scholarly journals Decentralized and Collaborative Scheduling Approach for Active Distribution Network with Multiple Virtual Power Plants

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3208 ◽  
Author(s):  
Xiangyu Li ◽  
Dongmei Zhao ◽  
Baicang Guo
Keyword(s):  
Distribution System ◽  
Gas Turbines ◽  
Power Plants ◽  
Large Scale ◽  
Distribution Network ◽  
Virtual Power ◽  
Distributed Energy ◽  
Active Distribution Network ◽  
Active Distribution System ◽  
Virtual Power Plants

In order to build an active distribution system with multi virtual power plants (VPP), a decentralized two-stage stochastic dispatching model based on synchronous alternating direction multiplier method (SADMM) was proposed in this paper. Through the integration of distributed energy and large-scale electric vehicles (EV) in the distribution network by VPP group, coordinative complementarity, and global optimization were realized. On the premise of energy autonomy management of active distribution network (AND) and VPP, after ensuring the privacy of stakeholders, the power of tie-line was taken as decoupling variable based on SADMM. Furthermore, without the participation of central coordinators, the optimization models of VPPs and distribution networks were decoupled to achieve fully decentralized optimization. Aiming at minimizing their own operating costs, the VPPs aggregate distributed energy and large-scale EVs within their jurisdiction to interact with the upper distribution network. On the premise of keeping operation safe, the upper distribution network formulated the energy interaction plan with each VPP, and then, the global energy optimization management of the entire distribution system and the decentralized autonomy of each VPP were achieved. In order to improve the stochastic uncertainty of distributed renewable energy output, a two-stage stochastic optimization method including pre-scheduling stage and rescheduling stage was adopted. The pre-scheduling stage was used to arrange charging and discharging plans of EV agents and output plans of micro gas turbines. The rescheduling stage was used to adjust the spare resources of micro gas turbines to deal with the uncertainty of distributed wind and light. An example of active distribution system with multi-VPPs was constructed by using the improved IEEE 33-bus system, then the validity of the model was verified.

Fast Service Restoration of Multi-Source Active Distribution Network with Microgrids and Electric Vehicles

2014 ◽  
Vol 672-674 ◽  
pp. 1175-1178
Author(s):  
Guang Min Fan ◽  
Ling Xu Guo ◽  
Wei Liang ◽  
Hong Tao Qie
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Distribution Network ◽  
Active Distribution Network ◽  
Optimal Power ◽  
Service Restoration ◽  
Restoration Method

The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A fast service restoration method of multi-source active distribution network with MGs and EVs is proposed in this paper for service restoration of distribution network, which takes effectiveness, rapidity, economy and reliability into consideration. Then, different optimal power flow (OPF) models for the service restoration strategy are constructed separately to minimize the network loss after service restoration. In addition, a genetic algorithm was introduced to solve the OPF model. The analysis of the service restoration strategy is carried out on an IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, and the feasibility and effectiveness are verified

scholarly journals Stochastic Mixed-Integer Programming (SMIP)-Based Distributed Energy Resource Allocation Method for Virtual Power Plants

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 67
Author(s):  
Rakkyung Ko ◽  
Sung-Kwan Joo
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Mixed Integer ◽  
Virtual Power ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Stochastic Mixed Integer Programming ◽  
Virtual Power Plants

Virtual power plants (VPPs) have been widely researched to handle the unpredictability and variable nature of renewable energy sources. The distributed energy resources are aggregated to form into a virtual power plant and operate as a single generator from the perspective of a system operator. Power system operators often utilize the incentives to operate virtual power plants in desired ways. To maximize the revenue of virtual power plant operators, including its incentives, an optimal portfolio needs to be identified, because each renewable energy source has a different generation pattern. This study proposes a stochastic mixed-integer programming based distributed energy resource allocation method. The proposed method attempts to maximize the revenue of VPP operators considering market incentives. Furthermore, the uncertainty in the generation pattern of renewable energy sources is considered by the stochastic approach. Numerical results show the effectiveness of the proposed method.

