Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty

Networked microgrids (NMGs) are beneficial and economical for both microgrids’ owners and consumers as this structure could potentially play a significant role in energy efficiency, power system reliability and sustainability. Renewable energy sources (RESs) and sharp fluctuations in load consumption impose new challenges in solving operational problems in smart distribution grids. As a result, deterministic methods are not able to provide a precise analysis of microgrids operation and planning. Therefore, stochastic algorithms are used as powerful tools in ensuring reliable solutions especially in operation problems. In this paper, daily optimal scheduling problem of NMGs considering intermittent behavior in generation and load is investigated in a proposed energy management system (EMS). Two demand response programs (DRPs) based on time of use (TOU) and real time pricing (RTP) are integrated into the optimal scheduling model and the developed model is solved using a metaheuristic algorithm under uncertainties of RESs and loads. The numerical simulations show the effectiveness of the proposed model through comparison with solution from stochastic optimization.

[1]  Sajad Najafi Ravadanegh,et al.  A study on optimal power sharing in interconnected microgrids under uncertainty , 2016 .

[2]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[3]  H. Bevrani,et al.  Adaptive Energy Consumption Scheduling for Connected Microgrids Under Demand Uncertainty , 2013, IEEE Transactions on Power Delivery.

[4]  Sajad Najafi Ravadanegh,et al.  Optimal Power Dispatch of Multi-Microgrids at Future Smart Distribution Grids , 2015, IEEE Transactions on Smart Grid.

[5]  Amin Khodaei,et al.  Microgrid Optimal Scheduling With Multi-Period Islanding Constraints , 2014, IEEE Transactions on Power Systems.

[6]  Jiang Wu,et al.  Coordinated Multi-Microgrids Optimal Control Algorithm for Smart Distribution Management System , 2013, IEEE Transactions on Smart Grid.

[7]  Habib Allah Aalami,et al.  Regulation of market clearing price based on nonlinear models of demand bidding and emergency demand response programs , 2016 .

[8]  Jigar J. Shah,et al.  Cost-Optimal Consumption-Aware Electric Water Heating Via Thermal Storage Under Time-of-Use Pricing , 2016, IEEE Transactions on Smart Grid.

[9]  Qian Ai,et al.  Economic power transaction using coalitional game strategy in micro-grids , 2016 .

[10]  M. Smith,et al.  Key Connections: The U.S. Department of Energy?s Microgrid Initiative , 2012, IEEE Power and Energy Magazine.

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

[12]  Jamshid Aghaei,et al.  Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems) , 2013 .

[13]  Efstratios N. Pistikopoulos,et al.  A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids , 2015 .

[14]  Peng Kou,et al.  Distributed EMPC of multiple microgrids for coordinated stochastic energy management , 2017 .

[15]  Shouxiang Wang,et al.  Reliability-oriented distribution network reconfiguration considering uncertainties of data by interval analysis , 2012 .

[16]  Efstratios N. Pistikopoulos,et al.  Energy production planning of a network of micro combined heat and power generators , 2013 .

[17]  Amin Khodaei,et al.  Resiliency-Oriented Microgrid Optimal Scheduling , 2014, IEEE Transactions on Smart Grid.

[18]  Yusuf Al-Turki,et al.  Hierarchical Coordination of a Community Microgrid With AC and DC Microgrids , 2015, IEEE Transactions on Smart Grid.

[19]  Yong Fu,et al.  Optimal Operation of Active Distribution Grids: A System of Systems Framework , 2014, IEEE Transactions on Smart Grid.

[20]  Vassilios G. Agelidis,et al.  Optimal scheduling of renewable micro-grids considering plug-in hybrid electric vehicle charging demand , 2016 .

[21]  Jingrui Zhang,et al.  A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints , 2016 .

[22]  Suryanarayana Doolla,et al.  Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids , 2013, IEEE Transactions on Industrial Electronics.

[23]  Mohammad Shahidehpour,et al.  New Metrics for Assessing the Reliability and Economics of Microgrids in Distribution System , 2013, IEEE Transactions on Power Systems.

[24]  Sajad Najafi Ravadanegh,et al.  Reliability evaluation of multi-microgrids considering optimal operation of small scale energy zones under load-generation uncertainties , 2016 .

[25]  Jianhui Wang,et al.  Coordinated dispatch in multiple cooperative autonomous islanded microgrids , 2016 .

[26]  Mohammad Shahidehpour,et al.  Optimal Demand Response Aggregation in Wholesale Electricity Markets , 2013, IEEE Transactions on Smart Grid.

[27]  Na Yu,et al.  Optimal TOU Decision Considering Demand Response Model , 2006, 2006 International Conference on Power System Technology.

[28]  Wenxin Liu,et al.  Distributed Dynamic Programming-Based Approach for Economic Dispatch in Smart Grids , 2015, IEEE Transactions on Industrial Informatics.

[29]  Hak-Man Kim,et al.  A Resilient and Privacy-Preserving Energy Management Strategy for Networked Microgrids , 2018, IEEE Transactions on Smart Grid.

[30]  Jianhui Wang,et al.  Networked Microgrids for Self-Healing Power Systems , 2016, IEEE Transactions on Smart Grid.

[31]  Chris Marnay,et al.  Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming , 2013 .

[32]  Pierluigi Siano,et al.  Robust day-ahead scheduling of smart distribution networks considering demand response programs , 2016 .

[33]  Masood Parvania,et al.  Demand Response Scheduling by Stochastic SCUC , 2010, IEEE Transactions on Smart Grid.

[34]  C. Goldman Coordination of Energy Efficiency and Demand Response , 2010 .

[35]  D. Draper,et al.  Stochastic Optimization: a Review , 2002 .

[36]  S. X. Chen,et al.  Multi-Agent System for Distributed Management of Microgrids , 2015, IEEE Transactions on Power Systems.

[37]  Claudio A. Canizares,et al.  A centralized optimal energy management system for microgrids , 2011, 2011 IEEE Power and Energy Society General Meeting.

[38]  D. Kirschen,et al.  Fundamentals of power system economics , 1991 .

[39]  Reza Noroozian,et al.  Multi-microgrids approach for design and operation of future distribution networks based on novel technical indices , 2017 .

[40]  Dipti Srinivasan,et al.  A multi-agent based distributed energy management scheme for smart grid applications , 2016 .

[41]  Yasser Abdel-Rady I. Mohamed,et al.  Optimum Microgrid Design for Enhancing Reliability and Supply-Security , 2013, IEEE Transactions on Smart Grid.

[42]  Mahmoud-Reza Haghifam,et al.  Stochastic-based scheduling of the microgrid operation including wind turbines, photovoltaic cells, energy storages and responsive loads , 2015 .