A low‐carbon economic dispatch model for electricity market with wind power based on improved ant‐lion optimisation algorithm

نویسندگان

چکیده

Abstract Introducing carbon trading into electricity market can convert dioxide schedulable resources with economic value. However, the randomness of wind power generation puts forward higher requirements for transactions. Therefore, is introduced market, and a new form low‐carbon dispatch model developed. First, goal be considered. It projected to save money reduce cost system. The includes risk operating costs account impact output variability on system, as well farm negative efficiency loss caused by abandonment. also employs metrics achieve lowering system emissions, analyze different prices A implemented based following two goals. Finally, solution optimised using Ant‐lion optimisation method, which combines Levi's flight mechanism golden sine. proposed algorithm's rationality proven through use cases.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solving Economic Dispatch in Competitive Power Market Using Improved Particle Swarm Optimization Algorithm

Generally the generation units in the traditional structure of the electricity industry try to minimize their costs. However, in a deregulated environment, generation units are looking to maximize their profits in a competitive power market. Optimum generation planning in such structure is urgent. This paper presents a new method of solving economic dispatch in the competitive electricity marke...

متن کامل

Improved Bacterial Foraging Algorithm for Optimum Economic Emission Dispatch with Wind Power

In this paper, an improved bacterial foraging algorithm (IBFA) is employed to solve economicemission dispatch (EED) problem. Regarding to more interest to renewable energy sources especially wind energy in recent years, it is necessary to use of incorporate wind power plants into EED problem. To consider realistic conditions, EED is included bi-objective of cost and NOx emission. The problems e...

متن کامل

Risk Reserve Constrained Economic Dispatch Model with Wind Power Penetration

This paper develops a modified economic dispatch (ED) optimization model with wind power penetration. Due to the uncertain nature of wind speed, both overestimation and underestimation of the available wind power are compensated using the up and down spinning reserves. In order to determine both of these two reserve demands, the risk-based up and down spinning reserve constraints are presented ...

متن کامل

Micro Genetic Algorithm Based Electrical Power Dispatch for Deregulated Electricity Market

The application of the genetic algorithm and micro genetic algorithm are used to solve the optimal power dispatch problem for a multi-node auction market is proposed in this paper. The optimal power dispatch problem is a non-linear optimisation problem with several constraints. The objective of the proposed algorithms is to maximise the total participants’ benefit at all nodes in the system. Th...

متن کامل

Optimal electricity market for wind power

This paper is about electricity market operation when looking from the wind power producers’ point of view. The focus in on market time horizons: how many hours there is between the closing and delivering the bids. The case is for the Nordic countries, the Nordpool electricity market and the Danish wind power production. Real data from year 2001 was used to study the benefits of a more flexible...

متن کامل

ذخیره 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: CAAI Transactions on Intelligence Technology

سال: 2022

ISSN: ['2468-2322', '2468-6557']

DOI: https://doi.org/10.1049/cit2.12138