Optimal operation scheduling for microgrid with high penetrations of solar power and thermostatically controlled loads

Effective building/house energy management has been considered as an efficient way to mitigate the fluctuation of renewable energy in power distribution system. This article studies the operation scheduling problem for microgrid with high penetration of solar power and thermostatically controlled loads. Based on the established photovolaic model and thermostatically controlled load model, an optimal operation strategy for microgird is proposed. The scheme is based on the rolling horizon optimization strategy, where the control window continues to proceed with the update of real-time information, aiming to minimize the total operation costs over the current control window. Differential evolution algorithm is used to solve the proposed model, and the simulation results validate the efficiency of the proposed method.

[1]  Zhao Yang Dong,et al.  Power system fault diagnosis based on history driven differential evolution and stochastic time domain simulation , 2014, Inf. Sci..

[2]  T.C. Green,et al.  Fuel consumption minimization of a microgrid , 2005, IEEE Transactions on Industry Applications.

[3]  Geza Joos,et al.  Energy storage system scheduling for an isolated microgrid , 2011 .

[4]  Lieven Vandevelde,et al.  Active Load Control in Islanded Microgrids Based on the Grid Voltage , 2011, IEEE Transactions on Smart Grid.

[5]  A. Culyer,et al.  Framework of the Evaluation , 1990 .

[6]  Kit Po Wong,et al.  Short-term operational planning framework for virtual power plants with high renewable penetrations , 2016 .

[7]  H. Nikkhajoei,et al.  Distributed Generation Interface to the CERTS Microgrid , 2009, IEEE Transactions on Power Delivery.

[8]  Yingying Chen,et al.  Optimal Dispatch of Air Conditioner Loads in Southern China Region by Direct Load Control , 2016, IEEE Transactions on Smart Grid.

[9]  サイード アリ カージェホディン,et al.  Distributed generation interface , 2010 .

[10]  Hassan Ghasemi,et al.  Residential Microgrid Scheduling Based on Smart Meters Data and Temperature Dependent Thermal Load Modeling , 2014, IEEE Transactions on Smart Grid.

[11]  Junji Furusho,et al.  Development of rehabilitation system for the upper limbs in a NEDO project , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[12]  Kit Po Wong,et al.  A Multimarket Decision-Making Framework for GENCO Considering Emission Trading Scheme , 2013, IEEE Transactions on Power Systems.

[13]  Zhao Yang Dong,et al.  Assessing the Transmission Expansion Cost With Distributed Generation: An Australian Case Study , 2014, IEEE Transactions on Smart Grid.

[14]  René Thomsen,et al.  A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[15]  Zechun Hu,et al.  Photovoltaic and solar power forecasting for smart grid energy management , 2015 .

[16]  Kit Po Wong,et al.  Collector System Layout Optimization Framework for Large-Scale Offshore Wind Farms , 2016, IEEE Transactions on Sustainable Energy.

[17]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[18]  Junhao Wen,et al.  An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch , 2017, IEEE Transactions on Industrial Informatics.

[19]  Djiby-Racine Thiam,et al.  Renewable decentralized in developing countries: Appraisal from microgrids project in Senegal , 2010 .

[20]  Zhao Xu,et al.  Demand as Frequency Controlled Reserve , 2011, IEEE Transactions on Power Systems.

[21]  Bruno Francois,et al.  Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications , 2011, IEEE Transactions on Industrial Electronics.

[22]  Tyrone L. Vincent,et al.  Aggregate Flexibility of Thermostatically Controlled Loads , 2015, IEEE Transactions on Power Systems.

[23]  Fengji LUO,et al.  Direct load control by distributed imperialist competitive algorithm , 2014 .

[24]  V. Vittal,et al.  A Framework for Evaluation of Advanced Direct Load Control With Minimum Disruption , 2008, IEEE Transactions on Power Systems.