Kazi Nazmul Hasan

Transmission expansion planning by meta-heuristic techniques: A comparison of Shuffled Frog Leaping Algorithm, PSO and GA

This paper presents the application of a memtic meta-heuristic optimization technique known as Shuffled Frog Leaping Algorithm (SFLA) to the problem of transmission network expansion planning. The main objective of the proposed problem is to minimize total cost by finding the place, number and type of new transmission lines required to ensure that the power system meets the forecasted demand in the most economic and reliable way. The proposed static transmission expansion planning problem is formulated as a mixed integer programming optimization problem to minimize the total cost comprised of investment cost of building new lines, congestion costs and the cost of load curtailment due to contingencies. The proposed algorithm has been successfully applied to IEEE RTS 24-bus test system and the performance of the proposed algorithm has been compared with other heuristic optimization techniques such as particle swarm optimization (PSO) and Genetic Algorithm (GA). The comparison results testify to the feasibility and efficiency of the developed algorithm in solving the transmission expansion planning problem.

Tradeoffs in planning renewable power generation entry to the electricity market

Renewable intensive bulk power system planning and operation considerations are getting high importance due to huge pressure imposed by environment-friendly policies and uncertainties in the fossil-fuel based investments. This paper addresses a number of influential economic and reliability issues for renewable generation entry to a deregulated electricity market. Geothermal power penetration, wind intermittency, load volatility, price variation and dynamic bidding are considered here in the optimal power flow simulation. A modified IEEE-RTS is simulated, through MATPOWER/MATLAB and CRUSE software, while considering the Australian National Electricity Market (NEM) data for generation technologies and costs. Locational marginal prices, system minutes and Expected Energy Not Supplied (EENS) are presented here considering gas, wind, geothermal and geothermal/wind generation-mix. The simulation results confirm high potential of geothermal power as a new generation entry to the Australian NEM.

Reliability and economic study of multi-terminal HVDC with LCC & VSC converter for connecting remote renewable generators to the grid

This paper investigates reliability and economic challenges when large amounts of renewable generation are located long distances from load centers. Considering the distance, existing network, economics and controllability requirements, the optimum transmission system may be a multi-terminal HVDC with line commutated converter (LCC) and voltage source converter (VSC) stations. The LCC, VSC and multi-terminal HVDC system has been modeled and studied in PSS/E and MATPOWER software platform. The South East Australian test system has been simulated in OPF to investigate the integration of large scale geothermal power into the Australian National Electricity Market (NEM). The sensitivity of the simulated results to variations in generation capacity and system load have been assessed and provide the frontier of the reliability and cost-benefit analysis.