经济环境调度与光伏发电,包括传输损耗使用PSO

Ajay Wadhawan, Preeti Verma, S. Grover, H. Anand
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引用次数: 7

摘要

本文以排放为约束,利用粒子群算法研究了考虑输电损耗的光伏发电经济调度问题。利用粒子群优化(PSO)技术,考虑火力发电机组在排放约束下的燃料成本最小化,并调度不同光伏发电机组共享以满足负荷需求,使总发电成本最小化,同时满足等式和不等式约束。考虑到成熟的能源市场,实现可靠和廉价的电力是一个挑战。化石燃料储量的枯竭和燃料价格的迅速上涨以及排放量的增加导致环境问题,导致人们开始考虑在能源市场上使用可再生能源作为一种选择。本文对13个光伏电站和2个热机组测试系统进行了测试。粒子群算法(PSO)主要用于提供问题的最优解,并在FORTRAN 90中进行了仿真计算。
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Economic environmental dispatch with PV generation including transmission losses using PSO
This paper is about economic dispatch with PV generation including transmission losses considering emission as constraint using particle swarm optimization. This objective consider the minimization of fuel cost with emissions constrained of thermal generating units with scheduling for sharing of different photo-voltaic generating units to fulfill the load demand in such a way to minimize the total generating cost and satisfying equality and inequality constraints using particle swarm optimization (PSO) technique. Taking into account the mature energy market it's a challenge to achieve reliable and cheap electricity. Exhaustion of fossil fuels reserves and rapid increasing fuel price and higher amount of emission leads to environmental concerns results in initiation of thinking about renewable energy sources in the energy market as an option. In this paper, the test is conducted for 13 PV plants and two test system of thermal units. Particle Swarm Optimization (PSO) is mainly for providing optimal solution of the problem and simulation results have been computed in FORTRAN 90.
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