01.07.2013 Views

chapter 3 - Bentham Science

chapter 3 - Bentham Science

chapter 3 - Bentham Science

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Professional Development in Electricity Applications of Spreadsheets in Education The Amazing Power of a Simple Tool 263<br />

Throughout industry the role of Professional Development varies widely. Some PD workshops<br />

are focused to provide training on very particular technical aspects in great depth, for example,<br />

training on proprietary modeling software. Nevertheless, the industry audience demands concentrated<br />

information delivery with a focus on adding value to business and with a delivery mechanism<br />

which provides users with resources to help them when they return to their place of work [2].<br />

Compared with tertiary education, there is only limited time and desire for delving into theory,<br />

equations, and developing software models. However, a workshop running pre-canned models, or<br />

even worse, slide shows of model outputs disengages the audience quickly. We successfully integrated<br />

spreadsheet models with a mixture of pre-built modeling (to assist with rapid delivery),<br />

in-situ formula development (to demonstrate model construction), and running computational experiments<br />

(to convey the mechanics of the market and to illustrate behavioral impacts).<br />

Other authors in the academic arena have performed modeling of deregulated physical electricity<br />

markets with spreadsheets and other modeling software. Cau et al. [4] have instituted a teaching<br />

tool to highlight the gaming behavior of participants in the spot market. Their software implemented<br />

a physical market clearing model to establish spot prices and dispatch instructions. The scope of<br />

their curriculum concentrates on audience participation in extended experimental games to establish<br />

the behavioral characteristics of the spot market. Farr et al. [5] successfully used spreadsheet<br />

teaching models for an auction process associated with an alternative formulation of a deregulated<br />

electricity market.<br />

12.3 Mechanics of the National Electricity Market<br />

Australia’s National Electricity Market (NEM) is a real-time market for balancing the supply and<br />

demand of energy in Eastern Australia. It is a highly complex environment with many power stations<br />

contributing to an interconnected grid, a fine resolution time-scale, a multitude of engineering<br />

constraints and with many regulatory structures [6].<br />

The market is managed by a single market operator (AEMO) who is charged with implementing<br />

the very strict regulatory environment of the National Electricity Law. The market structure is quite<br />

different to typical equity or commodity markets owing to the peculiar nature electrical energy as<br />

the commodity being traded.<br />

At any point in time, the demand and supply must perfectly match for otherwise load shedding<br />

occurs which is deemed as a market failure under the market operator’s charter. Electricity cannot<br />

be effectively stored by either consumers or producers, and consequently the market is structured to<br />

accommodate a commodity which is undergoing continuous delivery and consumption. The NEM<br />

is structured as an interval market, where a new price is set, and new instructions to generators are<br />

produced at regular epochs (every five minutes). It is the role of the market operator to establish<br />

the clearing price (the spot price) and to issue instructions to the pool of generators (around 300<br />

generating units) for their individual levels of production.<br />

The market is structured as a gross pool market, meaning that generators are regulated to sell<br />

production solely to the central clearing house and all retailers buy from the same exchange. A<br />

single clearing price emerges (the spot price or pool price) and all participants are exposed to the<br />

same market price. A separate derivative market has emerged for participants to manage their pool<br />

price exposure.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!