Power Research

Manisha Govardhan ¹, Fenil Master ¹, Ranjit Roy ¹

Affiliations
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat- 395007, Gujarat, IN

Abstract

In a restructured power market, the independent system operator (ISO) executes the reliability constrained unit commitment (RCUC) program to plan a reliable and an economical hourly generation schedule for the day-ahead market. This work presents probabilistic method for the incorporation of the unavailability of the generating units in the solution of the Unit commitment (UC) problem. In this paper, Gbest Artificial Bee Colony (GABC) algorithm is used for solving the UC problem, while the evaluation of the required spinning reserve capacity is performed by using Loss of Load Probability (LOLP) index. IEEE RTS 24 bus system is used to demonstrate RCUC problem for different reliability levels. Considerable developments in the real time telemetry of demand-side systems allow ISO to use reserves provided by demand response programs (DRPs) in a restructured power market. In this paper, the hourly demand response is incorporated into RCUC for economic and reliability purposes. The RCUC problem with Emergency Demand Response Program (EDRP) is tested on IEEE RTS 24 bus system. Minimum cost results for each case and reduction in load demands for DRPs are formulated.

Keywords

Reliability constrained unit commitment, demand response programs, gbest artificial bee colony algorithm.

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Manisha Govardhan ¹, Ranjit Roy ¹

Affiliations
1 Department of Electrical Engineering, S. V. National Institute of Technology, Surat-395007, Gujarat, IN

Abstract

Demand response program (DRP) aims to reshape an inconsistent load demand and motivates the customers to reduce their energy consumption to get financial benefit. In this paper demand response based unit commitment (DRUC) model is used to study the impact of DRP on generation scheduling and total cost of the system. DRUC model describes the customer behavior for different incentive values and variation in the price elasticity matrix. The simulation study is carried out with a low voltage microgrid system with and without integration of solar and wind renewable sources (RS). It is found from the results that with the increase in incentive value and price elasticity matrix elements, customers tend to participate more in DRP which increases customer benefits and reduces total utility cost. It is also observed that integration of RS significantly reduces the total cost of the system.

Keywords

Demand response program (DRP), Microgrid (MG), Unit commitment (UC), Price elasticity matrix (PEM), Renewable sources (RS).

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