Operating at absolute minimum cost can no longer be the only criterion for dispatching electric power due to increasing concern the environmental consideration. The emission controlled economic dispatch (ECED) problem which accounts for minimization of both fuel cost and emission is a multiple objective function problem. This paper proposed the particle swarm optimisation (PSO) metaheuristic me...

Abstarct: This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transf...

The main objective of electric power dispatch is to provide electricity to the customers at low cost and high reliability. Transmission line failures constitute a great threat to the electric power system security. We use a Markov decision process (MDP) approach to model the sequential dispatch decision making process where demand level and transmission line availability change from hour to hou...

Spinning reserve allocation is a critical problem for active power dispatch with large-scale wind power penetration. A risk-based reserve allocation method that accounts multiple control sub-area coordination is given in this paper. And a multi-objective optimization model is constructed to schedule the spinning generation reserve for online active power dispatch. A fuzzy optimization method is...

Economic Load Dispatch (ELD) is an important optimization task in power system operation for allocating generation among the committed units such that the constraints imposed are satisfied and the operating cost is minimized. This paper presents an application of Particle swarm optimization (PSO) technique to solve non-liner, non-convex ELD problem for the determination of the global or near gl...

This paper presents the application of Genetic algorithm (GA) to solve the economic load dispatch problem of the power system. The effectiveness of the proposed algorithm has been demonstrated on two different test systems considering the transmission losses. Test system-1 includes a three generator system and test system-2 includes an IEEE 30-bus system. The results of test system-1 are compar...

This paper introduces the “Energy-Environmental Efficiency” concept of building a low-carbon dispatch model of wind-incorporated power systems from the perspective of environmental protection and low-carbon dispatch promotion based on the existing economic environmental dispatch. A rolling auto-regressive and moving-average model is adopted to forecast wind speeds for the next 24 h and reduce t...

This thesis investigates the impact of high shares of variable renewable energy systems in an electricity grid regulated by a model predictive power dispatch controller. The main goal is to assess the variations in the operating reserve capacity in order to accommodate the stochastic variability of wind and solar generation plants. In order to achieve this result, a literature study for this pa...

During extremely hot summer days, air conditioning systems are known as major electricity consumers in residential, commercial and industrial sectors. Moreover, high energy requirement of multiple-chiller plants may cause an interconnected power grid be faced with annual on-peak electrical demand, load-generation mismatch, voltage collapse and catastrophic wide area blackout. Therefore, this pa...

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer sett...