Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

Abstract

In this paper an optimal energy and reactive power dispatch problem is solved by using the ant lion optimization (ALO) algorithm by considering the total cost minimization and social welfare maximization (SWM) objectives. Two different market models are proposed in this work, i.e., conventional/sequential market clearing and the proposed/simultaneous market clearing. In each market model, two objectives, i.e., total cost minimization and SWM are considered. The conventional social welfare (SW) consists the benefit function of consumers and the cost function of active power generation. In this paper, the conventional SW is modified by including the reactive power cost function. The reactive power cost calculation is exactly same as that in the conventional practice. The most important difference is that instead of doing cost calculation in post-facto manner as in conventional practice, simultaneous approach is proposed in this work. The scientificity and suitability of the proposed simultaneous active and reactive power methodology has been examined on standard IEEE 30 bus test system.

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“…Here, R B shows the geometric factor which indicates the proportion of radiance radiation collision on the title surface to the standard irradiance on the horizontal surface, hourly global and diffuse irradiation (Kwh∕m 2 ) are shown by I B (t ) and I D (t ) [4]. Based on hourly radiation and ambient temperature, PV performance can be described as follows [20]:…”

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“…The open-loop schemes offer costeffectiveness, stable performance, easy implementation, and they are only able to cope with uncertainties and disturbances that are known before or can be predicted [9]. Conversely, closed-loop algorithms are more robust to uncertainty and disturbances because of their feedback mechanism [4,9].…”

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