Components design and daily operation optimization of a hybrid system with energy storages

The study and the optimization of single devices, plants and integrated systems among producers and users, must be performed considering the possibility of energy storage and conversion among different forms of energy in order to reach the best overall energetic and environmental performance. Small CHP distributed plants are particularly interested in these challenges, both in stand-alone and grid-connected configurations. In this paper, the optimal design and management strategy of a trigeneration system composed by a PV plant, a diesel CHP engine, a reversible heat pump and a boiler is studied. The possibility of hybrid storage by means of a hot and a cold reservoirs, a pack of batteries, and a pumped hydro energy storage is investigated. By applying a model based on the Particle Swarm Optimization, the devices size and the operation strategy are simultaneously optimized. The most suitable devices' hourly-based operation profile and the best management strategy of the energy storages are predicted. The minimization of the overall costs is the problem's optimization target, while the main constrain is the fulfillment of the users' request of electricity, heat, cooling and drinking water.

[1]  Dagnija Blumberga,et al.  Life cycle assessment of biohydrogen production in photosynthetic processes , 2011 .

[2]  Goran Andersson,et al.  Reliability modeling of multi-carrier energy systems , 2009 .

[3]  Joel Hernández-Santoyo,et al.  Trigeneration: an alternative for energy savings , 2003 .

[4]  Russell C. Eberhart,et al.  Comparison between Genetic Algorithms and Particle Swarm Optimization , 1998, Evolutionary Programming.

[5]  Ozan Erdinc,et al.  Optimum design of hybrid renewable energy systems: Overview of different approaches , 2012 .

[6]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[7]  Luai M. Al-Hadhrami,et al.  Study of a solar PV–diesel–battery hybrid power system for a remotely located population near Rafha, Saudi Arabia , 2010 .

[8]  Adrian Ilinca,et al.  Energy storage systems—Characteristics and comparisons , 2008 .

[9]  Lingfeng Wang,et al.  PSO-Based Multi-Criteria Optimum Design of A Grid-Connected Hybrid Power System With Multiple Renewable Sources of Energy , 2007, 2007 IEEE Swarm Intelligence Symposium.

[10]  Seyed Hossein Hosseinian,et al.  Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO , 2012 .

[11]  Mohd Amran Mohd Radzi,et al.  Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review , 2012 .

[12]  Chee Wei Tan,et al.  Assessment of economic viability for PV/wind/diesel hybrid energy system in southern Peninsular Malaysia , 2012 .

[13]  Chantal Ruppert-Winkel,et al.  Moving towards Energy Self-Sufficiency Based on Renewables: Comparative Case Studies on the Emergence of Regional Processes of Socio-Technical Change in Germany , 2012 .

[14]  Giovanna Cavazzini,et al.  A PSO (particle swarm optimization)-based model for the optimal management of a small PV(Photovoltaic)-pump hydro energy storage in a rural dry area , 2014 .

[15]  K. Strunz,et al.  A review of hybrid renewable/alternative energy systems for electric power generation: Configurations, control and applications , 2011, 2012 IEEE Power and Energy Society General Meeting.

[16]  Tarek Y. ElMekkawy,et al.  Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach , 2014 .

[17]  Stavros A. Papathanassiou,et al.  Optimum sizing of wind-pumped-storage hybrid power stations in island systems , 2014 .

[18]  Russell C. Eberhart,et al.  Tracking and optimizing dynamic systems with particle swarms , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[19]  G. J. Rios-Moreno,et al.  Optimal sizing of renewable hybrids energy systems: A review of methodologies , 2012 .

[20]  Shu-Kai S. Fan,et al.  A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search , 2006, Comput. Ind. Eng..

[21]  Prabodh Bajpai,et al.  Hybrid renewable energy systems for power generation in stand-alone applications: A review , 2012 .

[22]  Giovanna Cavazzini,et al.  Optimal Design and Management of a Hybrid Photovoltaic-Pump Hydro Energy Storage System , 2014 .

[23]  B. Walczak,et al.  Particle swarm optimization (PSO). A tutorial , 2015 .

[24]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[25]  Rafic Younes,et al.  Optimization of diesel engine performances for a hybrid wind–diesel system with compressed air energy storage , 2011 .

[26]  R. Eberhart,et al.  Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[27]  Alberto Mirandola,et al.  A model for the optimal design and management of a cogeneration system with energy storage , 2016 .

[28]  Münevver Özge Balta,et al.  Spatial Reflection of Urban Planning in Metropolitan Areas and Urban Rent; a Case Study of Cayyolu, Ankara , 2011 .

[29]  S.M.M. Tafreshi,et al.  Unit Sizing of a Stand-alone Hybrid Power System Using Particle Swarm Optimization (PSO) , 2007, 2007 IEEE International Conference on Automation and Logistics.

[30]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[31]  Pierluigi Mancarella,et al.  Matrix modelling of small-scale trigeneration systems and application to operational optimization , 2009 .

[32]  Paul Denholm,et al.  Role of Energy Storage with Renewable Electricity Generation , 2010 .

[33]  John K. Kaldellis,et al.  Optimum energy storage techniques for the improvement of renewable energy sources-based electricity generation economic efficiency , 2007 .

[34]  Qiong Wu,et al.  Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects , 2010 .

[35]  Pierluigi Mancarella,et al.  Distributed multi-generation: A comprehensive view , 2009 .

[36]  Ibrahim Dincer,et al.  Energy and Environmental Impacts: Present and Future Perspectives , 1998 .

[37]  R. Eberhart,et al.  Fuzzy adaptive particle swarm optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[38]  A. Hadj Arab,et al.  Feasibility study of hybrid Diesel–PV power plants in the southern of Algeria: Case study on AFRA power plant , 2012 .