Abstract
This paper proposes an optimal coordination scheduling methodology for a wind-thermal power system by considering the intermittent behavior of wind power and load demands. The optimum amount of spinning reserves (SRs) needed to handle the uncertain nature of hybrid power system with wind generators is determined by using the probability analysis. The proposed model demonstrates the error in wind power and load forecasts by using the probability distribution functions for over and under estimations of load and wind power. In this work, two objectives, i.e., total operating cost and risk level are considered, which handles both economical and reliability issues, simultaneously. This problem is solved by using the meta-heuristic based Cuckoo search algorithm. The reactive power capability limits of synchronous generators and variable speed doubly fed induction generators are considered in this paper. Simulations have been carried out on IEEE 300 bus system.
Highlights
Nowadays, wind energy has drawn much attention compared to other renewable sources of energy
In this work, simulation studies have been performed on IEEE 300 bus system, which consists of 69 generators, among them 57 are thermal generating units and 12 are considered as the wind farms
A MATLAB program based model is developed to provide a numerical tool to solve the proposed problem. This stochastic model is integrated in Newton Raphson load flow in which the wind energy generators are represented by variable speed doubly fed induction generator (DFIG)
Summary
Wind energy has drawn much attention compared to other renewable sources of energy. The developing countries see renewable energy as a way of meeting increasing power demands and extending electricity usage to disperse population with reduced stress on national electric network and to take benefit of carbon credit This alignment of interests will spur economic growth because any successful technology developed in one part of the world can be deployed in any other part of the world. The optimal scheduling problem including thermal units and wind generators is a combination of load flow and economic dispatch problems. The objective of this problem can be minimization of fuel costs, power loss, reactive power loss, load shedding and maximize voltage security index, branch flow security index, etc.
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