Papers by Dr M.Veera Kumari
Smart Women to Built Smart Society
Journal of emerging technologies and innovative research, 2019
The Generation expansion planning (GEP) problem is a large scale, mixed integer and the most comp... more The Generation expansion planning (GEP) problem is a large scale, mixed integer and the most complicated optimization problem. To calculate for best combinations of conventional and non-conventional sources, GEP problem is considered for a test system to satisfy the constraints, EENS and LOLP. By computing the optimal point i.e., best compromise solution using multiple objectives for objective functions like minimization of best investment and best outage costs through MCDM methods. Various multi-criteria decision making (MCDM) methods have been proposed to solve diverse applications of decision problems. One of the MCDM methods is Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). However, by knowing about some MCDM methods decision making methodology based on Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS) is applied for finding the best compromise solution from the set of Pareto-optimal solutions through ranking.
Nowadays, Transmission Expansion Planning has been increasing widely in the electricity market. M... more Nowadays, Transmission Expansion Planning has been increasing widely in the electricity market. Multi-objective optimization of Transmission Expansion planning by installing new transmission lines in the existing system at different locations by using the DE and the MODE. In this paper, the Multi-criteria decision making methods like AHP and SAW for ranking the best compromise solutions are implemented on test system like IEEE 24-Bus system are considered. This paper shows the feasibility and effectiveness of the proposed DE, MODE for the solution of the TEP problem.
Load forecasting is an important component for power system energy management system. Precise loa... more Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost, it is also essential to the reliability of power systems. Load forecasting plays an important role in power system planning, operation and control. Planning and operational applications of load forecasting requires a certain 'lead time' also called forecasting intervals. On the basis of lead time, load forecasts can be divided into four categories: very short-term forecasts, short-term forecasts, medium-term forecasts and long-term forecasts. In the present paper STLF is attempted and implemented using Matlab7.1 with evolutionary algorithms PSO and DE for the Andhra Pradesh Grid. The Load data of Andhra Pradesh grid of every month from the year 2007to 2011 was collected .Forecasted the Load data of next 5 years as one set and consecutive 5years as another set.
This paper presents the objective of generation expansion planning is to aim at serving the deman... more This paper presents the objective of generation expansion planning is to aim at serving the demand at a specified level of reliability, at the lowest possible cost. The optimization techniques such as the Dynamic programming, Particle Swarm Optimization, are applied to solve GEP problem. The original GEP problem is modified using the proposed methods Virtual Mapping Procedure (VMP) and Penalty Factor Approach (PFA), to improve the efficiency of the techniques. Further, Intelligent Initial Population Generation (IIPG), is introduced in the solution techniques to reduce the computational time. The VMP, PFA, and IIPG are used in solving all the two test systems. The GEP problem considered synthetic test systems for 6-year and 14-year, planning horizon having five types of candidate units. The results obtained by these proposed techniques are compared and validated against conventional Dynamic Programming and the effectiveness of each proposed methods has also been illustrated in detail.
Transmission Expansion Planning Using Differential Evolution Multi-Objective Differential Evolution and Multi-Criteria Decision Making Methods
2018 National Power Engineering Conference (NPEC)
Nowadays, Transmission Expansion Planning has been increasing widely in the electricity market. M... more Nowadays, Transmission Expansion Planning has been increasing widely in the electricity market. Multi-objective optimization of Transmission Expansion planning by installing new transmission lines in the existing system at different locations by using the DE and the MODE. In this paper, the Multi-criteria decision making methods like AHP and SAW for ranking the best compromise solutions are implemented on test system like IEEE 24-Bus system are considered. This paper shows the feasibility and effectiveness of the proposed DE, MODE for the solution of the TEP problem.
This paper presents the objective of generation expansion planning is to aim at serving the deman... more This paper presents the objective of generation expansion planning is to aim at serving the demand at a specified level of reliability, at the lowest possible cost. The optimization techniques such as the Dynamic programming, Particle Swarm Optimization, are applied to solve GEP problem. The original GEP problem is modified using the proposed methods Virtual Mapping Procedure (VMP) and Penalty Factor Approach (PFA), to improve the efficiency of the techniques. Further, Intelligent Initial Population Generation (IIPG), is introduced in the solution techniques to reduce the computational time. The VMP, PFA, and IIPG are used in solving all the two test systems. The GEP problem considered synthetic test systems for 6-year and 14-year, planning horizon having five types of candidate units. The results obtained by these proposed techniques are compared and validated against conventional Dynamic Programming and the effectiveness of each proposed methods has also been illustrated in detail.
This paper illustrates OGEP under normal and network contingency with an optimization technique, ... more This paper illustrates OGEP under normal and network contingency with an optimization technique, HSDE algorithm, a Hybrid mutation operator and self adaptive scaling differential evolutionty (HSDE) algorithm for solving OGEP (Generation Expansion Planning) with Security Constraints. In the first stage, a HSDE algorithm is employed to approximate the set of solutions through an evolutionary optimization process. In the subsequent stage, a multi-criteria decision-making approach like AHP,SAW,WPM are adopted to rank these solutions from best to worst and to determinate the best solution in a deterministic environment with a single decision-maker. This hybrid approach is tested on a modified IEEE 30-bus system to illustrate the analysis process. The ranking of solutions is based on entropy weight and the technique for order preference by similarity to ideal solution problem. KeywordsAHP, HSDE, FLCC, MCDM, OGEP, SAW, And WPM.
The Generation expansion planning (GEP) problem is a large scale, mixed integer and the most comp... more The Generation expansion planning (GEP) problem is a large scale, mixed integer and the most complicated optimization problem. So we are using Multi-objective differential evolution (MODE) for solving the GEP problem. To calculate for best combinations of conventional sources with and without wind farm, GEP problem is considered for test system of and satisfy the constraints by calculating EENS and LOLP. By computing the optimal point i.e., best compromise solutions using multiple objectives for objective functions like minimization of best investment and best outage costs through Multi-objective differential evolution(MODE) compare them with and without addition of the wind farms.
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Papers by Dr M.Veera Kumari