Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management
| Autor: | Mamdouh Abdel-Akher, Tomonobu Senjyu, Oludamilare Bode Adewuyi, Mark Kipngetich Kiptoo, Paras Mandal, Mohammed Elsayed Lotfy |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
020209 energy 02 engineering and technology loss of power supply probability (LPSP) lcsh:Technology critical peak pricing (CPP) DRP Demand response lcsh:Chemistry Capacity planning 0202 electrical engineering electronic engineering information engineering General Materials Science Instrumentation lcsh:QH301-705.5 Fluid Flow and Transfer Processes 100% renewable energy Flexibility (engineering) photovoltaic system (PV) Multi-Objective Particle Swarm Optimization (MOPSO) business.industry lcsh:T Process Chemistry and Technology General Engineering 021001 nanoscience & nanotechnology lcsh:QC1-999 Computer Science Applications Reliability engineering Renewable energy time-ahead dynamic pricing (TADP) DRP lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Dynamic pricing demand response program (DRP) pumped heat energy storage (PHES) Microgrid energy storage system (ESS) 0210 nano-technology Energy source business lcsh:Engineering (General). Civil engineering (General) lcsh:Physics |
| Zdroj: | Applied Sciences Volume 9 Issue 18 Applied Sciences, Vol 9, Iss 18, p 3855 (2019) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app9183855 |
| Popis: | The need for energy and environmental sustainability has spurred investments in renewable energy technologies worldwide. However, the flexibility needs of the power system have increased due to the intermittent nature of the energy sources. This paper investigates the prospects of interlinking short-term flexibility value into long-term capacity planning towards achieving a microgrid with a high renewable energy fraction. Demand Response Programs (DRP) based on critical peak and time-ahead dynamic pricing are compared for effective demand-side flexibility management. The system components include PV, wind, and energy storages (ESS), and several optimal component-sizing scenarios are evaluated and compared using two different ESSs without and with the inclusion of DRP. To achieve this, a multi-objective problem which involves the simultaneous minimization of the loss of power supply probability (LPSP) index and total life-cycle costs is solved under each scenario to investigate the most cost-effective microgrid planning approach. The time-ahead resource forecast for DRP was implemented using the scikit-learn package in Python, and the optimization problems are solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm in MATLAB® From the results, the inclusion of forecast-based DRP and PHES resulted in significant investment cost savings due to reduced system component sizing. |
| Databáze: | OpenAIRE |
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