Abstract

With the deepening of the power market reform on the retail side, it is of great significance to study the economic optimization of the microgrid cluster system. Aiming at the economics of the microgrid cluster, comprehensively considering the degradation cost of energy storage battery, the compensation cost of demand-side controllable loads dispatch, the electricity transaction cost between the microgrids, and the electricity transaction cost between the microgrid and the power distribution network of the microgrid cluster, we establish an optimal dispatch model for the microgrid cluster including wind turbines, photovoltaics, and energy storage batteries. At the same time, in view of the problem that the population diversity of the basic sparrow search algorithm decreases and it is easy to fall into local extremes in the later iterations of the basic sparrow search algorithm, a chaos sparrow search algorithm based on Bernoulli chaotic mapping, dynamic adaptive weighting, Cauchy mutation, and reverse learning is proposed, and different types of test functions are used to analyze the convergence effect of the algorithm, and the calculation effects of the sparrow algorithm, the particle swarm algorithm, the chaotic particle swarm, and the genetic algorithm are compared. The algorithm has higher convergence speed, higher accuracy, and better global optimization ability. Finally, through the calculation example, it is concluded that the benefit of the microgrid cluster is increased by nearly 20%, which verifies the effectiveness of the improvement.

Highlights

  • With the current energy shortage and environmental problems in power supply becoming more and more serious, the microgrid composed of renewable energy sources has been widely used [1,2,3], which can improve the energy efficiency and protect the environment, reduce costs, and meet the requirements of economy, environmental protection, and stability [4,5,6,7,8,9,10]

  • Based on the abovementioned problems, this paper improves the optimization model of the microgrid cluster and comprehensively considers the degradation cost of energy storage battery, the compensation cost of demandside controllable loads dispatch, the electricity transaction cost between the microgrids, and the electricity transaction between the microgrid and the power distribution network of the microgrid cluster, establishes a dynamic energy trading model for the microgrid cluster, promotes the balance of supply and demand within the cluster by continuously coordinating the electricity transaction volume between microgrids, and reduces system operating costs

  • During the operation of the microgrid cluster, the costs are mainly composed of the compensation cost of the demand-side controllable load dispatch, the degradation cost of the energy storage battery, the electricity transaction cost between the microgrids, and the electricity transaction cost between the microgrid and power distribution network. e optimization objective function can be expressed as min f(x) 􏽘 CCi,tL + 􏽘 CBi,tD + 􏽘 CMi,tN + 􏽘 CDi,tN, (8)

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Summary

Introduction

With the current energy shortage and environmental problems in power supply becoming more and more serious, the microgrid composed of renewable energy sources has been widely used [1,2,3], which can improve the energy efficiency and protect the environment, reduce costs, and meet the requirements of economy, environmental protection, and stability [4,5,6,7,8,9,10]. Literature [12] proposed a multi-microgrid coordinated and optimized dispatching model based on double auction to optimize the sum of interactive power between each microgrid and other microgrids and power distribution network This model optimized the electricity transaction volume between microgrids, it did not take into account the influence of demand-side controllable loads on the electrical energy interaction between microgrids. Based on the abovementioned problems, this paper improves the optimization model of the microgrid cluster and comprehensively considers the degradation cost of energy storage battery, the compensation cost of demandside controllable loads dispatch, the electricity transaction cost between the microgrids, and the electricity transaction between the microgrid and the power distribution network of the microgrid cluster, establishes a dynamic energy trading model for the microgrid cluster, promotes the balance of supply and demand within the cluster by continuously coordinating the electricity transaction volume between microgrids, and reduces system operating costs.

Microgrid Cluster Structure and DemandSide Response Model
Operating Cost Model
Constraints
Improved Sparrow Algorithm
Function Test
Findings
Case Analysis
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