Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement

Summary In the operation of a deregulated power system, congestion and power loss are the two major factors causing price fluctuation in different parts of the network. In this paper, a new method is proposed for calculating and investing the congestion surplus. In this method, congestion surplus, which is calculated on the basis of flow‐gate marginal prices, is used as an economic signal to control the network. In this regard, different strategies such as the definition of sensitive buses and priority list of the congested lines are proposed from the perspective of flow‐gate marginal price concept. In order to verify the novel reformation, distributed generation planning is presented as an illustrative example. In this approach, proper investment is applied to increase the social welfare under new formulation in the presence of distributed generation resources. The proposed algorithm is implemented on IEEE 30‐bus and IEEE 57‐bus networks. The results emphasize the accuracy and efficiency of the proposed algorithm for calculating the congestion surplus and increasing social welfare with the least amount of investment.

Section: Problem Formulationmentioning

confidence: 99%

A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

Nematbakhsh

Hooshmand

Hemmati

2017

“…4 These issues divert the attention of distribution system planners towards distributed generation (DG) and distributed static compensator (DSTATCOM). [6][7][8][9] On the contrary, to enhance the stability and power quality, DSTATCOM is also used in radial distribution system (RDS) that can automatically compensate the reactive power according to system's variable load. [6][7][8][9] On the contrary, to enhance the stability and power quality, DSTATCOM is also used in radial distribution system (RDS) that can automatically compensate the reactive power according to system's variable load.…”

Section: Introductionmentioning

confidence: 99%

“…[6][7][8][9][10][11] However, in the past few years, there is a present trend of increasing the penetration level of DG into the system to reduce the grid dependency, which brings various power quality and operational issues to the existing power grid. [6][7][8][9][10][11] However, in the past few years, there is a present trend of increasing the penetration level of DG into the system to reduce the grid dependency, which brings various power quality and operational issues to the existing power grid.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

Sannigrahi

Ghatak

Acharjee

2019

Summary In this study, a hybrid approach based on fuzzy logic and rooted tree optimization (RTO) algorithm is proposed for the strategic incorporation of distributed generation (DG) and distributed static compensator (DSTATCOM) in radial distribution system (RDS) to improve voltage profile, reduce losses, and maximize economic and environmental benefits. Fuzzy logic is applied to bring the objectives in the same range, and using RTO technique, the optimal site and size of the devices are determined. Considering the uncertainty in DG's output and time‐varying system load, the proposed technique is tested on 69‐bus and 118‐bus RDSs, and to check the accuracy and feasibility, the simulation results are compared with other existing techniques. The Wilcoxon signed rank test (WSRT) is applied to confirm the superiority of the proposed algorithm. Furthermore, comparative performance analysis is conducted between different planning schemes for facilitating the distribution system planner to select the most suitable one.

“…The power grid suffers significant changes because of increasing energy demand. Distributed generations (DGs), such as photovoltaics (PV), wind turbine (WT), micro‐turbines (MT), and fuel cells (FC) are important components of power supply systems . The concept of microgrid (MG) solves the problem for high penetration of DGs to effectively combine DGs with loads and utility.…”

Section: Introductionmentioning

confidence: 99%

Optimization of economic/environmental operation management for microgrids by using hybrid fireworks algorithm

Wang

Zhu

Huang

et al. 2017

Summary The wide use of renewable energy sources stimulates the implementation of microgrid (MG) systems. MG is an independent power system that consists of various distributed generations (DGs), storage devices, and loads. The optimization problems of MG have gained wide spread interest considering the economic and environmental operation management of the system. To address the multi‐variable non‐linear programming problem with multiple hybrid constraints, this paper proposes a novel hybrid multi‐objective fireworks algorithm with gravitational search operator (MFAGSO). In the algorithm, the operator, as a new search mechanism, directs the sparks in the clustered region to exchange positional information with Pareto‐optimal solutions at each iteration process for obtaining accurate results. The operation management of typical grid‐connected MG, which comprises various DGs and storage battery, was optimized within 24 hours to evaluate the performance of the proposed algorithm. Considering operation cost and pollutant emission individually or simultaneously, 3 scenarios were involved in operation management for power market planning and practical considerations. The simulation results of the proposed algorithm were compared with those from other methods employed in previous literature and original fireworks algorithm. The results demonstrated the superior performance of the proposed method to solve operation management for optimizing problems of MG.