Abstract
Dynamic economic and environmental load dispatch (DEED) aims to determine the amount of electricity generated from power plants during the planning period to meet load demand while minimizing energy consumption costs and environmental pollution emission indicators subject to the operation requirements. This planning problem is usually expressed using a nonsmooth cost function, taking into account various equality and inequality constraints such as valve-point effects, operational limits, power balance, and ramp rate limits. This paper presents DEED models developed for a system consisting of thermal units, wind power generators, photovoltaic (PV) generators, and energy storage (ES). A selection hyper-heuristic algorithm is proposed to solve the problems. Three heuristic mutation operators formed a low-level operator pool to direct search the solution space of DEED. The high level of SHHA evaluates the performances of the low-level operators and dynamically adjusts the chosen probability of each operator. Simulation experiments were carried out on four systems of different types or sizes. The results verified the effectiveness of the proposed method.
Highlights
With the rapid growth of modern industry and global economy, people’s demand for electricity in production and life is constantly increasing. erefore, how to dispatch power production according to the forecasted load demand and improve the generation e ciency of generating units has always been an important research issue in power system operational planning
We introduce a sliding time window (STW) to dynamically evaluate the historical performance of the low-level operators. e length of the STW is much smaller than the maximum number of iteration. e uniformity of the nondominated solution and the dominated relationship between parent and offspring individuals are used as the evaluation indexes
Four test cases are studied to evaluate the performance of the proposed algorithm. e scheduling time NT of all cases is selected as one day with 24 hours, and the valve-point effect and the ramp rate constraints are taken into account
Summary
With the rapid growth of modern industry and global economy, people’s demand for electricity in production and life is constantly increasing. erefore, how to dispatch power production according to the forecasted load demand and improve the generation e ciency of generating units has always been an important research issue in power system operational planning. Traditional economic load dispatch aims to determine the operation status of each unit in a power plant within the planned time and minimize the energy consumption cost while meeting the demand for power load and the operational requirements of generating units. While reducing energy consumption costs, further reducing environmental pollution emission indicators has become a new requirement for optimizing load dispatch. Energy consumption cost and environmental pollution emissions are two key indicators and minor improvements can bring signi cant economic and environmental bene ts [1]. Economic and emission load dispatch (EED) is a multiobjective optimization problem that considers these two con icting indicators at the same time [2]. E energy crisis caused by the longterm consumption of fossil energy and the global demand for clean energy promotes the development of renewable energy. At the same time, the introduction of these renewable energy sources will bring more complex planning and uncertainty to the power grid production [5]
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