9,054 research outputs found
Distributed MPC for coordinated energy efficiency utilization in microgrid systems
To improve the renewable energy utilization of distributed microgrid systems, this paper presents an optimal distributed model predictive control strategy to coordinate energy management among microgrid systems. In particular, through information exchange among systems, each microgrid in the network, which includes renewable generation, storage systems, and some controllable loads, can maintain its own systemwide supply and demand balance. With our mechanism, the closed-loop stability of the distributed microgrid systems can be guaranteed. In addition, we provide evaluation criteria of renewable energy utilization to validate our proposed method. Simulations show that the supply demand balance in each microgrid is achieved while, at the same time, the system operation cost is reduced, which demonstrates the effectiveness and efficiency of our proposed policy.Accepted manuscrip
A New Efficient Stochastic Energy Management Technique for Interconnected AC Microgrids
Cooperating interconnected microgrids with the Distribution System Operation
(DSO) can lead to an improvement in terms of operation and reliability. This
paper investigates the optimal operation and scheduling of interconnected
microgrids highly penetrated by renewable energy resources (DERs). Moreover, an
efficient stochastic framework based on the Unscented Transform (UT) method is
proposed to model uncertainties associated with the hourly market price, hourly
load demand and DERs output power. Prior to the energy management, a newly
developed linearization technique is employed to linearize nodal equations
extracted from the AC power flow. The proposed stochastic problem is formulated
as a single-objective optimization problem minimizing the interconnected AC MGs
cost function. In order to validate the proposed technique, a modified IEEE 69
bus network is studied as the test case
Distributed Energy Trading: The Multiple-Microgrid Case
In this paper, a distributed convex optimization framework is developed for
energy trading between islanded microgrids. More specifically, the problem
consists of several islanded microgrids that exchange energy flows by means of
an arbitrary topology. Due to scalability issues and in order to safeguard
local information on cost functions, a subgradient-based cost minimization
algorithm is proposed that converges to the optimal solution in a practical
number of iterations and with a limited communication overhead. Furthermore,
this approach allows for a very intuitive economics interpretation that
explains the algorithm iterations in terms of "supply--demand model" and
"market clearing". Numerical results are given in terms of convergence rate of
the algorithm and attained costs for different network topologies.Comment: 24 pages, 8 figures; new version answering reviewers' comments; the
paper is now accepted for publication in the IEEE Transactions on Industrial
Electronics; the paper is now publishe
Improving the Sustainability of Self-Consumption with Cooperative DC Microgrids
[EN] The development of microgrids is of great interest to facilitate the integration of distributed generation in electricity networks, improving the sustainability of energy production. Microgrids in DC (DC-MG) provide advantages for the use of some types of renewable generation and energy storage systems, such as batteries. In this article, a possible practical implementation of an isolated DC-MG for residential use with a cooperative operation of the different nodes is proposed. The main criterion is to achieve a very simple design with only primary control in a residential area. This application achieves a simple system, with low implementation costs, in which each user has autonomy but benefits from the support of the other users connected to the microgrid, which improves its reliability. The description of the elements necessary to create this cooperative system is one of the contributions of the work. Another important contribution is the analysis of the operation of the microgrid as a whole, where each node can be, arbitrarily, a consumer or an energy generator. The proposed structures could promote the use of small distributed generation and energy storage systems as the basis for a new paradigm of a more sustainable electricity grid of the future.This work has been partially supported by funds for research support of the Universitat Politècnica
de ValènciaRoldán-Porta, C.; Roldán-Blay, C.; Escrivá-Escrivá, G.; Quiles Cucarella, E. (2019). Improving the Sustainability of Self-Consumption with Cooperative DC Microgrids. Sustainability. 11(19):1-22. https://doi.org/10.3390/su11195472S1221119Justo, J. J., Mwasilu, F., Lee, J., & Jung, J.-W. (2013). AC-microgrids versus DC-microgrids with distributed energy resources: A review. Renewable and Sustainable Energy Reviews, 24, 387-405. doi:10.1016/j.rser.2013.03.067Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18-28. doi:10.1109/mpe.2009.934876Brown, R. E., & Willis, H. L. (2006). The economics of aging infrastructure. IEEE Power and Energy Magazine, 4(3), 36-43. doi:10.1109/mpae.2006.1632452Asmus, P. (2010). Microgrids, Virtual Power Plants and Our Distributed Energy Future. The Electricity Journal, 23(10), 72-82. doi:10.1016/j.tej.2010.11.001Barreto, R. A. (2018). Fossil fuels, alternative energy and economic growth. 