Viliam Dolinay

Simulation Model of a Smart Grid with an Integrated Large Heat Source

Abstract The purpose of this research is to improve an existing simulation model to provide a tool for effectively dealing with heating requirements in Intelligent Cities and Smart Grid Systems. The goal is to show that existing, large heating sources can become a valuable part of such systems and be connected as heat sources and not just electricity power producers. The first part of this article involves a Requirements Analysis and the design of the structure to be modeled. The second part shows the simulation experiments and results. The results provide valuable information regarding the possibility of using large heating sources and address their role in Intelligent Cities and Smart Grids.

Simulation Model Of The Municipal Heat Distribution Systems.

This paper deals with the topics of heat consumption in the municipal heat distribution systems and problems linked with modeling and simulation of systems providing heat supply. These systems will be called SHDC (System of Heat Distribution and Consumption). The significant problem in the controlling mechanism of such systems consists in transport delay of transferring heat media. As a result the control mechanism must operate in prediction kind of mode. Essential parameters, or control variables, are temperature of heat carrier and its flow rate. Their time behavior must be predicted for efficient control of the whole heat energy supply. Main focus will be placed on description of the proposed and implemented computer model of the heat distribution system in the selected agglomeration. This model is proposed as a discrete simulation model and implemented in the form of computer application. Model has been tested on real operational data.

CHP Production Optimization Based on Receding Horizon Strategy

In the paper model of cogeneration plant with heat storage was developed for investigating the potential of implementing the heat storage. The model is used within the operation optimization to maximize the revenue from power sales. Receding horizon of 7 days is used for operational planning resulting in linear optimization problem. The method is used to evaluate the benefit of different sized storages using the real-life heat demand data for Malenovice district in Czech Republic and day-ahead electricity prices for a one-year horizon. The results show that the revenue from power sales can be significantly improved by shifting operation to the most commercially feasible points in time.