Applied Mechanics and Materials Vol. 785

Abstract: This paper presents a comprehensive analysis on coordinating the operation of distribution network and DERs to improve the distribution network reliability. Device failure models, system state sampling and modeling procedure, and minimized load shedding model are developed. Three categories of scenarios are studied, a) grid has enough supply capability; b) grid lacks of enough supply capability due to the load growth; c) line failure rate increased due to the integration of DERs. Overall the reliability is improved with DERs being integrated but under certain conditions the integration of DERs may have negative impact to the reliability.

Abstract: Over the recent decades, there are many nature inspired optimization algorithms have been introduced. In this study, a newly algorithm namely Grey Wolf Optimizer (GWO) is employed for gasoline price forecasting. The performance of GWO is compared against the results produced by Artificial Bee Colony (ABC) algorithm and Differential Evolution (DE) algorithm. Measured based on Mean Absolute Percentage Error (MAPE) and prediction accuracy, the GWO is proven to produce significantly better results as compared to the identified algorithms.

Abstract: Economic load dispatch is an important energy planning process. In order to maximize profit, proper analysis must be conducted by the utilities to reduce the operating cost. It includes the correct selection of fuel type with respect to the required output level as different fuel type will have different price signals. Usually, a piecewise quadratic function is used to represent the multiple fuel options. In this paper, fuzzy-based technique is proposed to select the suitable fuel type. The tests involve IEEE 57-Bus system with 7 generators. The economic load dispatch with a multi-fuel problem is also optimized by using DEIANT algorithms to compute the feasible operating cost and minimizing the power loss.

Abstract: Competitive bidding exercise for a new power generation has been introduced in 2011 to bring Malaysia Electricity Supply Industry (MESI) into competitive electricity market. The competitive bidding process is an auction based mechanism organized by Energy Commission (EC) Malaysia. EC has successfully completed two auctions; 1) international competitive bidding exercise (Track 1) for a new capacity in Prai Penang, Malaysia and 2) restricted tender (Track 2) for the renewal of operating licenses of the first generation Independent Power Producer (IPP) and Tenaga Nasional Berhad (TNB) power plants. The Track 1 has won by Tenaga Nasional Berhad (TNB) for a 1,071 MW CCGT power plant, at a levelised tariff of 34.7 sen/kWh. On the other hand Track 2 has been awarded to Genting Sanyen Power and Segari Energy Ventures for another 10 years extension and TNB Pasir Gudang for another 5 years extension. This paper discusses the competitive bidding exercise implemented in Malaysia for new power plants. It also evaluates the revenues of TNB from the Track 1 bidding exercise. Sensitivity analysis is performed to study the impact of uncertainty in the fuel price, capacity rate financial and fixed and variable operating rate on the revenue of the plant. Result shows that the changes in the fuel price are the largest source of uncertainty for business investment in power plant and biggest variable in determining levelised.

Abstract: Increasing of the power demand and fuel cost in power generation required an advanced algorithm for scheduling the output of generating unit in economical manner. The economic load dispatch problem (ELD) problem consists several operational and system constraints such as prohibited operating zones (POZs) and ramp-rate limit that need to handle wisely by optimization algorithm. Previously, the penalty function is widely used to satisfy the power balance and other constraints by augmenting the objective function with the penalized function. However, it required a proper penalty factor tuning and depends on the size of problem. This paper proposes an efficient constraint handling based on the repairing or adjusting infeasible solution into feasible solution in every iterative process. The simulation results show that the proposed constraints handling approach is better than penalty function approach in term of convergence characteristic and robustness.

Abstract: The paper presents a comparison of performance Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) with objective function to minimize the transmission loss, improve the voltage and monitoring the cost of installation. Simulation performed on standard IEEE 30-Bus RTS and indicated that EPSO a feasible to achieve the objective function.

Abstract: The fluctuating load demand with respect to time requires thorough analysis by the energy providers. Nowadays, the utilities need to include emission control during energy dispatch planning. The practically accurate economic dispatch solution is achieved by considering it as a dynamic or time-varying problem. Therefore, this research proposes Fuzzy Combined Economic Load-Emission Dispatch (Fz-CELED) to solve dynamic economic dispatch problem. Fuzzy Logic is used to predict the future load demand and fuel pricing. Moreover, this paper proposed the Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique to optimize Fz-CELED problem. The research was conducted on IEEE 57-Bus Systems. Comparative studies are also conducted among DEIANT, ACO and EP to assess their performance.

Abstract: The amount of power transfer between areas is purporting as imperative information required by the utility so that this will assist them towards an effective operation of electricity market performed in a deregulated power system. CBM is defined as the amount of the transfer capability reserved by the load-serving entities which will be used during the case of generation deficiency. This paper presents a new approach used to perform simultaneous determination of capacity benefit margin (CBM) for all areas by using the evolutionary programming (EP) technique. Ranking index in the Pareto optimal front cluster of total loss-of-load expectation (LOLE) and total LOLE difference will be used for selecting several best solutions of multi-objective CBMs. Eventually, performance of the proposed method is investigated thoroughly via a test system of modified IEEE-RTS79. Utilization of the proposed technique is superior in terms of offering flexibility to the utility in selecting several best solutions of multi-objective CBMs.

Abstract: This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus) for solving economic dispatch (ED) problems. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting: searching for prey, encircling prey and attacking prey are implemented. In this paper, GWO was demonstrated and tested on two well-known test systems with practical constraints. A comparison of simulation results is carried out with those published in the recent literatures. The results show that the GWO algorithm is able to provide very competitive results for nonlinear characteristics of the generators such as ramp rate limits, prohibited zone and non-smooth cost functions compared to the other well-known meta-heuristics techniques.

Abstract: —Hydropower energy is widely used throughout the world. It is the only renewable energy that is presently commercially practical on the large scale. In order to maintain the hydropower plant in good condition, the performance of the power plant needs to be monitored constantly. Efficiency curve helps in studying the performance of the turbine under various conditions and this is the best way to look for the performance of the power plant. Therefore, this paper presents the relationship between load (MW) and efficiency of each turbine and generator unit. This project uses Microsoft Excel 2010 software to produce a graph from the exact data produced from the database. This paper’s objective is to compare the theoretical performance curve and the calculated performance curve and also to discuss the hydroelectric power plant performance.