Corrective receding horizon scheduling of flexible distributed multi-energy microgrids

Significance Statement

Integration of renewable energy sources is generally initiated by incentives and the overall goal of the European Union is to approach the zero-emission generation goal. Unfortunately, passive integration of these sources close to the consumers could lead to considerable over investments necessitated by the critical enhancements on the distribution grid level. Above all, the design of all renewable energy systems and global energy policies must be put together in view of the latest strategic goal; at least 50% of energy production needs to be in the hands of final consumers. This also implies that a share of operational flexibility, curtailing the above limitations, will emanate from the distribution level via integration of technologies with the capacity to respond to various price signals.

A microgrid is a set of consumers, energy storages, and distributed generation coordinated to realize reliable supply to final consumers and exchanging a predetermined amount of energy with the rest of the system via a point of common coupling. However, scheduling the operation of a microgrid is prone to imprecise projection of the local renewable energy system or demand. If these imbalances are offset on the local level, microgrids can become flexibles nodes with the capacity to provide multiple flexibility services to the upstream system, therefore allowing for larger integration of renewable energy systems.

Ninoslav Holjevac, Tomislav Capuder and Igor Kuzle from the University of Zagreb in Croatia in collaboration with Ning Zhang and Chongqing Kang from Tsinghua University in China provided relevant contributions in the quantification of flexibility capacities of multi-energy microgrid. They developed an adaptive receding horizon Mixed Integer Liner Programming optimization model. The study focused on defining the impacts of various compositions of Multi-energy Microgrid and modeling aspects and approximations. Their research work is published in Applied Energy.

The authors presented an extensive multi-energy microgrid model that incorporated flow of various energy vectors including electricity, heating, cooling, and fossil fuel. The proposed model is linear meaning that it guarantees the optimality of results. The authors implemented the model to track the operation of various Multi-energy Microgrid arrangements via defined flexibility indicators for both on-grid and off-grid operation modes. In addition, the authors analyzed the impact of efficiency modeling.

The outcomes indicated that there was a considerable operational difference in flexibility and cost indicators when comparing various multi-energy microgrid arrangements consisting of varying production units. The efficiency modelling aspects affected both the process of developed receding horizon corrective control and the final operational points of the production units.

The authors observed that in the view of the multi-energy microgrid arrangement, the combination of distributed and centralized arrangements gave the best performance. Concerning the coupling of energy vectors, adding separate energy vectors increased flexibility by reducing the total cost, curtailed renewable energy, and wasted energy. The total energy usage on an annual scale were similar irrespective to the efficiency mode implemented.

The outcomes for various efficiency modes were different owing to frequent unit cycling in variable efficiency modeling scenarios. This was in view of the daily corrective Receding Horizon Model Predictive Control algorithm. Additional details concerning the interaction between the energy vectors will be analyzed in future work by the research team and addition of electric vehicles along with their inherent stochastic behavior will also be investigated.

Corrective receding horizon scheduling of flexible distributed multi-energy microgrids. Advances in Engineering

About the author

Ninoslav Holjevac is a research and teaching assistant at the Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia. He obtained his B.Sc. degree from University of Zagreb, in 2013. He is currently pursuing the Ph.D. degree at the University of Zagreb and is in final year of study. He got the award from Croatia energy Institute “Hrvoje Požar” for an outstanding master thesis and was the recipient of the Croatian scholarship for gifted students. He was a visiting researcher on the Tsinghua University from Sep. 2016 to Dec. 2017.

He is a member of Croatian National Committee CIGRE and is an active member of IEEE since 2012. where he is currently serving as a vice-chair of the Croatian PES Chapter.

His scientific interests include problems in electric power systems planning and operation, microgrids control, multi energy systems and integration of renewable energy sources.

About the author

Tomislav Capuder is an assistant profesor at the Faculty of Electrical Engineering, University of Zagreb. He received his PhD in 2014 from the University of Zagreb Faculty of Electrical Engineering and Computing, Department of Energy and Power Systems on the topic “Market and Environment Driven Optimization of Flexible Distributed Multi-Generation” and was awarded “Josip Lončar” award for the best doctorate thesis and “Outstanding research achievements” award of the Faculty of electrical engineering and computing. In 2012 and 2013 he was a visiting researcher at the University of Manchester.

