Abstract

Distributed energy resource (DER) has been widely deployed, and distributed generation (DG) can complement the distribution system. Favorable DG deployment provides the grid-connected microgrid (MG) with stable voltage and reduces emission and power generation costs. DGs are considered distributed feeders, and MG is required to be operated under the optimal state. Reconfiguration is a practical approach to optimizing resource allocation. The optimal global solution is obtained via optimization algorithms. In this paper, three objectives are defined, namely, minimization of economic cost (ECC), emission cost (EMC), and voltage deviation (VD). Consequently, a fuzzy moth-flame optimization (FMFO) algorithm is proposed to coordinate the interests of multiple objectives. Moreover, the simulation is conducted based on the standard IEEE 33-bus radial distribution system (RDS), under which the impact of deployment of various DG type and quantity on the MG is explored. In particular, diverse DG combinations are tried under the increasing power demand, and a high-stable voltage strategy is proposed to meet the specific demands. The simulation results reveal that: (1) the DG type has a significant impact on ECC and EMC; (2) penetration level of DG shows a positive-like relationship with the MG stability; and (3) the proposed FMFO algorithm exhibits an efficient performance in convergence.

Highlights

  • Energy plays a vital role in social development

  • fuzzy moth-flame optimization (FMFO) algorithm showed an efficient performance on convergence comparing with classical FGA

  • distributed generation (DG) and achieved minimum power transmission loss (PTL), economic cost (ECC), emission cost (EMC), and voltage deviation (VD) comparing with existing research

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Summary

Introduction

Energy plays a vital role in social development. The massive consumption of traditional energy resources, represented by fossil fuels, has given rise to multiple problems, such as climate change [1]. The employment of three types of controllable DER generation units, DE, MT, and FC, are considered to explore the impact of diverse DG combinations on optimal reconfiguration results, such as the effect on load demand, bus voltage, and branch line current. Uncontrollable DER generation units, DE, MT, and FC, are studied, and the corresponding models of ECC, EMC, and VD are established in mathematical expression patterns, respectively; An FMFO algorithm is proposed to solve the multiobjective optimization problem and acquire the optimal global solution in MG reconfiguration; An in-depth exploration of the potential impact of DG type and quantity on the power distribution system’s performance is conducted by employing of penetration level of DG; The step-by-step changing power demands of prosumers are considered to study the optimization strategy under critical situations;.

Objective Functions
Minimization of ECC
Minimization of EMC
Minimization of VD
Equality Constraint
Inequality Constraint
Hybrid FMFO Algorithm
MFO Algorithm
Heuristic Fuzzy
Membership Function for ECC
Membership Function for EMC
Membership Function for VD
Simulation and Discussion
Initialization and Settings
Simulation and Case Study
Case 1
Case 2
Case 3
Case 4
Scenario
Analysis and Discussion
Evaluation of Algorithm
Data Analysis and DG Placement Strategy
Literature Results
Conclusions
Full Text
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