Three-bedroom townhouses, Air Niugini Staff Housing, Papua New Guinea

Street elevation, carports below entry balconies.

Two-bedroom townhouses, Air Niugini Staff Housing, Papua New Guinea

As seen from road.

Three-bedroom townhouse, Air Niugini Staff Housing, Papua New Guinea

Side elevation, showing upper level bedroom windows.

Burrundulla Garden Housing at Kambah, Canberra

View to rear of townhouses with enclosed garden, shed and clothes line.

Burrundulla Garden Housing at Kambah, Canberra

View to flats with townhouses beyond.

Burrundulla Garden Housing at Kambah, Canberra

View of flats from internal street.

Burrundulla Garden Housing at Kambah, Canberra

View to townhouses with individual front porch and paired carports.

Burrundulla Garden Housing at Kambah, Canberra

View to front elevation of flats from internal street.

Burrundulla Garden Housing at Kambah, Canberra

View through internal street with townhouses on left and flats on left.

Burrundulla Garden Housing at Kambah, Canberra

View to townhouses and carports from east.

Burrundulla Garden Housing at Kambah, Canberra

View to development with townhouses in foreground and flats beyond.

Burrundulla Garden Housing at Kambah, Canberra

View of townhouses from exterior.

A hybrid probabilistic criterion for market-based transmission expansion planning

Market-based transmission expansion planning gives information to investors on where is the most cost efficient place to invest and brings benefits to those who invest in this grid. However, both market issue and power system adequacy problems are system planers’ concern. In this paper, a hybrid probabilistic criterion of Expected Economical Loss (EEL) is proposed as an index to evaluate the systems’ overall expected economical losses during system operation in a competitive market. It stands on both investors’ and planner’s point of view and will further improves the traditional reliability cost. By applying EEL, it is possible for system planners to obtain a clear idea regarding the transmission network’s bottleneck and the amount of losses arises from this weak point. Sequentially, it enables planners to assess the worth of providing reliable services. Also, the EEL will contain valuable information for moneymen to undertake their investment. This index could truly reflect the random behaviors of power systems and uncertainties from electricity market. The performance of the EEL index is enhanced by applying Normalized Coefficient of Probability (NCP), so it can be utilized in large real power systems. A numerical example is carried out on IEEE Reliability Test System (RTS), which will show how the EEL can predict the current system bottleneck under future operational conditions and how to use EEL as one of planning objectives to determine future optimal plans. A well-known simulation method, Monte Carlo simulation, is employed to achieve the probabilistic characteristic of electricity market and Genetic Algorithms (GAs) is used as a multi-objective optimization tool.

A hybrid planning method for transmission networks in a deregulated environment

The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system and relevant analyses and discussions have been presented.