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Stability improvement of DC grids involving a large number of parallel solar power optimizers: An active damping approach. Applied Energy, 203, 364-372. doi:10.1016/j.apenergy.2017.06.044Lazzari, R., Piegari, L., Grillo, S., Carminati, M., Ragaini, E., Bossi, C., & Tironi, E. (2018). Selectivity and security of DC microgrid under line-to-ground fault. Electric Power Systems Research, 165, 238-249. doi:10.1016/j.epsr.2018.09.001Salomonsson, D., Soder, L., & Sannino, A. (2009). Protection of Low-Voltage DC Microgrids. IEEE Transactions on Power Delivery, 24(3), 1045-1053. doi:10.1109/tpwrd.2009.2016622Shuai, Z., Fang, J., Ning, F., & Shen, Z. J. (2018). Hierarchical structure and bus voltage control of DC microgrid. Renewable and Sustainable Energy Reviews, 82, 3670-3682. doi:10.1016/j.rser.2017.10.096Van den Broeck, G., Stuyts, J., & Driesen, J. (2018). A critical review of power quality standards and definitions applied to DC microgrids. Applied Energy, 229, 281-288. doi:10.1016/j.apenergy.2018.07.058Anand, S., Fernandes, B. G., & Guerrero, J. (2013). Distributed Control to Ensure Proportional Load Sharing and Improve Voltage Regulation in Low-Voltage DC Microgrids. IEEE Transactions on Power Electronics, 28(4), 1900-1913. doi:10.1109/tpel.2012.2215055Radwan, A. A. A., & Mohamed, Y. A.-R. I. (2012). Linear Active Stabilization of Converter-Dominated DC Microgrids. IEEE Transactions on Smart Grid, 3(1), 203-216. doi:10.1109/tsg.2011.2162430Che, Y., Zhou, J., Lin, T., Li, W., & Xu, J. (2018). A Simplified Control Method for Tie-Line Power of DC Micro-Grid. Energies, 11(4), 933. doi:10.3390/en11040933Huang, Y., Yang, L., Liu, S., & Wang, G. (2018). Cooperation between Two Micro-Grids Considering Power Exchange: An Optimal Sizing Approach Based on Collaborative Operation. Sustainability, 10(11), 4198. doi:10.3390/su10114198González, A., Riba, J.-R., & Rius, A. (2015). Optimal Sizing of a Hybrid Grid-Connected Photovoltaic–Wind–Biomass Power System. Sustainability, 7(9), 12787-12806. doi:10.3390/su70912787Maleki, A., Rosen, M., & Pourfayaz, F. (2017). Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications. Sustainability, 9(8), 1314. doi:10.3390/su9081314Roldán-Blay, C., Escrivá-Escrivá, G., & Roldán-Porta, C. (2019). Improving the benefits of demand response participation in facilities with distributed energy resources. Energy, 169, 710-718. doi:10.1016/j.energy.2018.12.102Mao, M., Jin, P., Chang, L., & Xu, H. (2014). Economic Analysis and Optimal Design on Microgrids With SS-PVs for Industries. IEEE Transactions on Sustainable Energy, 5(4), 1328-1336. doi:10.1109/tste.2014.2327067Elrayyah, A., Cingoz, F., & Sozer, Y. (2015). Construction of Nonlinear Droop Relations to Optimize Islanded Microgrid Operation. 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Incentivizing Energy Trading for Interconnected Microgrids. IEEE Transactions on Smart Grid, 9(4), 2647-2657. doi:10.1109/tsg.2016.2614988Wang, H., & Huang, J. (2016). Cooperative Planning of Renewable Generations for Interconnected Microgrids. IEEE Transactions on Smart Grid, 7(5), 2486-2496. doi:10.1109/tsg.2016.2552642Kasaei, M. J., Gandomkar, M., & Nikoukar, J. (2017). Optimal management of renewable energy sources by virtual power plant. Renewable Energy, 114, 1180-1188. doi:10.1016/j.renene.2017.08.010Gao, Y., Cheng, H., Zhu, J., Liang, H., & Li, P. (2016). The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather. Sustainability, 8(1), 71. doi:10.3390/su8010071Khan, Z. A., & Jayaweera, D. (2017). Approach for smart meter load profiling in Monte Carlo simulation applications. 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A review of microgrid development in the United States – A decade of progress on policies, demonstrations, controls, and software tools
Microgrids have become increasingly popular in the United States. Supported by favorable federal and local policies, microgrid projects can provide greater energy stability and resilience within a project site or community. This paper reviews major federal, state, and utility-level policies driving microgrid development in the United States. Representative U.S. demonstration projects are selected and their technical characteristics and non-technical features are introduced. The paper discusses trends in the technology development of microgrid systems as well as microgrid control methods and interactions within the electricity market. Software tools for microgrid design, planning, and performance analysis are illustrated with each tool's core capability. Finally, the paper summarizes the successes and lessons learned during the recent expansion of the U.S. microgrid industry that may serve as a reference for other countries developing their own microgrid industries
Optimal Economic Schedule for a Network of Microgrids With Hybrid Energy Storage System Using Distributed Model Predictive Control
Artículo Open Access en el sitio web el editor. Pago por publicar en abierto.In this paper, an optimal procedure for the economic schedule of a network of interconnected microgrids with hybrid energy storage system is carried out through a control algorithm based on distributed model predictive control (DMPC). The algorithm is specifically designed according to the criterion of improving the cost function of each microgrid acting as a single system through the network mode operation. The algorithm allows maximum economical benefit of the microgrids, minimizing the degradation causes of each storage system, and fulfilling the different system constraints. In order to capture both continuous/discrete dynamics and switching between different operating conditions, the plant is modeled with the framework of mixed logic dynamic. The DMPC problem is solved with the use of mixed integer linear programming using a piecewise formulation, in order to linearize a mixed integer quadratic programming problem.Ministerio de Economía, Industria y Competitivadad DPI2016-78338-RComisión Europea 0076-AGERAR-6-
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