A Hybrid LR-EP for Solving New Profit-Based UC Problem under Competitive Environment

Attaviriyanupap, Pathom; Kita, H.; Tanaka, Eiichi; Hasegawa, Junji

doi:10.1109/mper.2002.4311919

Cited by 25 publications

(44 citation statements)

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“…The computational results of PBUC problem attained by the proposed hybrid method for the three Gencos are analyzed and compared with other optimization methods like LR method, Hybrid LR-GA, LR-AIS, GA-LR and AIS-LR methods. The required system data and load demand data are taken from [11] and [12] for 3, 10 units and 36 units respectively, which are given in the following sections.…”

Section: Resultsmentioning

confidence: 99%

“…Valenzuela et al [10] presented a new formulation to the unit commitment problems suitable for an electric power producer in deregulated markets. Attaviriyanupap et al [11] explored a hybrid LR-EP method that helps Gencos to make a decision on how much power and reserve should be sold in markets, and how to schedule generators in order to receive maximum profit. Here, the authors have incorporated both power and reserve generation at the same time.…”

Section: Introductionmentioning

confidence: 99%

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Hybrid Artificial Immune System Approach for Profit Based Unit Commitment Problem

Lakshmi¹,

Vasantharathna²

2013

Journal of Electrical Engineering and Technology

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-This paper presents a new approach with artificial immune system algorithm to solve the profit based unit commitment problem. The objective of this work is to find the optimal generation scheduling and to maximize the profit of generation companies (Gencos) when subjected to various constraints such as power balance, spinning reserve, minimum up/down time and ramp rate limits. The proposed hybrid method is developed through adaptive search which is inspired from artificial immune system and genetic algorithm to carry out profit maximization of generation companies. The effectiveness of the proposed approach has been tested for different Gencos consists of 3, 10 and 36 generating units and the results are compared with the existing methods.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid Artificial Immune System Approach for Profit Based Unit Commitment Problem

Lakshmi¹,

Vasantharathna²

2013

Journal of Electrical Engineering and Technology

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“…According to this allocation schedule, the power and reserve are distributed by satisfying the capacity constraints and also the profit has also been maximized by LR-PSO as 9465.6$. The results of Muller method [13] and hybrid methods such as LR-gradient search, LR-EP [1] and LR-PSO for the same test system can be compared and tabulated as shown in Table 5. …”

Section: Simulation Resultsmentioning

confidence: 99%

“…Under deregulated environment, the on/off scheduling task by considering the power demand and spinning reserve constraints are more complex and more competitive than traditional one. Profit based unit commitment is an optimization problem to schedule generators economically together with the forecasted information such as prices and demand/reserve with the objective of maximizing the profit of individual GENCOs [1]. In this PBUC, both the power and reserve to be generated are the control variables.…”

Section: Introductionmentioning

confidence: 99%

Scheduling the Units and Maximizing the Profit of Gencos Using LR-PSO Technique

Rampriya¹,

Mahadevan²

2010

ijeei

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This paper presents the advancement in power system engineering education and research with power industry moving towards deregulation. Deregulation is a relatively recent concept, whose economic, regulatory and implementation structure continues to be adopted to the specific needs of each nation. For example, price based unit commitment in the present scenario is totally different compared to a regulated set up. Hence adequate exposes towards power engineering curriculum and new software tools are needed to support new activities in the modern power pools. This methodology performed in this will be a great challenges for the power industry and thus an individual human can take their own decision of choosing the reliable continuous supply of power from the electricity markets at an affordable price. Under this restructured system, generation companies (GENCOs) schedule their generators with the objective of maximizing their profit. The profit based unit commitment (PBUC) is performed by considering both the power and reserve generations. The quoting of power and reserve prices in spot markets and reserve markets are the important decision process. This proposed algorithm is tested for a small unit test system with 3 unit 12 hour data and the simulations are carried out to show the performance of proposed methodology using MATLAB.

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“…Several approaches have been used to solve the unit commitment (UC) optimization problem, e.g. priority ordering (2) , dynamic programming (3) , Lagrange Relaxation (LR) (4) (5) , mixed-integer linear programming (MILP) (6) (7) , evolutionary programming (8) , combination of LR and evolutionary programming (9) and simulated annealing (10) (11) . Detailed survey on unit commitment problems can be found in Ref.…”

Section: Introductionmentioning

confidence: 99%

Short-term Operating Strategy with Consideration of Load Forecast and Generating Unit Uncertainty

Sarjiya

Eua‐arporn

Yokoyama³

2007

IEEJ Trans. PE

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One of the common problems faced by many electric utilities concernes with the uncertainty from both load forecast error and generating unit unavailability. This uncertainty might lead to uneconomic operation if it is not managed properly in the planning stage. This paper explicitly demonstrates how to include the uncertainties to obtain the best operating strategy for any power systems. The uncertainty of the load forecast is handled using decision analysis method, meanwhile the uncertainty of the generating unit is approached by inclusion of risk cost to the total cost. In addition, three spinning reserve strategies based on deterministic criteria are incorporated in the development of scenario. Meanwhile, Mixed Integer Linear Programming method is utilized to generate unit commitment decision in each created scenario. The best strategy which gives the minimum total cost is selected among the developed scenarios. The flowchart of the proposed method is shown in Fig. 1.The proposed method has been implemented to solve a modified IEEE 24-bus system comprising 26 generating units. Three spinning reserve strategies based on deterministic criteria are set for each hour at 8%, 10%, and 12% of the load demand, representing low, medium and high spinning reserve strategy respectively. Meanwhile, the demand uncertainty is modeled by low, medium, and high Fig. 1. Flowchart of the proposed method load level with its associated probability. The load forecast uncertainty is represented by the standard deviation (SD), i.e. x% of the expected values. Sensitivity analysis with respect to the number of unit, expected unserved energy (EUE) price, standard deviation of load forecast, and probability of load level is reported.In the sensitivity analysis of number of unit, the IEEE test system is duplicated to be 26-unit, 78-unit and 130-unit system representing small, medium, and large-scale system. The load forecast error represented by SD is assumed to be 1% of the forecast value in the first hour and linearly increased to 4% in the last hour. The EUE is priced at 2000 $/MWh. The results shows that the generation cost for each scenario is a litlle bit different whereas the risk cost is rather different from each other.The impact of the load forecast error is analyzed through the variation of standard deviation (SD) values. In this analysis, it is supposed that the SD is assumed to be 1% of the forecasted value in the first hour, and is treated as either a constant value for the whole lead time of 24 hours or linearly increased to 2-4% in the last hour. The results show that with higher forecast error, i.e. higher SD, the total cost obtaied from the best strategy tends to decrease. However, as the system becomes larger, lower reserve strategy tends to be more appropiated, since the risk cost contribution to the total cost is relatively small. EUE price is varied to verify its impact on the operating strategy. It can be noticed that if the risk cost is neglected from our consideration, i.e. EUE price is set at zero, the lower spin...

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A Hybrid LR-EP for Solving New Profit-Based UC Problem under Competitive Environment

Cited by 25 publications

References 0 publications

Hybrid Artificial Immune System Approach for Profit Based Unit Commitment Problem

Hybrid Artificial Immune System Approach for Profit Based Unit Commitment Problem

Scheduling the Units and Maximizing the Profit of Gencos Using LR-PSO Technique

Short-term Operating Strategy with Consideration of Load Forecast and Generating Unit Uncertainty

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