The day-ahead wind power forecast is essential for the designation of dispatch schedules grid and rational arrangement production planning by generation companies. This paper specifically investigates effect adding noise to original data forecasting models. Linear regression, artificial neural networks, adaptive boosting predictive models based on data-intensification white uniform are evaluate...

This paper presents a review of the achievements of the optimal power dynamic dispatch problem since its inception to the present. There exist two formulations for this problem in the literature. The first formulation is the optimal control dynamic dispatch (OCDD), where the power system generation has been modelled as a control system and optimization is done in the optimal control setting wit...

This paper presents a new efficient approach to Economic Load Dispatch (ELD) problems with non-convex cost functions using PSO-ANN. The practical ELD problems have non-smooth cost functions considering valve point loading effects with equality and inequality constraints that make the problem of finding the global optimum difficult using any traditional mathematical approach. Therefore, Particle...

In many countries, electricity prices on day-ahead auction markets result from a market clearing designed to maximize social welfare. For each hour of the day, price can be represented as intersection supply and demand curve. Structural models reflect this formation mechanism are widely used in prospective studies guiding long-term decisions (e.g. investments design). However, simulating curve ...

With the rapid development of modern industry, while improving people’s living standards, over-exploitation coal, oil and natural gas has led to a shortage fossil energy, global warming an increasingly serious deterioration ecological environment. To mitigate greenhouse effect caused by excessive carbon emissions, vigorous integrated electricity-gas system (IEGS) dominated clean energy is futur...

Distributed energy storage (DES) on the user side has two commercial modes including peak load shaving and demand management as main profit to gain profits, capital recovery generally takes 8-9 years. In order further improve return rate investment of distributed storage, this paper proposes an optimized economic operation strategy with multi-profit mode operation. Considering three management,...

— In this paper, comparative study of two methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is used to solve Economic dispatch problem in power systems. The feasibility of both the methods is demonstrated for a six-generator system and a fifteengenerator system. The results from the experiments show that the PSO method gives a better quality solution to the Economic Dispatch...

in recent years, soft computing methods have generated a large research interest. the synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. a particular evolutionary algorithm (ea) is differential evolution (de). as for any ea, de algorithm also requires parameters tuning to achieve desirable performance. in this paper tuning the perturbation factor vector of de ...

this paper proposes a novel technique for solving generation scheduling and ramp rate constrained unit commitment. a modified objective function associated with a new start-up cost term is introduced in this paper. the proposed method is used to solve generating scheduling problem satisfying srr, minimum up and down time as well as ramp rate constraints. two case studies are conducted to implem...

this paper proposes the exchange market algorithm (ema) to solve the combined economic and emission dispatch (ceed) problems in thermal power plants. the ema is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. existence of two seeking operators in ema provides a high ability in exploiting global optimum point. in order to show the capabilities ...