Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System
This paper investigates the stochastic optimal operation of microgrid considering the influence of energy storage system (ESS). The uncertain factors related to renewable energies are also fully considered. Monte Carlo simulation (MCS) and scenario reduction technique are used to capture the randomn...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/8/12/2560 |
| _version_ | 1811327779665346560 |
|---|---|
| author | Hong Fan Qianqian Yuan Haozhong Cheng |
| author_facet | Hong Fan Qianqian Yuan Haozhong Cheng |
| author_sort | Hong Fan |
| collection | DOAJ |
| description | This paper investigates the stochastic optimal operation of microgrid considering the influence of energy storage system (ESS). The uncertain factors related to renewable energies are also fully considered. Monte Carlo simulation (MCS) and scenario reduction technique are used to capture the randomness of renewable energy output. The objective is to minimize the operation cost and pollutant treatment cost of the microgrid system. Then, the multi-objective optimization problem is transformed to a single-objective problem by a line weighted sum method. A nonlinear programming tool—General Algebraic Modeling System (GAMS)—is adopted to solve the single-objective problem. Simulation results indicate that the total cost of the microgrid system can be reduced effectively when considering the effect of ESS and verify the correctness of the proposed strategy. |
| first_indexed | 2024-04-13T15:14:07Z |
| format | Article |
| id | doaj.art-19f489d007d64319a3b6fb9e7e2b0861 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-04-13T15:14:07Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-19f489d007d64319a3b6fb9e7e2b08612022-12-22T02:41:54ZengMDPI AGApplied Sciences2076-34172018-12-01812256010.3390/app8122560app8122560Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage SystemHong Fan0Qianqian Yuan1Haozhong Cheng2Institute of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaInstitute of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaKey Laboratory of Control of Power Transmission and Conversion, Shanghai Jiao Tong University, Shanghai 200240, ChinaThis paper investigates the stochastic optimal operation of microgrid considering the influence of energy storage system (ESS). The uncertain factors related to renewable energies are also fully considered. Monte Carlo simulation (MCS) and scenario reduction technique are used to capture the randomness of renewable energy output. The objective is to minimize the operation cost and pollutant treatment cost of the microgrid system. Then, the multi-objective optimization problem is transformed to a single-objective problem by a line weighted sum method. A nonlinear programming tool—General Algebraic Modeling System (GAMS)—is adopted to solve the single-objective problem. Simulation results indicate that the total cost of the microgrid system can be reduced effectively when considering the effect of ESS and verify the correctness of the proposed strategy.https://www.mdpi.com/2076-3417/8/12/2560microgridenergy storage systemMonte Carlo simulationscenario reductionmulti-objective optimization |
| spellingShingle | Hong Fan Qianqian Yuan Haozhong Cheng Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System Applied Sciences microgrid energy storage system Monte Carlo simulation scenario reduction multi-objective optimization |
| title | Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System |
| title_full | Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System |
| title_fullStr | Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System |
| title_full_unstemmed | Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System |
| title_short | Multi-Objective Stochastic Optimal Operation of a Grid-Connected Microgrid Considering an Energy Storage System |
| title_sort | multi objective stochastic optimal operation of a grid connected microgrid considering an energy storage system |
| topic | microgrid energy storage system Monte Carlo simulation scenario reduction multi-objective optimization |
| url | https://www.mdpi.com/2076-3417/8/12/2560 |
| work_keys_str_mv | AT hongfan multiobjectivestochasticoptimaloperationofagridconnectedmicrogridconsideringanenergystoragesystem AT qianqianyuan multiobjectivestochasticoptimaloperationofagridconnectedmicrogridconsideringanenergystoragesystem AT haozhongcheng multiobjectivestochasticoptimaloperationofagridconnectedmicrogridconsideringanenergystoragesystem |