Jong-Ryul Won

Generation expansion planning based on an advanced evolutionary programming

This paper proposes an efficient evolutionary programming algorithm for solving a generation expansion planning (GEP) problem known as a highly-nonlinear dynamic problem. Evolutionary programming (EP) is an optimization algorithm based on the simulated evolution (mutation, competition and selection). In this paper, some improvements are presented to enhance the efficiency of the EP algorithm for solving the GEP problem. First, by a domain mapping procedure, yearly cumulative capacity vectors are transformed into one dummy vector, whose change can field a kind of trend in the cost value. Next quadratic approximation technique and tournament selection are utilized. To validate the proposed approach, these algorithms are tested on two cases of expansion planning problems. Simulation results show that the proposed algorithm can provide successful results within a reasonable computational time compared with conventional EP and dynamic programming.

An analytical approach for transaction costs allocation in transmission system

This paper proposes an analytical approach for allocating transmission transaction costs among users in transmission services. The proposed method allocates the transaction costs over the participants proportional to the ratio of incremental power flow caused by each participant and the total power flows on a designated transmission line. To determine the individual participants impact on the transmission power flows, the line utilization factors (LUFs) of each participant are developed from a set of power flow equations. In the developed framework, one can directly evaluate the sensitivity of the flow on a line with respect to power generation at all buses. Although the developed allocation rule is very similar to the existing MW-mile method, especially to the modulus method, it does not require load flow analysis to be performed whenever each wheeling transaction is exercised. The main advantage of the developed method lies in its capability to consider multiple wheeling transactions simultaneously.

Economic dispatch solutions with piecewise quadratic cost functions using improved genetic algorithm

This paper presents economic dispatch (ED) solutions with piecewise quadratic cost functions using improved genetic algorithm (GA). GA is a searching or optimizing algorithm based on natural evolution principle. GA has demonstrated considerable success in providing good solutions to many nonlinear optimization problems. This paper proposes two methods in order to improve effectiveness of GA. The first is multi-stage algorithm. The second is the directional crossover. Projection method is introduced to satisfy a linear equality constraint from power balance. In case studies, these algorithms are tested for 6-generator system considering line losses, and 10-generator system with piecewise quadratic cost functions. Results are compared with the solutions of conventional methods.

Case study of customer baseline(CBL) load determination in Korea based on statistical method

Load management program in Korea is classified into two classes. One is related with load management equipments, such as demand controller, remote control air-conditioner, and thermal storage systems et al. The other is related with incentive for load reduction by customers willingness. Typical element for incentive is the determination of customer basehne(CBL) of customer load. It is the load forecasting of each customer. Two methods have been proposed to get this solution, regression or statistical method. It is suggested that statistical method is better than regression at very random loads. This paper proposes case study analysis of the statistical method in real Korean customers.

Least cost generation expansion planning based on an improved genetic algorithm

An improved genetic algorithm (IGA) is applied to a least-cost generation expansion planning (GEP) problem, which is a highly constrained nonlinear dynamic optimization problem that can only be fully solved by complete enumeration, and is computationally impossible for a real-world GEP problem. An improved genetic algorithm incorporates a stochastic crossover technique and an artificial initial population scheme in order to provide a faster search mechanism and the robustness of the performance. The IGA approach is applied to two test systems, one over a 14-year planning period, and the other over a 24-year planning period. Simulation results showed better solutions than the conventional simple genetic algorithm approaches.

An Analysis on Power Demand Reduction Effects of Demand Response Systems in the Smart Grid Environment in Korea

This study performed an analysis on power demand reduction effects exhibited by demand response programs, which are advanced from traditional demand-side management programs, in the smart grid environment. The target demand response systems for the analysis included incentive-based load control systems (2 month-ahead demand control system, 1~5 days ahead demand control system, and demand bidding system), which are currently implemented in Korea, and price-based demand response systems (mainly critical peak pricing system or real-time pricing system, currently not implemented, but representative demand response systems). Firstly, the status of the above systems at home and abroad was briefly examined. Next, energy saving effects and peak demand reduction effects of implementing the critical peak or real-time pricing systems, which are price-based demand response systems, and the existing incentive-based load control systems were estimated.

A study on economic analysis corresponding to enhancement of energy efficiency for residential air conditioners

Reducing energy use is a great target of the energy policies for solving the problems of high oil price and C02 emission, and the authorities have applied energy efficiency standards to principal appliances such as air conditioners and refrigerators in order to reduce energy consumption. In this paper the distribution of residential air conditioners is estimated using the Bass diffusion model and then economic analysis corresponding to enhancement of energy efficiency is performed more precisely than existing methods.

Benefit-Cost Analysis in Accordance with Replacement of Electrical Cooling System by Gas Cooling System using the California Standard Test

There are some efforts to improve the performance of electrical heat pump(EHP) and replace it with an alternative cooling equipment such as gas engine-driven heat pump(GHP), a gas cooling equipment, in order to solve the problem of summer electricity supply through reducing the summer electricity peak. This paper analyzes cost-benefit in accordance with replacement of electrical cooling system by gas cooling system using california standard test and sensitivity analysis of some scenarios.

Variation of Load Management Incentive Considering Prenotification Period

There are 3 systems in incentive-based normal load management in Korea; day or hour-ahead, week-ahead, months-ahead. These are originally similar in their operational implementation, but differ in their pre-notification period. Therefore the incentive of these systems should be different according to prenotification period. This is the key problem in implementing these load managements. Customers participating in these load managements feel their economic differences, depending on the risk by prenotification dates. The shorter prenotification period, the more risk take the customers. This paper proposes the method of incentive variation in prenotification difference, by using the theory of financial yield curve, which is used in analysing short and long duration bond interesting rates and is reflecting risk premium in their period.

A Study on the Estimation of CO 2 Caused by Reinforcement of Efficiency Standard for Residental Air Conditioners

Due to rapid economic growth, the usage of residential cooling electrical appliances such as air conditioners and refrigerators has increased dramatically for the last decades. In other to reduce its energy consumption, the authorities have applied energy efficiency standards for principal appliances, including air conditioners. and then it can anticipate environmental effects. In this paper, it presents the actual procedure to analyze the effects for the decline in the emissions and its methodology for the efficiency improvement of the air conditioner that takes a great portion of the summer power uses.