Abstract
In restructured power system, Generation Companies (GENCOs) has an opportunity to sell power and reserve in power market to earn profit by market clearing process. Defining unit commitment problem in a competitive environment to maximize the profit of GENCOs while satisfying all the network constraints is called Profit Based Unit Commitment problem (PBUC). The main contribution of this paper is modeling and inclusion of Market Clearing Price (MCP) in PBUC problem. In Day market, MCP is determined by market operator which provides maximum social welfare for both GENCOs and Consumers.On other hand this paper proposes a novel combination of solution methodology: Improved Pre-prepared power demand (IPPD) table and Analytical Hierarchy method (AHP) for solving the optimal day ahead scheduling problem as an another contribution. In this method, the status of unit commitment is obtained by IPPD table and AHP provides an optimal solution to PBUC problem. Minimizing total operating cost of thermal units to provide maximum profit to GENCOs is called an optimal day ahead scheduling problem. Also it will be more realistic to redefine this problem to include multiple distributed resources and Electric vehicles with energy storage. Because of any uncertainties or fluctuation of renewable energy resources (RESs), Electric vehicles (EV) can be used as load, energy sources and energy storage. This would reduce cost, emission and to improve system power quality and reliability. So output power of solar (PS), wind output power (PW) and Electric Vehicles power (PEV) are modeled and included into day ahead scheduling problem.The proposed methodology is tested on a standard thermal unit system with or without RESs and EVs. Cost and emission reduction in a smart grid by maximum utilization of EVs and RESs are presented in this literature. 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.
Highlights
In recent times, the harmful gas from burning fossil fuel causes diseases for humans worldwide [1]
A modified test system consists of Thermal units, Renewable Energy Sources (RESs) and Electric Vehicles (EVs) is constructed and the effect of solar, wind and Electric vehicle power output is considered on scheduling of ten units generating system
A combination of solution methodology i.e. Improved Pre-prepared power demand Table with Analytic Hierarchy Process is proposed for unit commitment problems
Summary
The harmful gas from burning fossil fuel causes diseases for humans worldwide [1]. Even though many countries do not have domestic fossil sources [2], yet 85% of nations in the world consume fossil fuel based energy [3]. As fossil fuel are finite, not renewable and have the high risk of totally running out by the turn of century [4], worldwide nations are desperate to reduce dependency on fossil based fuels [5]. A modified test system consists of Thermal units, Renewable Energy Sources (RESs) and Electric Vehicles (EVs) is constructed and the effect of solar, wind and Electric vehicle power output is considered on scheduling of ten units generating system. A multiple scale factor is used to model the wind and solar farms By using this scale the power production level of solar and wind is found. Area of the PV module is 1.6 m 2 and PV module efficiency is 16% [41]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Electrical Engineering & Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