He serves as an associate editor of two international scientific journals and project leader of several international scientific projects. He is the Chair of IEEE Croatian Power and Energy and a member of Croatian technical associations CIGRE and SDEWES.

His areas of expertise include: power and energy systems operation, planning and modelling, integrated infrastructures, distributed energy systems, energy markets and multi-energy system.

About the author

Ning Zhang is an associate professor in the Department of Electrical Engineering, Tsinghua University. He got his B.Sc. degree from Tsinghua University, Beijing, China in 2007. He got his Ph.D of electrical engineering with Excellent Doctoral Thesis Award and Excellent Graduate Student Award from Tsinghua University in 2012. He completed his post doctor in Tsinghua University and start to work in Tsinghua University in 2014. He was a research associate in The University of Manchester from Oct. 2010 to Jul. 2011 and a research assistant in Harvard University from Dec. 2013 to Mar 2014.

He is the recipient of the Young Elite Scientists Sponsorship Program by Chinese Association of Science and Technology in 2016. He was awarded the twelfth Tsinghua University-Yokoyama Ryoji outstanding paper award, one hundred most influential papers and top articles in outstanding S&T journal of China.

His research interests include multiple energy system, power system planning and operation with renewable energy (wind power photovoltaic, concentrated solar power).

About the author

Igor Kuzle is a Full Professor and the Head of the Department of Energy and Power Systems at the University of Zagreb, Faculty of Electrical Engineering. He received his PhD from University of Zagreb in 2002. He is a recipient of the “Science” award of the University of Zagreb and numerous IEEE awards for outstanding service.

He serves in 12 international journals as an associate editor or a member of the editorial board. He was the project leader for more 10 scientific projects and more than 60 technical projects for industry and electric power companies. He is an active member of IEEE (S’94-M’97-SM’04). He has been the IEEE PES Chapter Representative for Central Europe and Scandinavia since 2010 and IEEE Croatia Section Chair (2009-2012). He is CIGRE member and was a member of the Croatian National Committee CIGRE executive board (2009-2012).
Igor Kuzle is a Full Professor and the Head of the Department of Energy and Power Systems at the University of Zagreb, Faculty of Electrical Engineering. He received his PhD from University of Zagreb in 2002. He is a recipient of the “Science” award of the University of Zagreb and numerous IEEE awards for outstanding service.

His scientific interests include problems in electric power systems dynamics and control, unit commitment, maintenance of electrical equipment, as well as power system analysis, smart grids and integration of renewable energy sources.

About the author

Chongqing Kang is a full professor and the Chairman of Executive Committee of Department of Electrical Engineering. He holds Bachelor’s degrees of both Electrical Power Engineering and Environmental Engineering in 1993, and a Ph.D in Electrical Power Engineering from Tsinghua University in 1997. He has been appointed Professor of Electrical Engineering Department of Tsinghua University since 2005. From 2011 to 2014 he was the Director of Centre for Teaching Excellence, Tsinghua Univ. He is the recipient of the National Science Fund for Distinguished Young Scholars. He is Fellow of IEEE and IET. He is the senior member of CSEE.

He has been on the editorial board of 5 international journals including IEEE Transactions on Power Systems and Electric Power Systems Research and 4 Chinese journals indexed by EI. He won the second prize of National Teaching Achievement Award in 2014. He and his team was granted the Institute Prize in Global Energy Forecasting Competition in 2014. He was granted one gold award and one silver award in the 44th International Exhibition of Inventions in Geneva in 2016.

His research interest focused on power system planning, power system operation, renewable energy, low carbon electricity technology, load forecasting and electric market.

Reference

Ninoslav Holjevac, Tomislav Capuder, Ning Zhang, Igor Kuzle, Chongqing Kang. Corrective receding horizon scheduling of flexible distributed multi-energy microgrids. Applied energy. Volume 207, 1 December 2017, Pages 176-194.

 

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