Adaptive and Reliable Control Algorithm for Hybrid System Architecture O.H.Abdel Satar 1 , Saad.M.A.Eid 2 , E.M.Saad 3 , R.R.Darwish 4 1 Faculty of Engineering, Helwan, Cairo, Egypt 2 Faculty of Engineering, Cairo, Cairo, Egypt 3 Faculty of Engineering, Helwan, Cairo, Egypt 4 Faculty of Engineering, Helwan, Cairo, Egypt Abstract A stand-alone system is defined as an autonomous system that supplies electricity without being connected to the electric grid. Hybrid systems combined renewable energy source, that are never depleted (such solar (photovoltaic (PV)), wind, hydroelectric, etc.) , With other sources of energy, like Diesel. If these hybrid systems are optimally designed, they can be more cost effective and reliable than single systems. However, the design of hybrid systems is complex because of the uncertain renewable energy supplies, load demands and the non-linear characteristics of some components, so the design problem cannot be solved easily by classical optimisation methods. The use of heuristic techniques, such as the genetic algorithms, can give better results than classical methods. This paper presents to a hybrid system control algorithm and also dispatches strategy design in which wind is the primary energy resource with photovoltaic cells. The dimension of the design (max. load) is 2000 kW and the sources is implemented as flow 1500 kw from wind, 500 kw from solar and diesel 2000 kw. The main task of the preposed algorithm is to take full advantage of the wind energy and solar energy when it is available and to minimize diesel fuel consumption. Keywords: wind turbine, economic control algorithm, dispatch strategy, hybrid system, renewable energy sources, photovoltaic cells (PV), genetic algorithms. 1. Introduction The economic dispatch is a significant function in the modern energy system [1]. It consists in programming correctly the electric production in order to reduce the operational cost ([2], [3]). The economic dispatch problem can be formulated as a multi objective optimization problem ([4],[5],[6],[7],[8]). It includes in hybrid systems to distribute the renewable productions between the Diesel power stations by the most economic way, to reduce the emissions of the polluting gases and to maintain the stability of the network after penetration of renewable energy. This production poses many technical problems for their integration in the electric system. The number of decision variables of the problem is related to all the nodes of the network (diesel power, wind power and solar power). The control system is subject to the specific constraints of a particular application. Hybrid energy systems are recognised as a viable alternative to reticulated grid supply or conventional, fuel-based, remote area power supplies [10]. The design and operation control [9] is not a linear problem due to non-linear component characteristics with a large number of variables [11]. The optimal design of problems like this cannot be achieved easily using classical optimisation methods. This paper presents a method of optimisation economic dispatch for Wind-PV- Diesel systems using a Genetic Algorithm (GA). The proposed Architecture for hybrid system is shown in Figure 1. There are some programs that simulate hybrid systems, as HYBRID2 [12], and TRNSYS [19]. HYBRID2 simulates hybrid systems with very high precision calculations, but it does not optimise the system. TRNSYS was initially developed to simulate thermal systems but it has incorporated PV systems to simulate hybrid systems such as those proposed here, however it cannot optimise them. The NREL developed the program HOMER [19], which optimizes hybrid systems. This program uses the kinetic battery model [13]. The user must enter the parameters for the optimisation by choosing the different combinations for PV array power, the battery power and the inverter power. HOMER does not give the number of panels and their type as a solution, only a PV array power, from ones chosen by the user. The user must select the type of battery, and no optimization between different types of battery is made. Barley [14] has set a guideline about main dispatch strategies. Ohsawa [15] applied an artificial neural network to the operation control of PV-Diesel systems. Ashari [9] proposed the IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 2, January 2012 ISSN (Online): 1694-0814 www.IJCSI.org 465 Copyright (c) 2012 International Journal of Computer Science Issues. All Rights Reserved.