Least-cost model predictive control of residential energy resources when applying ?mCHP

Least-cost model predictive control of residential energy resources when applying ?mCHP

Houwing, M.
Negenborn, R.R.
Heijnen, P.W.
De Schutter, B.
Hellendoorn, H.

Technology, Policy and Management

Infrastructures, Systems and Services

2007-07-01

With an increasing use of distributed energy resources and intelligence in the electricity infrastructure, the possibilities for minimizing costs of household energy consumption increase. Technology is moving toward a situation in which households manage their own energy generation and consumption, possibly in cooperation with each other. As a first step, in this paper a decentralized controller based on model predictive control is proposed. For an individual household using a micro combined heat and power (muCHP) plant in combination with heat and electricity storages the controller determines what the actions are that minimize the operational costs of fulfilling residential electricity and heat requirements subject to operational constraints. Simulation studies illustrate the performance of the proposed control scheme, which is substantially more cost effective compared with a control approach that does not include predictions on the system it controls.

cogeneration
decentralised control
distributed power generation
energy consumption
power system control
predictive control

http://resolver.tudelft.nl/uuid:c072c05d-03a6-4556-a4bc-37376a515c63

https://doi.org/10.1109/PCT.2007.4538355

IEEE

9781424421893

Proceedings of Power Tech 2007, 1-5 July 2007, Lausanne, Switzerland

Institutional Repository

conference paper

(c) 2007 The Author(s)
IEEE