Economic load dispatch (ELD) and economic emission dispatch (CEED) have been applied to obtain optimal fuel cost and optimal emission of generating units, respectively. Combined economic emission dispatch (CEED) problem is obtained by considering both the economy and emission objectives. This biobjective CEED problem is converted into a single objective function using a price penalty factor app...

To solve the problem regarding large-scale grid-connected consumption of a high proportion new energy sources, concentrating solar power (CSP)-photovoltaic (PV)-wind day-ahead and intraday-coordinated optimal dispatching method considering source load uncertainty is proposed. First, wind output prediction described by multi-scenario stochastic planning method, intraday source-load characterized...

Driven by ambitious renewable portfolio standards, large-scale inclusion of variable energy resources (such as wind and solar) are expected to introduce unprecedented levels uncertainty into power systems operations. The current practice operations planning with deterministic optimization models may be ill-suited for a future abundant uncertainty. To overcome the potential reliability economic ...

This paper presents a demonstration of solving combined economic and emission dispatch problems by using one of swarm intelligences, called particle swarm optimization. The objective of the combined problem can be expressed by taking both the total production cost and total emission into account with required constraints. Among potential intelligent search methods, particle swarm optimization i...

Economic load dispatch is one of the main functions of electrical power management systems. The main objective of economic load dispatch is to minimize the fuel cost while satisfying the required equality and inequality constraints. Economic Load Dispatch is a well known problem and has been a major concern for researchers and industrialists all around the world. The problem consists of divisio...

In this paper‎, ‎the impacts of premium bounds of put option contracts on the operation of put option and day-ahead electricity markets are studied‎. ‎To this end‎, ‎first a comprehensive equilibrium model for a joint put option and day-ahead markets is presented‎. ‎Interaction between put option and day-ahead markets‎, ‎uncertainty in fuel price, impact of premium bounds, and elasticity of con...

This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle sw...

With the advent of new types electrical systems that attach more importance to renewability energy resource, issues arising out randomness and volatility renewable such as safety, reliability, economic operation underlying power generation system, are expected be challenging. Generally speaking, company can do a reasonable dispatch each unit according weather forecast load demand information. F...

This paper addresses the problem of reducing CO2 emissions by applying convex optimal power flow model to the combined economic and emission dispatch problem. The large amount of CO2 emissions in the power industry is a major source of global warming effect. An efficient and economic approach to reduce CO2 emissions is to formulate the emission reduction problem as emission dispatch problem and...

Power system inertia is an essential part of grid frequency control. The number synchronously connected machines, which inherently provide inertia, decreasing due to the transition renewable energies. Conventional generation units are being replaced by via converters. Some power systems already suffer from too little inertia. Hence, a valuable yet non-traded commodity. A day-ahead dispatch meth...