Assessing the effectiveness of decision making frameworks in local energy systems

This paper investigates the effectiveness of using different decision-making frameworks in local energy systems (LES) through the assessment of the long-term equilibrium of energy players. For this purpose, the energy system is modelled through two levels of multi-energy player (MEP) and LES, coupled by energy price signals. The conflict between the decision-making of these two levels of players is modelled through a bi-level approach. A mathematical problem with equilibrium constraint is formulated by applying the duality theory, resorting to a linear representation of the constraints. The solution is found by using the CPLEX12 solver. The numerical results show the characteristics of the MEP behaviour in different energy aggregation modes for the LES, with centralised management or uniform pricing. The MEP may find benefits from possible synergies among the LES due to availability of energy carriers with complementary characteristics.

[1]  Martin Geidl,et al.  Integrated Modeling and Optimization of Multi-Carrier Energy Systems , 2007 .

[2]  G. Andersson,et al.  Energy hubs for the future , 2007, IEEE Power and Energy Magazine.

[3]  Henrik Madsen,et al.  A bilevel model for electricity retailers' participation in a demand response market environment , 2013 .

[4]  A. Conejo,et al.  Generation Investment Equilibria With Strategic Producers—Part I: Formulation , 2013, IEEE Transactions on Power Systems.

[5]  Adrian S. Lewis,et al.  Convex Analysis And Nonlinear Optimization , 2000 .

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

[7]  Mahmud Fotuhi-Firuzabad,et al.  A Decomposed Solution to Multiple-Energy Carriers Optimal Power Flow , 2014, IEEE Transactions on Power Systems.

[8]  J. Borwein,et al.  Convex Analysis And Nonlinear Optimization , 2000 .

[9]  B. De Schutter,et al.  Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks , 2010 .

[10]  João P. S. Catalão,et al.  Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources , 2015, IEEE Transactions on Smart Grid.

[11]  N. Amjady,et al.  Stochastic Multiobjective Market Clearing of Joint Energy and Reserves Auctions Ensuring Power System Security , 2009, IEEE Transactions on Power Systems.

[12]  G. Andersson,et al.  Optimal Power Flow of Multiple Energy Carriers , 2007, IEEE Transactions on Power Systems.

[13]  João P. S. Catalão,et al.  Modeling Operational Behavior of Plug-in Electric Vehicles’ Parking Lot in Multienergy Systems , 2016, IEEE Transactions on Smart Grid.