Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Capacity Optimization of a Centralized Charging Station in Joint Operation with a Wind Farm

Journal Article · · Energies
DOI:https://doi.org/10.3390/en11051164· OSTI ID:1474573
 [1];  [2];  [3];  [2];  [4];  [2];  [5];  [4]
  1. Harbin Inst. of Technology (China). Department of Electrical Engineering; Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan (China)
  2. Shandong University, Jinan (China). Key Laboratory of Power System Intelligent Dispatch and Control; Collaborative Innovation Center for Global Energy Interconnection (Shandong), Jinan (China)
  3. Harbin Inst. of Technology (China). Department of Electrical Engineering
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Power and Energy Systems Group
  5. Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan (China)
+ Show Author Affiliations

In the context of large-scale wind power integration and rapid development of electric vehicles (EVs), a joint operation pattern was proposed to use a centralized charging station (CCS) to address high uncertainties incurred by wind power integration. Additionally, this would directly remove the significant indeterminacy of wind power. Because the CCS is adjacent to a wind power gathering station, it could work jointly with wind farms to operate in power system as an independent enterprise. By combining the actual operational characteristics of the wind farm and the CCS, a multidimensional operating index evaluation system was created for the joint system. Based on the wind farm’s known capacity, a multi-target capacity planning model was established for CCS to maximize the probability of realizing diverse indices of the system based on dependent-chance goal programming. In this model, planning and dispatching are combined to improve the feasibility of results in the operational stage. This approach takes the effects of randomness into account for wind power and battery swapping. The model was solved through combining Monte Carlo simulation and a genetic algorithm (GA) based on segmented encoding. Finally, as shown in the simulation results, the proposed model could comprehensively include factors such as initial investment, wind power price, battery life, etc., to optimize CCS capacity and to ultimately improve the operating indices of the joint system.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1474573
Journal Information:
Energies, Journal Name: Energies Journal Issue: 5 Vol. 11; ISSN 1996-1073; ISSN ENERGA
Publisher:
MDPI AGCopyright Statement
Country of Publication:
United States
Language:
English

References (16)

Real-time impact of power balancing on power system operation with large scale integration of wind power journal November 2015
Dependent-chance programming: A class of stochastic optimization journal December 1997
Modeling the CO2 emissions from battery electric vehicles given the power generation mixes of different countries journal February 2011
A novel centralized charging station planning strategy considering urban power network structure strength journal July 2016
Stochastic optimization of the daily operation of wind farm and pumped-hydro-storage plant journal December 2012
Optimal planning and operation of energy storage systems in radial networks for wind power integration with reserve support journal May 2016
Optimal Dispatch of Electric Vehicles and Wind Power Using Enhanced Particle Swarm Optimization journal November 2012
Utility Wind Integration and Operating Impact State of the Art journal August 2007
Augmenting Wind Power Penetration and Grid Voltage Stability Limits Using ESS: Application Design, Sizing, and a Case Study journal February 2012
Operational Adequacy Studies of Power Systems With Wind Farms and Energy Storages journal November 2012
Quantifying Spinning Reserve in Systems With Significant Wind Power Penetration journal November 2012
Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC journal September 2012
Cooperative Dispatch of Wind Generation and Electric Vehicles With Battery Storage Capacity Constraints in SCUC journal September 2014
Coordinated control of wind turbine and energy storage system for reducing wind power fluctuation conference September 2017
Coordinated Control of Wind Turbine and Energy Storage System for Reducing Wind Power Fluctuation journal December 2017
Two-Stage Multi-Objective Collaborative Scheduling for Wind Farm and Battery Switch Station journal October 2016

Cited By (1)

Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales journal August 2018

Similar Records

Joint optimal scheduling for electric vehicle battery swapping-charging system based on wind farms
Journal Article · Thu Nov 19 23:00:00 EST 2020 · CSEE Journal of Power and Energy Systems · OSTI ID:1798286
Chance-Constrained Energy Management System for Power Grids With High Proliferation of Renewables and Electric Vehicles
Journal Article · Tue Nov 05 23:00:00 EST 2019 · IEEE Transactions on Smart Grid · OSTI ID:1765951
Co-optimized trading of hybrid wind power plant with retired EV batteries in energy and reserve markets under uncertainties
Journal Article · Wed Nov 13 23:00:00 EST 2019 · International Journal of Electrical Power and Energy Systems · OSTI ID:1579636

Related Subjects

17 WIND ENERGY
42 ENGINEERING
capacity optimization
centralized charging station
dependent chance programming
power system
wind farm