Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms
The study on the sizing of renewable energy generation systems and energy storage systems together in a household considering different price mechanisms can further promote the development of the home energy management system (HEMS). In this paper, a HEMS expressed as a bi-level model is provided to...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8379343/ |
| _version_ | 1818618286460370944 |
|---|---|
| author | Lai Zhou Yongjun Zhang Xiaoming Lin Canbing Li Zexiang Cai Ping Yang |
| author_facet | Lai Zhou Yongjun Zhang Xiaoming Lin Canbing Li Zexiang Cai Ping Yang |
| author_sort | Lai Zhou |
| collection | DOAJ |
| description | The study on the sizing of renewable energy generation systems and energy storage systems together in a household considering different price mechanisms can further promote the development of the home energy management system (HEMS). In this paper, a HEMS expressed as a bi-level model is provided to investigated capacity allocation strategy of the photovoltaic (PV) and battery energy storage system (BESS) in a smart household considering: 1) the impact of electricity price mechanisms which include the time-of-use pricing (TOU), the real-time pricing (RTP), and the stepwise power tariff (SPT); 2) the effect of subsidies of PV; and 3) the uncertainty in the PV output and seasonal load profiles. Then, the hybrid approach which combines the cataclysmic genetic algorithm and the DICOPT solver in GAMS is employed to find an optimal solution. Finally, six cases with different price mechanisms and approaches, as well as the sensitivity analysis of optimal solution to subsidies are presented. Results indicate that, with the subsidies, only the PV system needs to be equipped in a household under the SPT, while the PV system and BESS need to be equipped together under the RTP and TOU. Only when the subsidies of PV reach a certain level will the installation of PV be considered. |
| first_indexed | 2024-12-16T17:19:11Z |
| format | Article |
| id | doaj.art-7d9433b11edf47b1b4e4ec126f8d6827 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:19:11Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7d9433b11edf47b1b4e4ec126f8d68272022-12-21T22:23:12ZengIEEEIEEE Access2169-35362018-01-016410504105910.1109/ACCESS.2018.28459008379343Optimal Sizing of PV and BESS for a Smart Household Considering Different Price MechanismsLai Zhou0https://orcid.org/0000-0002-4313-9462Yongjun Zhang1https://orcid.org/0000-0002-1135-6788Xiaoming Lin2Canbing Li3Zexiang Cai4Ping Yang5Key Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power, South China University of Technology, Guangzhou, ChinaKey Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power, South China University of Technology, Guangzhou, ChinaKey Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power, South China University of Technology, Guangzhou, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaKey Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power, South China University of Technology, Guangzhou, ChinaKey Laboratory of Clean Energy Technology of Guangdong Province, School of Electric Power, South China University of Technology, Guangzhou, ChinaThe study on the sizing of renewable energy generation systems and energy storage systems together in a household considering different price mechanisms can further promote the development of the home energy management system (HEMS). In this paper, a HEMS expressed as a bi-level model is provided to investigated capacity allocation strategy of the photovoltaic (PV) and battery energy storage system (BESS) in a smart household considering: 1) the impact of electricity price mechanisms which include the time-of-use pricing (TOU), the real-time pricing (RTP), and the stepwise power tariff (SPT); 2) the effect of subsidies of PV; and 3) the uncertainty in the PV output and seasonal load profiles. Then, the hybrid approach which combines the cataclysmic genetic algorithm and the DICOPT solver in GAMS is employed to find an optimal solution. Finally, six cases with different price mechanisms and approaches, as well as the sensitivity analysis of optimal solution to subsidies are presented. Results indicate that, with the subsidies, only the PV system needs to be equipped in a household under the SPT, while the PV system and BESS need to be equipped together under the RTP and TOU. Only when the subsidies of PV reach a certain level will the installation of PV be considered.https://ieeexplore.ieee.org/document/8379343/Photovoltaic systembattery energy storage systemsmart householdhome energy management systemelectricity pricesubsidy |
| spellingShingle | Lai Zhou Yongjun Zhang Xiaoming Lin Canbing Li Zexiang Cai Ping Yang Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms IEEE Access Photovoltaic system battery energy storage system smart household home energy management system electricity price subsidy |
| title | Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms |
| title_full | Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms |
| title_fullStr | Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms |
| title_full_unstemmed | Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms |
| title_short | Optimal Sizing of PV and BESS for a Smart Household Considering Different Price Mechanisms |
| title_sort | optimal sizing of pv and bess for a smart household considering different price mechanisms |
| topic | Photovoltaic system battery energy storage system smart household home energy management system electricity price subsidy |
| url | https://ieeexplore.ieee.org/document/8379343/ |
| work_keys_str_mv | AT laizhou optimalsizingofpvandbessforasmarthouseholdconsideringdifferentpricemechanisms AT yongjunzhang optimalsizingofpvandbessforasmarthouseholdconsideringdifferentpricemechanisms AT xiaominglin optimalsizingofpvandbessforasmarthouseholdconsideringdifferentpricemechanisms AT canbingli optimalsizingofpvandbessforasmarthouseholdconsideringdifferentpricemechanisms AT zexiangcai optimalsizingofpvandbessforasmarthouseholdconsideringdifferentpricemechanisms AT pingyang optimalsizingofpvandbessforasmarthouseholdconsideringdifferentpricemechanisms |