Abstract
This work presents the development of a decision-making strategy for fulfilling the power and heat demands of small residential neighborhoods. The decision on the optimal operation of a microgrid is based on the model predictive control (MPC) rolling horizon. In the design of the residential microgrid, the new approach different technologies, such as photovoltaic (PV) arrays, micro-combined heat and power (micro-CHP) units, conventional boilers and heat and electricity storage tanks are considered. Moreover, electricity transfer between the microgrid components and the national grid are possible. The MPC problem is formulated as a mixed integer linear programming (MILP) model. The proposed novel approach is applied to two case studies: one without electricity storage, and one integrated microgrid with electricity storage. The results show the benefits of considering the integrated microgrid, as well as the advantage of including electricity storage.
Highlights
In the traditional electrical grid, power is generated in large, centralized plants and transmitted to the end-user using one-directional flows [1]
Electricity demand can be met through purchase from the national grid, generation from the PV arrays and combined heat and power (CHP) units installed in the microgrid, as well as the power transmission network between the dwellings, and electricity available from storage
In this paper an model predictive control (MPC) rolling horizon approach is proposed for the development of a decision-making strategy for thehorizon optimalapproach operation a microgrid system designedoftoa
Summary
In the traditional electrical grid, power is generated in large, centralized plants and transmitted to the end-user using one-directional flows [1]. The method solves the optimization problem with a sequence of iterations, each of which models only part of the horizon in detail, while the rest is represented in an aggregate manner [40] Based on these characteristics, an MPC strategy based on the rolling horizon concept has the potential to achieve the global solution of the cost function over a specified period of time, while being able to acquire sufficient information on future conditions [41]. An MPC strategy based on the rolling horizon concept has the potential to achieve the global solution of the cost function over a specified period of time, while being able to acquire sufficient information on future conditions [41] This will enable improved decision-making in the design, operation, control, and planning of the DER system. It offers the capability to quickly asses the network at high level, without the need of rigorous modelling of the DER technologies
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