Optimization and energy management of a standalone hybrid microgrid in the presence of battery storage system

Abstract In this study, an optimal energy scheduling of a standalone microgrid under system uncertainties is investigated and several operational strategies are tested to evaluate the system performance. The main objective of the proposed optimization energy management system is to improve energy utilization efficiency, decrease system fuel cost and gas emissions reduction by planning generations of energy resources hourly for the next day. The system is modeled as a constrained single-objective optimization problem in order to minimize the operation and generated emission costs. Employing an advanced dynamic programming method, the optimization problem is solved. In order to achieve optimal utilization of renewable resources in a microgrid environment and system cost-effective operations, the effectiveness of a battery storage unit has to be examined. Two different operational policies are investigated to examine the system behavior, where the energy production of a microgrid is supplied by generation units with and without access to a battery storage system. The obtained results show a considerable reduction in system total cost and produced emissions when the MG has access to battery storage system in the proposed second policy. Simulation results demonstrate the feasibility and effectiveness of the proposed technique in microgrid energy planning and implementation.

[1]  Bo Zhao,et al.  Operation Optimization of Standalone Microgrids Considering Lifetime Characteristics of Battery Energy Storage System , 2013, IEEE Transactions on Sustainable Energy.

[2]  Ioan Serban,et al.  Battery energy storage system for frequency support in microgrids and with enhanced control features for uninterruptible supply of local loads , 2014 .

[3]  Gopakumar Pathirikkat,et al.  Hybrid Ring Microgrid with Coordinated Energy Management Scheme , 2016 .

[4]  Fangxing Li,et al.  Energy Management System for Stand-Alone Wind-Powered-Desalination Microgrid , 2016, IEEE Transactions on Smart Grid.

[5]  J. B. Almada,et al.  A centralized and heuristic approach for energy management of an AC microgrid , 2016 .

[6]  Mohammad Hassan Moradi,et al.  Optimal management of microgrids including renewable energy scources using GPSO-GM algorithm , 2016 .

[7]  E.F. El-Saadany,et al.  Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization , 2010, IEEE Transactions on Power Systems.

[8]  Mehdi Ehsan,et al.  A Probabilistic Modeling of Photo Voltaic Modules and Wind Power Generation Impact on Distribution Networks , 2012, IEEE Systems Journal.

[9]  B. Francois,et al.  Linear programming based optimization tool for day ahead energy management of a lithium-ion battery for an industrial microgrid , 2016, 2016 IEEE International Power Electronics and Motion Control Conference (PEMC).

[10]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[11]  Mumtaz Karatas,et al.  A robust optimization approach to hybrid microgrid operation using ensemble weather forecasts , 2017 .

[12]  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.

[13]  Fan Zhang,et al.  Operation of networked microgrids in a distribution system , 2015 .

[14]  Heikki N. Koivo,et al.  System modelling and online optimal management of MicroGrid using Mesh Adaptive Direct Search , 2010 .

[15]  Robert Dobson,et al.  Customer domain supply and load coordination: A case for smart villages and transactive control in rural off-grid microgrids , 2017 .

[16]  H. Shayeghi,et al.  Demand side management in a smart micro-grid in the presence of renewable generation and demand response , 2017 .

[17]  Asghar Akbari Foroud,et al.  Stochastic-based resource expansion planning for a grid-connected microgrid using interval linear programming , 2016 .

[18]  Luhao Wang,et al.  Integrated scheduling of energy supply and demand in microgrids under uncertainty: A robust multi-objective optimization approach , 2017 .

[19]  M. M. Ardehali,et al.  A novel approach for optimal economic dispatch scheduling of integrated combined heat and power systems for maximum economic profit and minimum environmental emissions based on Benders decomposition , 2016 .

[20]  Shengli Kong,et al.  Design and Realization of Microgrid Composing of Photovoltaic and Energy Storage System , 2011 .

[21]  R. Robinett,et al.  Dynamic Programming Method for Constrained Discrete-Time Optimal Control , 1999 .

[22]  Haibin Yu,et al.  A stochastic programming strategy in microgrid cyber physical energy system for energy optimal operation , 2015, IEEE/CAA Journal of Automatica Sinica.

[23]  Amir Abtahi,et al.  Modeling a Hybrid Microgrid Using Probabilistic Reconfiguration under System Uncertainties , 2017 .

[24]  Yenhaw Chen,et al.  Stochastic programming and market equilibrium analysis of microgrids energy management systems , 2016 .

[25]  Andreas Sumper,et al.  Real time experimental implementation of optimum energy management system in standalone Microgrid by using multi-layer ant colony optimization , 2016 .

[26]  Jay H. Lee,et al.  Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty , 2017 .

[27]  Bundit Limmeechokchai,et al.  Optimal electricity development by increasing solar resources in diesel-based micro grid of island society in Thailand , 2017 .

[28]  Mohammad Shahidehpour,et al.  Toward a Cyber Resilient and Secure Microgrid Using Software-Defined Networking , 2017, IEEE Transactions on Smart Grid.

[29]  M. M. Ardehali,et al.  Operational performance of energy storage as function of electricity prices for on-grid hybrid renewable energy system by optimized fuzzy logic controller , 2016 .

[30]  Inmaculada Zamora,et al.  Hybrid fuel cells technologies for electrical microgrids , 2010 .

[31]  Taher Niknam,et al.  Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm , 2012 .

[32]  Amir Abtahi,et al.  Optimal operation of a multi-source microgrid to achieve cost and emission targets , 2016, 2016 IEEE Power and Energy Conference at Illinois (PECI).

[33]  Malabika Basu,et al.  A Review of Existing Microgrid Architectures , 2013 .

[34]  Stefano Cordiner,et al.  Grid-connected Microgrids to Support Renewable Energy Sources Penetration☆ , 2017 .

[35]  M Castilla,et al.  Hierarchical Control of Intelligent Microgrids , 2010, IEEE Industrial Electronics Magazine.

[36]  Jun Jun Li.  Modeling and Simulation of Micro Gas turbine Generation System for Grid Connected Operation , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[37]  M. Reyasudin Basir Khan,et al.  Multi-agent based distributed control architecture for microgrid energy management and optimization , 2016 .

[38]  S. M. Moghaddas-Tafreshi,et al.  Microgrid operation and management using probabilistic reconfiguration and unit commitment , 2016 .

[39]  Abdellatif Miraoui,et al.  Sizing of a stand-alone microgrid considering electric power, cooling/heating and hydrogen , 2017, 2017 IEEE Manchester PowerTech.

[40]  Li He,et al.  Stochastic dominant-subordinate-interactive scheduling optimization for interconnected microgrids with considering wind-photovoltaic-based distributed generations under uncertainty , 2017 .

[41]  Alagan Anpalagan,et al.  A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids , 2016 .