Economic dispatch problem in smart grid system with considerations for pumped storage
نویسندگان
چکیده
There are two significant issues with the incorporation of smart grid technology in power system operating studies including economic emission, unit commitment problem (UCP). Economic dispatch (EDP) is a UCP sub-problem which find optimum output for given combination running units. When using electro-energy systems to strategically distribute produced by all plants, especially important. Pumped storage units that have capacity store energy can provide spinning reserves, will lower overall costs and emissions. The general goal this study develop control optimization algorithms appropriate managing new generation electrical networks. In research work, issue ten-unit resolved crow search algorithm (CSA), acts as local optimizer eagle strategy (ES). outcomes ES-CSA program compared those found literature. results simulations suggest adopting lead reliable enough meet needs both civil industrial areas.
منابع مشابه
Smart Grid Unit Commitment with Considerations for Pumped Storage Units Using Hybrid GA-Heuristic Optimization Algorithm
A host of technologies has been developed to achieve these aims of the smart grid. Some of these technologies include plug-in electric vehicle, demand response program, energy storage system and renewable distributed generation. However, the integration of the smart grid technologies in the power system operation studies such as economic emission unit commitment problem causes two major challen...
متن کاملConsensus-based distributed control for economic dispatch problem with comprehensive constraints in a smart grid
Economic dispatch problem (EDP) has become more complex and challenging in power systems due to the introduction of smart grids. In a smart grid, it’s expensive and unreliable for the existing centralized controller to achieve a minimum cost when generating a certain amount of power. In this work, we define a quadratic cost function and comprehensive constraints to improve the consensus algorit...
متن کاملAn Optimal Approximate Dynamic Programming Algorithm for the Economic Dispatch Problem with Grid-Level Storage
We prove convergence of an approximate dynamic programming algorithm for a class of highdimensional stochastic control problems linked by a scalar storage device. Our problem is motivated by the problem of optimizing hourly dispatch and energy allocation decisions in the presence of grid-level storage. The model makes it possible to capture hourly, daily and seasonal variations in wind, solar a...
متن کاملPoster: Privacy in Distributed Economic Dispatch in Smart Grid
The aim of the smart grid is to achieve more efficient, distributed and secure supply of energy over the traditional power grid by using a bidirectional information flow between the grid agents (e.g. generator node, customer). One of the key optimization problems in smart grid is to produce power among generator nodes with a minimum cost while meeting the customer demand, known as Economic Disp...
متن کاملParticle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch
In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of Electrical Engineering and Informatics
سال: 2022
ISSN: ['2302-9285']
DOI: https://doi.org/10.11591/eei.v11i6.4207