Method for the operation planning of virtual power plants considering forecasting errors of distributed energy resources

2016 ◽  
Vol 98 (4) ◽  
pp. 347-354 ◽  
Author(s):  
Torsten Sowa ◽  
Maria Vasconcelos ◽  
Armin Schnettler ◽  
Michael Metzger ◽  
Alexander Hammer ◽  
...  
Keyword(s):  
Power Plants ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Operation Planning ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plants ◽  
Forecasting Errors

Microgrids and virtual power plants: Concepts to support the integration of distributed energy resources

2008 ◽  
Vol 222 (7) ◽  
pp. 731-741 ◽  
Author(s):  
D Pudjianto ◽  
C Ramsay ◽  
G Strbac
Keyword(s):  
Power Plants ◽  
Test System ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Ancillary Service ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plants ◽  
Efficient Integration ◽  
Cost Efficient

This article presents the concepts of the microgrid and the virtual power plant (VPP) as vehicles to facilitate cost-efficient integration of distributed energy resources (DERs) into the existing power system. These concepts were designed to enhance the system value and the controllability of DER and to provide frameworks for the development of interfaces among energy and ancillary service resources, system operators, and energy market participants. Through aggregation, DER access to energy markets is facilitated, and DER-based system support and ancillary services can be provided. By enabling this additional functionality, it is envisaged that system performance measured in the form of energy efficiency, power quality, security, and economic operation can be improved. In this paper, the technical and commercial functionality facilitated through the microgrid and VPP concepts is described. The paper concludes with case studies demonstrating the application of the concepts on a test system.

scholarly journals An approach to balance state of charges of distributed batteries in virtual power plants

2018 ◽  
Vol 56 (1) ◽  
pp. 81
Author(s):  
Duc Huu Nguyen
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
State Of Charge ◽  
Energy Sources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plant ◽  
Virtual Power Plants ◽  
Balance State ◽  
The Difference

Small distributed energy sources could be aggregated to form a virtual power plant (VPP) in order to overall improve technical and market issues. VPPs should be composed of several distributed batteries (DB) to solve the problem of intermittency due to wind and solar. This paper presents an approach to balance state of charge batteries. It is therefore to improve the lifetime of batteries in VPPs. According to the proposed method, the real-time SOC of DB will be tracking on the balancing SOC determined in VPP. During operation, the difference of SOC among DBs will be shrunk and finally the share of exchange power among DB is equal. Moreover, the duration time to achieve the balancing SOC can be determined by adjusting the exponent parameter of SOC in the presented function.

scholarly journals Stochastic Adaptive Robust Dispatch for Virtual Power Plants Using the Binding Scenario Identification Approach

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1918
Author(s):  
Guoqiang Sun ◽  
Weihang Qian ◽  
Wenjin Huang ◽  
Zheng Xu ◽  
Zhongxing Fu ◽  
...  
Keyword(s):  
Electricity Market ◽  
Power Plants ◽  
Large Scale ◽  
Market Price ◽  
Master Problem ◽  
Programming Approach ◽  
Identification Algorithm ◽  
Virtual Power ◽  
Virtual Power Plants ◽  
Identification Approach

The present study establishes a stochastic adaptive robust dispatch model for virtual power plants (VPPs) to address the risks associated with uncertainties in electricity market prices and photovoltaic (PV) power outputs. The model consists of distributed components, such as the central air-conditioning system (CACS) and PV power plant, aggregated by the VPP. The uncertainty in the electricity market price is addressed using a stochastic programming approach, and the uncertainty in PV output is addressed using an adaptive robust approach. The model is decomposed into a master problem and a sub-problem using the binding scenario identification approach. The binding scenario subset is identified in the sub-problem, which greatly reduces the number of iterations required for solving the model, and thereby increases the computational efficiency. Finally, the validity of the VPP model and the solution algorithm is verified using a simulated case study. The simulation results demonstrate that the operating profit of a VPP with a CACS and other aggregated units can be increased effectively by participating in multiple market transactions. In addition, the results demonstrate that the binding scenario identification algorithm is accurate, and its computation time increases slowly with increasing scenario set size, so the approach is adaptable to large-scale scenarios.

Sign in / Sign up

Export Citation Format

Share Document