A Model Predictive Control-Based Decision-Making Strategy for Residential Microgrids
نویسندگان
چکیده
This work presents the development of a decision-making strategy for fulfilling power and heat demands small residential neighborhoods. The decision on optimal operation microgrid is based model predictive control (MPC) rolling horizon. In design microgrid, new approach different technologies, such as photovoltaic (PV) arrays, micro-combined (micro-CHP) units, conventional boilers electricity storage tanks are considered. Moreover, transfer between components national grid possible. MPC problem formulated mixed integer linear programming (MILP) model. proposed novel applied to two case studies: one without storage, integrated with storage. results show benefits considering well advantage including
منابع مشابه
A Robust Control Strategy for Distributed Generations in Islanded Microgrids
This paper presents a robust control scheme for distributed generations (DGs) in islanded mode operation of a microgrid (MG). In this strategy, assuming a dynamic slack bus with constant voltage magnitude and phase angle, nonlinear equations of the MG are solved in the slack-voltage-oriented synchronous reference frame, and the instantaneous active and reactive power reference for the slack bus...
متن کاملAdaptive Fuzzy Model-Based Predictive Control Using Fuzzy Decision- Making
Motivated by the need to develop more effective methods of controlling uncertain non-linear systems, this paper focus on developing an adaptive fuzzy model-based controller, in which the optimisation variables remain in the fuzzy domain. The scheme uses an on-line fuzzy identification scheme, which is able to generate a fuzzy relational model using the training data from the system. The propose...
متن کاملMinimax Model Predictive Operation Control of Microgrids
Due to the steady growth of decentralised distributed generation, the operational management of small, local electricity networks (microgrids) is becoming an increasing challenge to meet: How to provide an operational control for microgrids with a high share of renewable energy sources (RES) that is robust to perturbations? In this paper we address an optimal control problem (OCP) that maintain...
متن کاملA GA Model Development for Decision Making Under Reverse Logistics
Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to s...
متن کاملLearning-based model predictive control for Markov decision processes
We propose the use of Model Predictive Control (MPC) for controlling systems described by Markov decision processes. First, we consider a straightforward MPC algorithm for Markov decision processes. Then, we propose value functions, a means to deal with issues arising in conventional MPC, e.g., computational requirements and sub-optimality of actions. We use reinforcement learning to let an MPC...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Eng
سال: 2022
ISSN: ['2673-4117']
DOI: https://doi.org/10.3390/eng3010009