Renewable Virtual Power Plant Model

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2900
Author(s):  
Natalia Naval ◽  
Jose M. Yusta
Keyword(s):  
Power Plant ◽  
Energy Management ◽  
Energy Cost ◽  
Irrigation System ◽  
Market Price ◽  
Optimal Operation ◽  
Mixed Integer ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Operating Profit

The effects of climate change seriously affect agriculture at different latitudes of the planet because periods of drought are intensifying and the availability of water for agricultural irrigation is reducing. In addition, the energy cost associated with pumping water has increased notably in recent years due to, among other reasons, the maximum demand charges that are applied annually according to the contracted demand in each facility. Therefore, very efficient management of both water resources and energy resources is required. This article proposes the integration of water-energy management in a virtual power plant (VPP) model for the optimization of energy costs and maximum demand charges. For the development of the model, a problem related to the optimal operation of electricity generation and demand resources arises, which is formulated as a nonlinear mixed-integer programming model (MINLP). The objective is to maximize the annual operating profit of the VPP. It is worth mentioning that the model is applied to a large irrigation system using real data on consumption and power generation, exclusively renewable. In addition, different scenarios are analyzed to evaluate the variability of the operating profit of the VPP with and without intraday demand management as well as the influence of the wholesale electricity market price on the model. In view of the results obtained, the model that integrates the management of the water-energy binomial increases the self-consumption of renewable energy and saves electricity supply costs.

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