Optimal energy scheduling for a grid connected Microgrid based on Multi-period Imperialist competition algorithm

Maziar Mirhosseini Moghaddam; Mousa Marzband; Narges Parhizi

doi:10.1109/PECON.2016.7951470

Optimal energy scheduling for a grid connected Microgrid based on Multi-period Imperialist competition algorithm

Maziar Mirhosseini Moghaddam, Mousa Marzband, Narges Parhizi

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

Abstract

More flexibility, better reliability achievement and optimal usage of distributed generation are all together caused to develop Microgrids (MGs) in the power systems. The main duty of an optimal Energy Management System (EMS) is to find the best solution for operation and scheduling of generation resources with the least possible of the operation cost, demand side management and power exchange with the main grid. An EMS based on Multi-dimension Imperialist Competitive Algorithm (thereafter it is called EMS-MICA briefly) is proposed in this paper to consider the non-linear nature of MG system. The fulfillment of the load requirement, the technical specifications of the generation resources and the main grid constraints are included in the proposed problem. Moreover, the obtained results are compared to an EMS based on Mixed Integer Non-linear Programming (EMS-MINLP) approach to achieve the lower Market Clearing Price (MCP) during day-ahead scheduling. The results are proved that the efficiency of the proposed algorithm is significantly improved in comparison with the EMS-MINLP algorithm.

Original language	English
Title of host publication	Power and Energy (PECon), 2016 IEEE International Conference on
Publisher	IEEE
Pages	44-49
Number of pages	6
ISBN (Print)	9781509025473
DOIs	https://doi.org/10.1109/PECON.2016.7951470
Publication status	Published - 19 Jun 2017
Event	IEEE International Conference on Power and Energy - Melaka, Malaysia Duration: 28 Nov 2016 → 29 Nov 2016

Conference

Conference	IEEE International Conference on Power and Energy
Abbreviated title	PECon 2016
Country/Territory	Malaysia
City	Melaka
Period	28/11/16 → 29/11/16

Keywords

Demand-side management
Grid connected
Imperialist competition algorithm
Microgrid
Optimum energy management

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10.1109/PECON.2016.7951470

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abstract = "More flexibility, better reliability achievement and optimal usage of distributed generation are all together caused to develop Microgrids (MGs) in the power systems. The main duty of an optimal Energy Management System (EMS) is to find the best solution for operation and scheduling of generation resources with the least possible of the operation cost, demand side management and power exchange with the main grid. An EMS based on Multi-dimension Imperialist Competitive Algorithm (thereafter it is called EMS-MICA briefly) is proposed in this paper to consider the non-linear nature of MG system. The fulfillment of the load requirement, the technical specifications of the generation resources and the main grid constraints are included in the proposed problem. Moreover, the obtained results are compared to an EMS based on Mixed Integer Non-linear Programming (EMS-MINLP) approach to achieve the lower Market Clearing Price (MCP) during day-ahead scheduling. The results are proved that the efficiency of the proposed algorithm is significantly improved in comparison with the EMS-MINLP algorithm.",

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AU - Moghaddam, Maziar Mirhosseini

AU - Marzband, Mousa

AU - Parhizi, Narges

PY - 2017/6/19

Y1 - 2017/6/19

N2 - More flexibility, better reliability achievement and optimal usage of distributed generation are all together caused to develop Microgrids (MGs) in the power systems. The main duty of an optimal Energy Management System (EMS) is to find the best solution for operation and scheduling of generation resources with the least possible of the operation cost, demand side management and power exchange with the main grid. An EMS based on Multi-dimension Imperialist Competitive Algorithm (thereafter it is called EMS-MICA briefly) is proposed in this paper to consider the non-linear nature of MG system. The fulfillment of the load requirement, the technical specifications of the generation resources and the main grid constraints are included in the proposed problem. Moreover, the obtained results are compared to an EMS based on Mixed Integer Non-linear Programming (EMS-MINLP) approach to achieve the lower Market Clearing Price (MCP) during day-ahead scheduling. The results are proved that the efficiency of the proposed algorithm is significantly improved in comparison with the EMS-MINLP algorithm.

AB - More flexibility, better reliability achievement and optimal usage of distributed generation are all together caused to develop Microgrids (MGs) in the power systems. The main duty of an optimal Energy Management System (EMS) is to find the best solution for operation and scheduling of generation resources with the least possible of the operation cost, demand side management and power exchange with the main grid. An EMS based on Multi-dimension Imperialist Competitive Algorithm (thereafter it is called EMS-MICA briefly) is proposed in this paper to consider the non-linear nature of MG system. The fulfillment of the load requirement, the technical specifications of the generation resources and the main grid constraints are included in the proposed problem. Moreover, the obtained results are compared to an EMS based on Mixed Integer Non-linear Programming (EMS-MINLP) approach to achieve the lower Market Clearing Price (MCP) during day-ahead scheduling. The results are proved that the efficiency of the proposed algorithm is significantly improved in comparison with the EMS-MINLP algorithm.

KW - Demand-side management

KW - Grid connected

KW - Imperialist competition algorithm

KW - Microgrid

KW - Optimum energy management

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DO - 10.1109/PECON.2016.7951470

M3 - Chapter

SN - 9781509025473

SP - 44

EP - 49

BT - Power and Energy (PECon), 2016 IEEE International Conference on

PB - IEEE

T2 - IEEE International Conference on Power and Energy

Y2 - 28 November 2016 through 29 November 2016

ER -

Optimal energy scheduling for a grid connected Microgrid based on Multi-period Imperialist competition algorithm

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Keywords

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