Multi-objective optimal operation with demand management and voltage stability

Furukakoi, Masahiro; Sediqi, Mohammad Masih; Chakraborty, Shantanu; Hassan, Mohamed; Senjyu, Tomonobu

doi:10.23919/iccas.2017.8204470

“…The optimization problem of mixed integer programming (10) was solved by the branch-and-bound method using software for each time point taken into account, taking into account the data presented in Table 1.   in accordance with which the controlled electric receivers are managed, including due to the shift of technological operations in time.…”

Section: Resultsmentioning

confidence: 99%

Demand management by active consumers in intelligent electric power systems

Tretyakov

¹

2020

View full text Add to dashboard Cite

The approaches to demand management by active consumers through forming a given schedule of power consumption in the required period of time based on the solution of the optimization problem in the form of maximizing the power of connected controlled electric receivers of various types are presented. The model of demand management by active consumers is justified, taking into account the following factors: load sensitivity for connecting a transformer substation to a change in consumer load; load priority; consistent load reduction levels with flexible performance and power control; permissible set of electric receivers in accordance with the technological process, network schedule, other logical conditions corresponding to adjacency lists. An algorithm has been developed for limiting power on the part of active consumers based on the widespread use of digital data processing technologies, modern technical means of measurement, control and switching of end consumers in real time. The presented research results indicate the validity of the demand management method by active consumers in the normal mode of intelligent electric power systems and the possibility of its practical implementation in an industrial enterprise with reference to the technological process.

show abstract

“…The optimization problem of mixed integer programming (10) was solved by the branch-and-bound method using software for each time point taken into account, taking into account the data presented in Table 1. Fig.…”

Section: Resultsmentioning

confidence: 99%

“…In this case, the interconnection of electric receivers by functional feature is not taken into account, which usually corresponds to household consumers. In [8][9][10], a model of an active consumer is presented with minimum cost electricity consumption based on the assignment of planned load schedules with their own profitability coefficients and taking into account changes in the cost of electricity during the billing period if there is own generation. Many works are also associated with determining the optimal electric consumption schedule for the minimum cost for MicroGrid [11][12], for the group of heterogeneous consumers in general [13], as well as for minimizing the shape factor of the load graph [14].…”

Section: Methodsmentioning

confidence: 99%

Demand management by active consumers in intelligent electric power systems

Tretyakov

¹

2020

E3S Web Conf.

1

0

View full text Add to dashboard Cite

The approaches to demand management by active consumers through forming a given schedule of power consumption in the required period of time based on the solution of the optimization problem in the form of maximizing the power of connected controlled electric receivers of various types are presented. The model of demand management by active consumers is justified, taking into account the following factors: load sensitivity for connecting a transformer substation to a change in consumer load; load priority; consistent load reduction levels with flexible performance and power control; permissible set of electric receivers in accordance with the technological process, network schedule, other logical conditions corresponding to adjacency lists. An algorithm has been developed for limiting power on the part of active consumers based on the widespread use of digital data processing technologies, modern technical means of measurement, control and switching of end consumers in real time. The presented research results indicate the validity of the demand management method by active consumers in the normal mode of intelligent electric power systems and the possibility of its practical implementation in an industrial enterprise with reference to the technological process.

show abstract

“…The former cares more about the economic operation in the steady-state condition, while the latter focuses on the secure and stable operation of the power system in the dynamic condition. Both problems have been extensively studied but in a separate way [15,16].…”

Section: B Power System Stabilitymentioning

confidence: 99%

“…To ensure the voltage stability, static voltage constraints, and dynamic constraints are proposed in various references. The most common static voltage constraints are the bus voltage constraints in (8) that limit the bus voltage with high and low boundaries [16,40,73]- [75].…”

Section: A Voltage Stability Constraintmentioning

confidence: 99%