Journal Article10.1080/23302674.2022.2037026
Profit based unit commitment problem solution using metaheuristic optimisation approach
R. P. F. Naresh,Reena Sharma +1 more
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TL;DR: In this paper , a computational methodology based on monarch butterfly optimisation (MBO) was proposed to find a solution to the problem of profit-based unit commitment (PBUC), taking into account the power and reserve conditions.
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Abstract: Earlier power utilities had generated electrical power with the goal of minimising the costs and meeting both demand and reserves. Generation companies (GENCOs) schedule their generators under a new structure to maximise the profit. This paper provides a computational methodology based on monarch butterfly optimisation (MBO) to find a solution to the problem of profit-based unit commitment (PBUC), taking into account the power and reserve conditions. The proposed method allows GENCOs to determine how much power and reserve should be sold in the markets in order to achieve maximum profit. The binary variables of unit commitment problems are handled by modifying the continuous-time nature of the monarch butterfly algorithm. The computational approach maximises the profit but also handles the mixed constraints of the commitment problem. The effect of thermal turbine valve point loading is also taken into consideration. The computational technique has been used to solve two test systems in the absence and presence of steam turbine valve point loading effects. The results obtained are in agreement with the recent results available in the literature. Comparative analysis shows the effectiveness of the proposed MBO based solution methodology in terms of profit earned and execution time in relation to other techniques.
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Citations
Multi-Objective Security Constrained Unit Commitment via Hybrid Evolutionary Algorithms
Aamir Ali,Arslan Shah,M.U. Keerio,Noor Hussain Mugheri,Ghulam Abbas,Ezzeddine Touti,Mohammed Hatatah,Amr Yousef,Mounir Bouzguenda +8 more
TL;DR: A novel approach to address the SCUC problem, which is further complicated by including network constraints, and implements a new formulation based on three conflicting objective functions: cost of energy supplied, startup and shutdown costs of generators, energy loss, and voltage deviation to solve the SCUC problem.
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Stochastic profit‐based unit commitment problem considering renewable energy sources with battery storage systems and plug‐in hybrid electric vehicles
TL;DR: In this paper , the authors presented a novel methodology based on a BARON solver in general algebraic modeling system (GAMS) computational environment to solve the stochastic profit-based unit commitment (SPBUC) problem in the deregulated energy market.
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Solutions of economic load dispatch problems for hybrid power plants using Dandelion optimizer
Hung T. Nguyen,Ly Huu Pham +1 more
TL;DR: In this paper , an economic load dispatch problem (ELD) is solved for reaching optimal power output of hybrid systems in addition to cost minimization, considering the forbidden working zones (FWZs), dynamic load demand, wind farms, and solar photovoltaic fields (SPs).
Multi-Objective Profit-Based Unit Commitment with Renewable Energy and Energy Storage Units Using a Modified Optimization Method
Hossein Lotfi,Mohammad Hassan Nikkhah +1 more
TL;DR: The PBUC problem aims to maximize profits and minimize emissions while considering energy storage and renewable energy systems in the presence of uncertainty. A novel mutation-based modified version of the shuffled frog leaping algorithm (SFLA) is proposed to solve this complex problem. The results show that the proposed algorithm is more effective than other evolutionary methods in terms of profit and emissions reduction.
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References
Self-unit commitment of thermal units in a competitive electricity market
Javier García-González,Julián Barquín +1 more
- 16 Jul 2000
TL;DR: This paper addresses the problem a generating utility faces in order to decide which of its thermal units to start-up and to shutdown before submitting the hourly bids to a day-ahead market based on simple bids.
29
Investigation of solution techniques of unit commitment problems: A review:
TL;DR: This paper attempts on presenting a thorough and precise review of the recent approaches applied in optimizing UC problems, incorporating both stochastic and deterministic loads, based on various peer reviewed published research papers of reputed journals.
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Hybrid Artificial Immune System Approach for Profit Based Unit Commitment Problem
K. Lakshmi,S. Vasantharathna +1 more
TL;DR: In this article, a 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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New approach with Muller method for Solving Profit Based Unit Commitment
K. Chandram,N. Subrahmanyam,Maheswarapu Sydulu +2 more
- 06 Apr 2008
TL;DR: In this paper, a new approach with Muller method for solving profit based unit commitment (PBUC) is presented, in which the information of committed units is obtained by a simple approach and finally non linear programming sub problem of economic dispatch is solved by Muller method.
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Profit Based Unit Commitment of Thermal Units with Renewable Energy and Electric Vehicles in Power Market
TL;DR: It is indicated that the proposed method provides maximum profit to GENCOs when compared to other methodologies such as Memory Management Algorithm, Improved Particle Swarm Optimization (PSO), Muller method, Gravitational search algorithm etc.