A Novel Multiobjective Hybrid Technique for Siting and Sizing of Distributed Generation and Capacitor Banks in Radial Distribution Systems

Abstract

Distributed generation (DG) and capacitor bank (CB) allocation in distribution systems (DS) has the potential to enhance the overall system performance of radial distribution systems (RDS) using a multiobjective optimization technique. The benefits of CB and DG injection in the RDS greatly depend on selecting a suitable number of CBs/DGs and their volume along with the finest location. This work proposes applying a hybrid enhanced grey wolf optimizer and particle swarm optimization (EGWO-PSO) algorithm for optimal placement and sizing of DGs and CBs. EGWO is a metaheuristic optimization technique stimulated by grey wolves. On the other hand, PSO is a swarm-based metaheuristic optimization algorithm that finds the optimal solution to a problem through the movement of the particles. The advantages of both techniques are utilized to acquire mutual benefits, i.e., the exploration ability of the EGWO and the exploitation ability of the PSO. The proposed hybrid method has a high convergence speed and is not trapped in local optimal. Using this hybrid method, technical, economic, and environmental advantages are enhanced using multiobjective functions (MOF) such as minimizing active power losses, voltage deviation index (VDI), the total cost of electrical energy, and total emissions from generation sources and enhancing the voltage stability index (VSI). Six different operational cases are considered and carried out on two standard distribution systems, namely, IEEE 33- and 69-bus RDSs, to demonstrate the proposed scheme’s effectiveness extensively. The simulated results are compared with existing optimization algorithms. From the obtained results, it is observed that the proposed EGWO-PSO gives distinguished enhancements in multiobjective optimization of different conflicting objective functions and high-level performance with global optimal values.

Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations

“…On the other hand, [28] proposed an improved gray wolf algorithm to allocate DG, CBs and voltage regulators to minimize the investment costs of coordinated equipment, while maximizing the benefits arising from the reduction of energy losses and the purchase of energy. [29] used a hybrid optimizer for optimal placement and sizing of GDs and CBs. The proposed hybrid method has a high convergence speed and is not stuck in an optimal location.…”

Optimal Operation of a Hybrid Power System as an Island Microgrid in South-Korea

“…Equation ( 8) represents the total marginal cost considering the three power sources shown in the proposed system. Therefore, the merit order within the hybrid power system is determined by each generation unit's marginal costs [32,33]. The merit order within the microgrid is determined by increasing each power source's marginal cost, i.e., PHS, floating photovoltaic system, and battery supply, which in turn increases power sequentially to the customer.…”

“…These researches were carried out to evaluate the technical and financial aspects of operating microgrid power systems using renewable energy sources [29][30][31]. Proposed an optimal microgrid model via a particle swarm optimization (PSO) algorithm, leading to the best energy sources and capacity feature configuration [32]. A reliability index needs to be satisfied to ensure the power system's safety, and this is used as a basis to evaluate the microgrid's optimal capacity.…”

“…In conclusion, the proposed optimization method based on frequency control can improve power system stability, grid security, and planning flexibility of the microgrid. Laboratories and institutions can evaluate a system's capacity by using simulation programs such as HOMER, HYBRID 2, HOGA, PV syst, PV-Design Pro, and INSEL [32,39,40]. The microgrid consisted of the PV, battery, and CHP supply the residential load demand.…”

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

“…A hybrid energy system represents a combination of multiple energy sources. It has good reliability, good efficiency, fewer emissions, lower cost, and is capable of providing an uninterrupted power supply [10,11]. Particularly, the hybridization of solar and wind acknowledge their advantages over any other non-conventional energy source since the availability of both energy sources has a greater India uses an enormous amount of coal for its primary electricity generation, and it is around 60% of the total power generation.…”