Evaluation of design and planning parameter impact by energy efficient measures through appliance-based modelling

Abstract

In a rapidly evolving industry as a result of consumer self-generation and a drive to become more energy efficient, it is necessary to understand whether traditional network planning methods are sufficient. Electrical master plans and network designs require long term forecasts. These forecasts require assumptions to be made based on various factors such as income level, climate, pricing signals to name but a few. After-diversity maximum demand (ADMD), coincidence, load factor, load profile and consumer energy consumption are important aspects in deriving future load forecasts. How does distributed generation and energy efficiency programmes impact the traditional way of network planning and design? Should planning methods be adapted going forward? This paper provides a summarized version of recent research and simulation through an appliance-based modelling approach to evaluate the impact on planning parameters such as ADMD, coincidence and load factor when energy efficiency interventions and distributed generation are implemented. A Matlab appliance-based simulation model is developed which calculates load profiles with and without interventions. Profiles without interventions are used as a baseline for comparison. The simulation model provides sufficient results in the absence of measured 1-minute load profiles for every consumer in a distribution network. Through the analysis, interesting relationships between parameters were observed