Chun Sing Lai

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Biography: 

I graduated from Brunel University London in June 2013 with first class honours in BEng Electronic and Electrical Engineering. I went onto the DPhil programme and joined EPG after the completion of my undergraduate studies.

Research topic: Smart Scheduling and Optimal Dispatch for Anaerobic Digestion and Grid Energy Storage Systems with Photovoltaics

Due to the rapid increase in electricity demand, renewable energy sources are being exploited to generate electricity. However, because of the intermittent nature of solar power generation mainly due to clouding effect, the low quality electricity, low efficiency and the negative impact on the main power system have become major challenges. The intermittent nature of PVs causes various challenges for the national power grid and if they are not dealt with properly, this might lead to an overall increase in the wholesale electricity prices. Moreover, there might be massive blackouts in the electricity grids putting several essential services at risk.

The key research question is how to develop methods for seamless and smooth grid connection of renewables (PV and AD) distributed energy sources with energy storage systems at minimum cost. The project will be broken down into three major parts:

PV irradiance modelling with Markov Model

Solar irradiance model will be developed to conduct analysis to the renewable system. The perturbation effect will need to be taken into account for an accurate analysis of the system. The Forward, Viterbi and Baum-Welch algorithms will be used to find probability of observed sequence, probable state sequences and parameter estimation respectively.

Energy economics and optimal system sizing

Energy economics model is required to determine the minimum cost of the renewable system after the sizing of system is determined. Interior point method has been used for the optimal sizing problem. Levelised Cost of Energy and Return on Investment will be used as indicators to compare the effectiveness of investments.

Smart scheduling and optimal dispatch

Intelligent techniques will be investigated for scheduling of the system. In order to evaluate the performance of the scheduling algorithm, a load flow model is needed to be developed. The effect of generation dispatch on the day-ahead and real-time markets will be investigated. As PV capacity in the power system increases, this leads to the lower system inertia and hence the generator transient stability may negatively be affected. Optimal power flow will be studied with different objective functions (loss minimisation, emission minimisation and load-shedding minimisation).

A commercial power system analysis package DIgSILENT PowerFactory and an open source package MATPOWER will be used to conduct the power flow and stability studies of the hybrid renewable system.

It is expected this project will develop methods to enhance security, reliability and stability of the hybrid renewable system.

 

Comparison of pyranometer and solar model with different levels of Linke turbidity factor

 

System sizing with pyranometer data on 1st October 2013 

 

Comparison of irradiance data from different sources

 

One-line diagram of the power system to be investigated

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